16.7.4.7.1 Models, Inference, Learning Human Activities, Human Behavior

Chapter Contents (Back)
Activity Recognition. Human Activity. Human Behavior. Human Motion. See also Human Activity Recognition, Human Behaviors.

Galata, A.[Aphrodite], Johnson, N.[Neil], Hogg, D.C.[David C.],
Learning Variable-Length Markov Models of Behavior,
CVIU(81), No. 3, March 2001, pp. 398-413.
DOI Link 0001
BibRef
Earlier:
Learning Structured Behavior Models using Variable Length Markov Models,
MPeople99(xx-yy). BibRef
And:
Learning Behaviour Models of Human Activities,
BMVC99(Modelling Human Behaviour).
PDF File. BibRef
Earlier: A2, A1, A3:
The Acquisition and Use of Interaction Behaviour Models,
CVPR98(866-871).
IEEE DOI BibRef

Rosales, R.[Rómer], Sclaroff, S.[Stan],
A framework for heading-guided recognition of human activity,
CVIU(91), No. 3, September 2003, pp. 335-367.
WWW Link. 0310
BibRef
Earlier:
3D Trajectory Recovery for Tracking Multiple Objects and Trajectory-Guided Recognition of Actions,
CVPR99(II: 117-123).
IEEE DOI BibRef

Hu, W., Xie, D., Tan, T.N.[Tie-Niu], Maybank, S.J.[Steve J.],
Learning Activity Patterns Using Fuzzy Self-Organizing Neural Network,
SMC-B(34), No. 3, June 2004, pp. 1618-1626.
IEEE Abstract. 0407
BibRef

Hu, W.M.[Wei-Ming], Xie, D.[Dan], Fu, Z.Y.[Zhou-Yu], Zeng, W.R.[Wen-Rong], Maybank, S.J.[Steve J.],
Semantic-Based Surveillance Video Retrieval,
IP(16), No. 4, April 2007, pp. 1168-1181.
IEEE DOI 0704
See also Survey on Visual Content-Based Video Indexing and Retrieval, A. BibRef

Huang, K.Q.[Kai-Qi], Wang, S., Tan, T.N.[Tie-Niu], Maybank, S.J.[Steve J.],
Human Behavior Analysis Based on a New Motion Descriptor,
CirSysVideo(19), No. 12, December 2009, pp. 1830-1840.
IEEE DOI 0912
BibRef

Oliver, N.M.[Nuria M.], Garg, A.[Ashutosh], Horvitz, E.J.[Eric J.],
Layered representations for learning and inferring office activity from multiple sensory channels,
CVIU(96), No. 2, November 2004, pp. 163-180.
WWW Link. 0410
BibRef

Favier, P.A.[Pierre-Alexandre], de Loor, P.[Pierre],
From Decision to Action: Intentionality, A Guide for the Specification of Intelligent Agent's Behavior,
IJIG(6), No. 1, January 2006, pp. 87-99. 0601
BibRef

Gueguen, L.[Lionel], Datcu, M.[Mihai],
Image Time-Series Data Mining Based on the Information-Bottleneck Principle,
GeoRS(45), No. 4, April 2007, pp. 827-838.
IEEE DOI 0704
BibRef

Gudmundsson, J.[Joachim], van Kreveld, M.[Marc], Speckmann, B.[Bettina],
Efficient Detection of Patterns in 2D Trajectories of Moving Points,
GeoInfo(11), No. 2, June 2007, pp. 195-215.
Springer DOI 0709
BibRef

Nascimento, J.C.[Jacinto C.], Figueiredo, M.A.T.[Mario A.T.], Marques, J.S.[Jorge S.],
Independent increment processes for human motion recognition,
CVIU(109), No. 2, February 2008, pp. 126-138.
WWW Link. 0711
BibRef
Earlier:
Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications,
ICIP07(III: 197-200).
IEEE DOI 0709
BibRef
Earlier:
On-Line Classification of Human Activities,
IbPRIA07(II: 444-451).
Springer DOI 0706
BibRef
Earlier:
Recognition of Human Activities Using Space Dependent Switched Dynamical Models,
ICIP05(III: 852-855).
IEEE DOI 0512
Surveillance; Human motion; Activity recognition; Independent increment processes; Minimum description length BibRef

Nascimento, J.C.[Jacinto C.], Marques, J.S.[Jorge S.], Figueiredo, M.A.T.[Mario A. T.],
Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling,
ICIP11(1429-1432).
IEEE DOI 1201
BibRef
Earlier:
Classification of complex pedestrian activities from trajectories,
ICIP10(3481-3484).
IEEE DOI 1009
BibRef
And:
Discriminative model selection for object motion recognition,
ICIP10(3953-3956).
IEEE DOI 1009
BibRef

Nascimento, J.C.[Jacinto C.], Figueiredo, M.A.T.[Mario A.T.], Marques, J.S.[Jorge S.],
Unsupervised learning of motion patterns using generative models,
ICIP08(761-764).
IEEE DOI 0810
BibRef

Mokhber, A.[Arash], Achard, C.[Catherine], Milgram, M.[Maurice],
Recognition of human behavior by space-time silhouette characterization,
PRL(29), No. 1, 1 January 2008, pp. 81-89.
WWW Link. 0711
Behavior recognition; Action recognition; Motion analysis BibRef

Achard, C.[Catherine], Qu, X.T.[Xing-Tai], Mokhber, A.[Arash], Milgram, M.[Maurice],
A novel approach for recognition of human actions with semi-global features,
MVA(19), No. 1, January 2008, pp. 27-34.
Springer DOI 0801
BibRef
Earlier:
Action Recognition with Semi-global Characteristics and Hidden Markov Models,
ACIVS07(274-284).
Springer DOI 0708
BibRef
Earlier: A3, A1, A4, A2:
Combined Classifiers for Action Recognition,
IWICPAS06(27-34).
Springer DOI 0608
BibRef
Earlier: A3, A1, A2, A4:
Action Recognition with Global Features,
CVHCI05(110).
Springer DOI 0601
BibRef

Oh, S.M.[Sang Min], Rehg, J.M.[James M.], Balch, T.[Tucker], Dellaert, F.[Frank],
Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems,
IJCV(77), No. 1-3, May 2008, pp. 103-124.
Springer DOI 0803
BibRef
Earlier:
Learning and Inference in Parametric Switching Linear Dynamical Systems,
ICCV05(II: 1161-1168).
IEEE DOI 0510
BibRef
And: A1, A2, A4, Only:
Parameterized Duration Mmodeling for Switching Linear Dynamic Systems,
CVPR06(II: 1694-1700).
IEEE DOI 0606
Bee dances. for learning parameterized motions. BibRef

Xie, L., Sundaram, H., Campbell, M.,
Event Mining in Multimedia Streams,
PIEEE(96), No. 4, April 2008, pp. 623-647.
IEEE DOI 0804
BibRef

Jung, C.R., Hennemann, L., Musse, S.R.,
Event Detection Using Trajectory Clustering and 4-D Histograms,
CirSysVideo(18), No. 11, November 2008, pp. 1565-1575.
IEEE DOI 0811
BibRef

Yuan, J., Meng, J., Wu, Y., Luo, J.,
Mining Recurring Events Through Forest Growing,
CirSysVideo(18), No. 11, November 2008, pp. 1597-1607.
IEEE DOI 0811
BibRef

Lymberopoulos, D., Teixeira, T., Savvides, A.,
Macroscopic Human Behavior Interpretation Using Distributed Imager and Other Sensors,
PIEEE(96), No. 10, October 2008, pp. 1657-1677.
IEEE DOI 0811
BibRef

Chin, T.J.[Tat-Jun], Suter, D.[David],
Out-of-Sample Extrapolation of Learned Manifolds,
PAMI(30), No. 9, September 2008, pp. 1547-1556.
IEEE DOI 0808
BibRef

Chin, T.J.[Tat-Jun], Wang, L.[Liang], Schindler, K.[Konrad], Suter, D.[David],
Extrapolating Learned Manifolds for Human Activity Recognition,
ICIP07(I: 381-384).
IEEE DOI 0709
BibRef

Wang, L.[Liang], Suter, D.[David],
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Zhou, H.[Hang], Wang, L.[Liang], Suter, D.[David],
Human action recognition by feature-reduced Gaussian process classification,
PRL(30), No. 12, 1 September 2009, pp. 1059-1066,.
Elsevier DOI 0909
BibRef
Earlier:
Human motion recognition using Gaussian Processes classification,
ICPR08(1-4).
IEEE DOI 0812
Human action recognition; Characteristic-based descriptor; Gaussian process classification; Spectral feature reduction BibRef

Wang, L.[Liang], Zhou, H.[Hang], Low, S.C.[Sui-Chien], Leckie, C.[Christopher],
Action recognition via multi-feature fusion and Gaussian process classification,
WACV09(1-6).
IEEE DOI 0912
BibRef

Fernandez, C.[Carles], Baiget, P.[Pau], Roca, F.X.[F. Xavier], Gonzalez, J.[Jordi],
Interpretation of complex situations in a semantic-based surveillance framework,
SP:IC(23), No. 7, August 2008, pp. 554-569.
WWW Link. 0804
Cognitive vision system; Situation analysis; Applied ontologies BibRef

Rowe, D.[Daniel], Gonzŕlez, J.[Jordi], Pedersoli, M., Villanueva, J.J.[Juan J.],
On tracking inside groups,
MVA(21), No. 2, February 2010, pp. xx-yy.
Springer DOI 1002
Detection feeds 2 level tracking. Track several through mergers and splits. BibRef

Rowe, D.[Daniel], Gonzalez, J.[Jordi], Huerta, I.[Ivan], Villanueva, J.J.[Juan J.],
On Reasoning over Tracking Events,
SCIA07(502-511).
Springer DOI 0706
See also Probabilistic Image-Based Tracking: Improving Particle Filtering. BibRef

Rius, I.[Ignasi], Rowe, D.[Daniel], Gonzŕlez, J.[Jordi], Roca, F.X.[F. Xavier],
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking,
IbPRIA05(I:529).
Springer DOI 0509
BibRef

Fernández, C.[Carles], Gonzŕlez, J.[Jordi], Roca, F.X.[F. Xavier],
Automatic Learning of Background Semantics in Generic Surveilled Scenes,
ECCV10(II: 678-692).
Springer DOI 1009
BibRef

Baiget, P.[Pau], Fernández, C.[Carles], Roca, F.X.[F. Xavier], Gonzŕlez, J.[Jordi],
Automatic Learning of Conceptual Knowledge in Image Sequences for Human Behavior Interpretation,
IbPRIA07(I: 507-514).
Springer DOI 0706
BibRef

Wang, X.G.[Xiao-Gang], Ma, X.X.[Xiao-Xu], Grimson, W.E.L.[W. Eric L.],
Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models,
PAMI(31), No. 3, March 2009, pp. 539-555.
IEEE DOI 0902
BibRef
Earlier:
Unsupervised Activity Perception by Hierarchical Bayesian Models,
CVPR07(1-8).
IEEE DOI 0706
Anomaly Detection. Unsupervised learning in crowded environments (stations, shopping malls, traffic). Atomic activities modeled as distibutions over low level features. Then distributions over atomic activities. Three Bayesian Mixture models: Latent Dirichlet Allocation, Hierarchical Dirichlet Processes and dual Hierarchical Dirchlet Processes. Discover and summarize atomic activities. Sebment long video into different interactions, segment motions into different activities. Detect abnormality. Support high-level queries. BibRef

Wang, X.G.[Xiao-Gang], Ma, K.T.[Keng Teck], Ng, G.W.[Gee-Wah], Grimson, W.E.L.[W. Eric L.],
Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models,
IJCV(95), No. 3, December 2011, pp. 287-312.
WWW Link. 1109
BibRef
Earlier:
Trajectory analysis and semantic region modeling using a nonparametric Bayesian model,
CVPR08(1-8).
IEEE DOI 0806
BibRef
And: CSAIL-2008-015, June 2008.
WWW Link. Dual Hierarchical Dirichlet Processes (Dual-HDP) Treat trajectories as documents and observation is word in the document. Cluster trajectories, abnormal ones have few other members of the cluster. See also Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models. BibRef

Wang, X.G.[Xiao-Gang], Tieu, K.[Kinh], Grimson, W.E.L.[W. Eric L.],
Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views,
PAMI(32), No. 1, January 2010, pp. 56-71.
IEEE DOI 0912
BibRef
Earlier:
Correspondence-free multi-camera activity analysis and scene modeling,
CVPR08(1-8).
IEEE DOI 0806
BibRef
And:
Learning Semantic Scene Models by Trajectory Analysis,
ECCV06(III: 110-123).
Springer DOI 0608
BibRef
And: CSAIL-2006-008, February 2006.
WWW Link. Segment using long-term trajectories. Multiple, synchronized, uncalibrated, stationary cameras. Motion patterns. Tracked independently. Group trajectories across views. Model paths in multiple views. Detect abnormal paths. BibRef

Brdiczka, O.[Oliver], Crowley, J.L.[James L.], Reignier, P.[Patrick],
Learning Situation Models in a Smart Home,
SMC-B(39), No. 1, February 2009, pp. 56-63.
IEEE DOI 0902
BibRef

Brdiczka, O.[Oliver], Yuen, P.C.[Pong C.], Zaidenberg, S.[Sofia], Reignier, P.[Patrick], Crowley, J.L.[James L.],
Automatic Acquisition of Context Models and its Application to Video Surveillance,
ICPR06(I: 1175-1178).
IEEE DOI 0609
BibRef

Veeraraghavan, A.[Ashok], Srinivasan, M.[Mandyam], Roy-Chowdhury, A.K.[Amit K.], Chellappa, R.[Rama],
Rate-Invariant Recognition of Humans and Their Activities,
IP(18), No. 6, June 2009, pp. 1326-1339.
IEEE DOI 0905
Model based approach to actions, capture variations due to rate of execution. BibRef

Patino, J.L.[Jose Luis], Benhadda, H., Corvee, E., Brémond, F.[Francois], Thonnat, M.[Monique],
Extraction of activity patterns on large video recordings,
IET-CV(2), No. 2, June 2008, pp. 108-128.
DOI Link 0905
BibRef

Pusiol, G.[Guido], Bremond, F.[Francois], Thonnat, M.[Monique],
Trajectory Based Activity Discovery,
AVSS10(270-277).
IEEE DOI 1009
BibRef
Earlier:
Trajectory based Primitive Events for learning and recognizing activity,
THEMIS09(1081-1088).
IEEE DOI 0910
BibRef

Thonnat, M.[Monique], Brémond, F.[Francois], Pusiol, G.[Guido], Patino, J.L.[Jose Luis],
Optimizing trajectories clustering for activity recognition,
MLMotion08(xx-yy). 0810
BibRef

Gui, L.[Laura], Thiran, J.P.[Jean-Philippe], Paragios, N.[Nikos],
Cooperative Object Segmentation and Behavior Inference in Image Sequences,
IJCV(84), No. 2, August 2009, pp. xx-yy.
Springer DOI 0906
BibRef
Earlier:
Joint Object Segmentation and Behavior Classification in Image Sequences,
CVPR07(1-8).
IEEE DOI 0706
BibRef
And:
A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences,
SSVM07(652-664).
Springer DOI 0705
BibRef

Saleemi, I.[Imran], Shafique, K.[Khurram], Shah, M.[Mubarak],
Probabilistic Modeling of Scene Dynamics for Applications in Visual Surveillance,
PAMI(31), No. 8, August 2009, pp. 1472-1485.
IEEE DOI 0906
Model and learn activity from static camera. Generate likely paths to improve object detection and tracking. BibRef

Veeraraghavan, H.[Harini], Papanikolopoulos, N.P.[Nikolaos P.],
Learning to Recognize Video-Based Spatiotemporal Events,
ITS(10), No. 4, December 2009, pp. 628-638.
IEEE DOI 0912
BibRef

Veeraraghavan, H.[Harini], Papanikolopoulos, N.P.[Nikolaos P.], Schrater, P.[Paul],
Learning Dynamic Event Descriptions in Image Sequences,
CVPR07(1-6).
IEEE DOI 0706
BibRef

Husz, Z.L.[Zsolt L.], Wallace, A.M.[Andrew M.], Green, P.R.[Patrick R.],
Behavioural Analysis with Movement Cluster Model for Concurrent Actions,
JIVP(2011), No. 2011, pp. xx-yy.
DOI Link 1101
BibRef
Earlier:
Human activity recognition with action primitives,
AVSBS07(330-335).
IEEE DOI 0709
See also Tracking With a Hierarchical Partitioned Particle Filter and Movement Modelling. BibRef

Faruquie, T.A.[Tanveer A.], Banerjee, S.[Subhashis], Kalra, P.K.[Prem K.],
Latent topic model-based group activity discovery,
VC(27), No. 12, December 2011, pp. 1071-1082.
WWW Link. 1112
BibRef
Earlier: A1, A3, A2:
Time based Activity Inference using Latent Dirichlet Allocation,
BMVC09(xx-yy).
PDF File. 0909
Optic flow vectors. Group activities. BibRef

Faruquie, T.A.[Tanveer A.], Banerjee, S.[Subhashis], Kalra, P.K.[Prem K.],
Unsupervised Discovery of Activities and Their Temporal Behaviour,
AVSS12(100-105).
IEEE DOI 1211
BibRef
Earlier:
Unsupervised discovery of activity correlations using latent topic models,
ICCVGIP10(25-32).
DOI Link 1111
BibRef

Choudhary, A.[Ayesha], Faruquie, T.A.[Tanveer A.], Banerjee, S.[Subhashis], Chaudhury, S.[Santanu],
Discovering Activities and Their Temporal Significance,
AVSS12(240-245).
IEEE DOI 1211
BibRef

Bandouch, J.[Jan], Jenkins, O.C.[Odest Chadwicke], Beetz, M.[Michael],
A Self-Training Approach for Visual Tracking and Recognition of Complex Human Activity Patterns,
IJCV(99), No. 2, September 2012, pp. 166-189.
WWW Link. 1205
Markerless human motion capture, Probabilistic state estimation, Self-trained models of human motion, Activity recognition BibRef

Zhang, Z.[Zhong], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhou, W.[Wen], Liu, S.[Shuang],
Action Recognition Using Context-Constrained Linear Coding,
SPLetters(19), No. 7, July 2012, pp. 439-442.
IEEE DOI 1206
BibRef
Earlier:
Human Action Recognition with Attribute Regularization,
AVSS12(112-117).
IEEE DOI 1211
BibRef

Zhang, Z.[Zhong], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhou, W.[Wen], Liu, S.[Shuang],
Cross-View Action Recognition Using Contextual Maximum Margin Clustering,
CirSysVideo(24), No. 10, October 2014, pp. 1663-1668.
IEEE DOI 1411
gesture recognition BibRef

Zhou, W.[Wen], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhang, Z.[Zhong], Shao, Y.X.[Yun-Xue],
Modeling Interactions between Low-Level and High-Level Features for Human Action Recognition,
IEICE(E96-D), No. 12, December 2013, pp. 2896-2899.
WWW Link. 1312
BibRef

Zhou, W.[Wen], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhang, Z.[Zhong],
Human action recognition using weighted pooling,
IET-CV(8), No. 6, 2014, pp. 579-587.
DOI Link 1502
gesture recognition BibRef

Zhang, Z.[Zhong], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhou, W.[Wen], Liu, S.[Shuang],
Contextual Fisher kernels for human action recognition,
ICPR12(437-440).
WWW Link. 1302
BibRef

Zhou, W.[Wen], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhang, Z.[Zhong], Ma, L.[Long],
Human action recognition by bagging data dependent representation,
ICPR12(3120-3123).
WWW Link. 1302
BibRef

Chen, X.[Xue], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Shao, Y.X.[Yun-Xue],
Point-Manifold Discriminant Analysis for Still-to-Video Face Recognition,
IEICE(E97-D), No. 10, October 2014, pp. 2780-2789.
WWW Link. 1411
BibRef

Chen, X.[Xue], Xiao, B.H.[Bai-Hua], Wang, C.H.[Chun-Heng], Cai, X.Y.[Xin-Yuan], Lv, Z.J.[Zhi-Jian], Shi, Y.Q.[Yan-Qin],
Modular hierarchical feature learning with deep neural networks for face verification,
ICIP13(3690-3694)
IEEE DOI 1402
deep neural networks; face verification; feature learning BibRef

Chen, X.[Xue], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Cai, X.Y.[Xin-Yuan],
Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition,
IEICE(E97-D), No. 12, December 2014, pp. 3239-3243.
WWW Link. 1503
BibRef
Earlier:
Learning associate appearance manifolds for cross-pose face recognition,
ICIP14(1907-1911)
IEEE DOI 1502
BibRef
Earlier:
Scenario oriented discriminant analysis for still-to-video face recognition,
ICIP14(738-742)
IEEE DOI 1502
Correlation. Accuracy BibRef

Chen, X.[Xue], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Cai, X.Y.[Xin-Yuan],
Cross-view face recognition via structured dictionary based domain shift,
IET-CV(9), No. 4, 2015, pp. 531-540.
DOI Link 1509
face recognition BibRef

Zhang, Z.[Zhong], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhou, W.[Wen], Liu, S.[Shuang], Shi, C.Z.[Cun-Zhao],
Cross-View Action Recognition via a Continuous Virtual Path,
CVPR13(2690-2697)
IEEE DOI 1309
BibRef

Zhou, W.[Wen], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua], Zhang, Z.[Zhong],
Action recognition via structured codebook construction,
SP:IC(29), No. 4, 2014, pp. 546-555.
Elsevier DOI 1404
Action recognition BibRef

Duan, L.X.[Li-Xin], Xu, D.[Dong], Tsang, I.W.H.[Ivor Wai-Hung], Luo, J.B.[Jie-Bo],
Visual Event Recognition in Videos by Learning from Web Data,
PAMI(34), No. 9, September 2012, pp. 1667-1680.
IEEE DOI 1208
BibRef
Earlier: CVPR10(1959-1966).
IEEE DOI Video of talk:
WWW Link. 1006
Award, CVPR, Student. BibRef

Chen, L.[Lin], Duan, L.X.[Li-Xin], Xu, D.[Dong],
Event Recognition in Videos by Learning from Heterogeneous Web Sources,
CVPR13(2666-2673)
IEEE DOI 1309
Domain Adaptation; Event Recognition BibRef

Wu, X.X.[Xin-Xiao], Xu, D.[Dong], Duan, L.X.[Li-Xin], Luo, J.B.[Jie-Bo],
Action recognition using context and appearance distribution features,
CVPR11(489-496).
IEEE DOI 1106
BibRef

Yi, S.[Sheng], Krim, H.[Hamid], Norris, L.K.[Larry K.],
Human Activity as a Manifold-Valued Random Process,
IP(21), No. 8, August 2012, pp. 3416-3428.
IEEE DOI 1208
BibRef
Earlier:
A invertible dimension reduction of curves on a manifold,
ITCVPR11(1378-1385).
IEEE DOI 1201
BibRef
And:
Human Activity Modeling as Brownian Motion on Shape Manifold,
SSVM11(628-639).
Springer DOI 1201
BibRef
Earlier:
Human Activity Modeling On Shape Manifold,
3DOR11(105-112)
DOI Link 1301
BibRef

Yi, S.[Sheng], Krim, H.[Hamid],
Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach,
IP(23), No. 11, November 2014, pp. 4907-4919.
IEEE DOI 1410
Equations BibRef

Bian, X.[Xiao], Krim, H.[Hamid],
Optimal Operator Space Pursuit: A Framework for Video Sequence Data Analysis,
ACCV12(II:760-769).
Springer DOI 1304
video based human activity classification BibRef

Castrodad, A.[Alexey], Sapiro, G.[Guillermo],
Sparse Modeling of Human Actions from Motion Imagery,
IJCV(100), No. 1, October 2012, pp. 1-15.
WWW Link. 1208
BibRef

Junejo, I.N.[Imran N.], Al Aghbari, Z.[Zaher],
Using SAX representation for human action recognition,
JVCIR(23), No. 6, August 2012, pp. 853-861.
Elsevier DOI 1208
Action recognition; Computer vision; Pattern recognition; Image understanding; SAX representation; Data mining; Intelligent systems; Video surveillance BibRef

Junejo, I.N.[Imran N.], Junejo, K.N.[Khurrum Nazir], Al Aghbari, Z.[Zaher],
Silhouette-based human action recognition using SAX-Shapes,
VC(30), No. 3, March 2014, pp. 259-269.
WWW Link. 1403
BibRef

San Miguel, J.C.[Juan C.], Martínez, J.M.[José M.],
A semantic-based probabilistic approach for real-time video event recognition,
CVIU(116), No. 9, September 2012, pp. 937-952.
Elsevier DOI 1208
Video event detection; Semantic video analysis; Bayes Network; Petri Net; Low-level uncertainty See also Rejection based multipath reconstruction for background estimation in video sequences with stationary objects. BibRef

San Miguel, J.C.[Juan C.], Martínez, J.M.[José M.],
A semantic-guided and self-configurable framework for video analysis,
MVA(24), No. 3, April 2013, pp. 493-512.
WWW Link. 1303
See also Standalone evaluation of deterministic video tracking. BibRef

San Miguel, J.C.[Juan Carlos], Martinez, J.M.[José M.], Garcia, Á.[Álvaro],
An Ontology for Event Detection and its Application in Surveillance Video,
AVSBS09(220-225).
IEEE DOI 0909
BibRef

Weinshall, D.[Daphna], Zweig, A.[Alon], Hermansky, H.[Hynek], Kombrink, S.[Stefan], Ohl, F.W.[Frank W.], Anemüller, J.[Jörn], Bach, J.H.[Jörg-Hendrik], Van Gool, L.J.[Luc J.], Nater, F.[Fabian], Pajdla, T.[Tomas], Havlena, M.[Michal], Pavel, M.[Misha],
Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree,
PAMI(34), No. 10, October 2012, pp. 1886-1901.
IEEE DOI 1208
Unexpected stimuli with machine learning. Label hierarchy. Find events that do not fit. BibRef

Noceti, N.[Nicoletta], Odone, F.[Francesca],
Learning common behaviors from large sets of unlabeled temporal series,
IVC(30), No. 11, November 2012, pp. 875-895.
Elsevier DOI 1211
BibRef
And:
Unsupervised Video Surveillance,
VS10(84-93).
Springer DOI 1109
Behavior analysis; Temporal series clustering; Anomaly detection; Unsupervised learning BibRef

Noceti, N.[Nicoletta], Caputo, B.[Barbara], Castellini, C.[Claudio], Baldassarre, L.[Luca], Barla, A.[Annalisa], Rosasco, L.[Lorenzo], Odone, F.[Francesca], Sandini, G.[Giulio],
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents,
CIAP09(239-248).
Springer DOI 0909
BibRef

Noceti, N.[Nicoletta], Santoro, M.[Matteo], Odone, F.[Francesca],
Unsupervised learning of behavioural patterns for video-surveillance,
MLMotion08(xx-yy). 0810
BibRef

Noceti, N.[Nicoletta], Balduzzi, L.[Luigi],
What Epipolar Geometry Can Do for Video-Surveillance,
CIAP13(I:442-451).
Springer DOI 1311
matching moving objects between multiple views BibRef

Fu, W.[Wei], Wang, J.Q.[Jin-Qiao], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
Dynamic scene understanding by improved sparse topical coding,
PR(46), No. 7, July 2013, pp. 1841-1850.
Elsevier DOI 1303
Motion patterns; Sparse topical coding; Scene understanding BibRef

Fu, W.[Wei], Wang, J.Q.[Jin-Qiao], Zhao, C.[Chaoyang], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
Object-centered narratives for video surveillance,
ICIP12(29-32).
IEEE DOI 1302
BibRef

Roggen, D.[Daniel], Töster, G.[Gerhard], Lukowicz, P., Ferscha, A., Millán, J.D.[José Del_R.], Chavarriaga, R.[Ricardo],
Opportunistic Human Activity and Context Recognition,
Computer(46), No. 2, February 2013, pp. 36-45.
IEEE DOI 1303
BibRef

Nayak, N.M.[Nandita M.], Zhu, Y.Y.[Ying-Ying], Roy-Chowdhury, A.K.[Amit K.],
Vector field analysis for multi-object behavior modeling,
IVC(31), No. 6-7, June-July 2013, pp. 460-472.
Elsevier DOI 1306
Optical flow; Helmholtz decomposition; Complex activity recognition BibRef

Nayak, N.M.[Nandita M.], Kamal, A.T.[Ahmed Tashrif], Roy-Chowdhury, A.K.[Amit K.],
Vector field analysis for motion pattern identification in video,
ICIP11(2089-2092).
IEEE DOI 1201
BibRef

Nayak, N.M.[Nandita M.], Roy-Chowdhury, A.K.[Amit K.],
Learning a sparse dictionary of video structure for activity modeling,
ICIP14(4892-4896)
IEEE DOI 1502
Computer vision BibRef

Nayak, N.M.[Nandita M.], Song, B.[Bi], Roy-Chowdhury, A.K.[Amit K.],
Dynamic modeling of streaklines for motion pattern analysis in video,
MLVMA11(39-46).
IEEE DOI 1106
Flow based model. Trajectories as streaks. BibRef

Zhu, Y.Y.[Ying-Ying], Nayak, N.M.[Nandita M.], Roy-Chowdhury, A.K.[Amit K.],
Context-Aware Activity Modeling Using Hierarchical Conditional Random Fields,
PAMI(37), No. 7, July 2015, pp. 1360-1372.
IEEE DOI 1506
BibRef
Earlier:
Context-Aware Modeling and Recognition of Activities in Video,
CVPR13(2491-2498)
IEEE DOI 1309
Context BibRef

Ohnishi, N.[Naoya], Imiya, A.[Atsushi],
Appearance-based navigation and homing for autonomous mobile robot,
IVC(31), No. 6-7, June-July 2013, pp. 511-532.
Elsevier DOI 1306
BibRef
Earlier:
Visual Navigation of Mobile Robot Using Optical Flow and Visual Potential Field,
RobVis08(412-426).
Springer DOI 0802
BibRef
Earlier:
Combination of supervised and unsupervised methods for navigation path mining,
MLMotion08(xx-yy). 0810
BibRef
Earlier:
Corridor Navigation and Obstacle Avoidance using Visual Potential for Mobile Robot,
CRV07(131-138).
IEEE DOI 0705
Visual navigation; Visual homing; Nonholonomic mobile robot; Visual potential; Optical flow; Dominant plane BibRef

Ohnishi, N.[Naoya], Imiya, A.[Atsushi],
Dominant plane detection from optical flow for robot navigation,
PRL(27), No. 9, July 2006, pp. 1009-1021.
WWW Link. 0605
Dominant plane detection; Affine transformation BibRef

Ohnishi, N.[Naoya], Imiya, A.[Atsushi],
Independent Component Analysis of Layer Optical Flow and Its Application,
BVAI07(171-180).
Springer DOI 0710
BibRef
And:
Model-Based Plane-Segmentation Using Optical Flow and Dominant Plane,
MIRAGE07(295-306).
Springer DOI 0703
BibRef

Imiya, A.[Atsushi], Yamada, D.[Daisuke],
Voting Method for Stable Range Optical Flow Computation,
PSIVT06(332-341).
Springer DOI 0612
BibRef

Trinh, V.C., Gonzalez, A.J.,
Discovering Contexts from Observed Human Performance,
HMS(43), No. 4, 2013, pp. 359-370.
IEEE DOI 1307
behavioural sciences computing BibRef

Zhen, X.T.[Xian-Tong], Shao, L.[Ling], Tao, D.C.[Da-Cheng], Li, X.L.[Xue-Long],
Embedding Motion and Structure Features for Action Recognition,
CirSysVideo(23), No. 7, 2013, pp. 1182-1190.
IEEE DOI 1307
Gabor filters See also Learning Discriminative Key Poses for Action Recognition. BibRef

Shao, L.[Ling], Jones, S., Li, X.L.[Xue-Long],
Efficient Search and Localization of Human Actions in Video Databases,
CirSysVideo(24), No. 3, March 2014, pp. 504-512.
IEEE DOI 1404
image motion analysis BibRef

Aztiria, A., Augusto, J.C., Basagoiti, R., Izaguirre, A., Cook, D.J.,
Learning Frequent Behaviors of the Users in Intelligent Environments,
SMCS(43), No. 6, 2013, pp. 1265-1278.
IEEE DOI 1311
Ambient intelligence BibRef

Ben Aoun, N.[Najib], Mejdoub, M.[Mahmoud], Ben Amar, C.[Chokri],
Graph-based approach for human action recognition using spatio-temporal features,
JVCIR(25), No. 2, 2014, pp. 329-338.
Elsevier DOI 1402
Human action recognition BibRef

Sekma, M.[Manel], Mejdoub, M.[Mahmoud], Ben Amar, C.[Chokri],
Human action recognition based on multi-layer Fisher vector encoding method,
PRL(65), No. 1, 2015, pp. 37-43.
Elsevier DOI 1511
BibRef
Earlier:
Human Action Recognition Using Temporal Segmentation and Accordion Representation,
CAIP13(II:563-570).
Springer DOI 1311
Human action recognition BibRef

Sekma, M.[Manel], Mejdoub, M.[Mahmoud], Ben Amar, C.[Chokri],
Bag of Graphs with Geometric Relationships Among Trajectories for Better Human Action Recognition,
CIAP15(I:85-96).
Springer DOI 1511
BibRef

Ben Aoun, N.[Najib], Elghazel, H.[Haytham], Hacid, M.S.[Mohand-Said], Ben Amar, C.[Chokri],
Graph Aggregation Based Image Modeling and Indexing for Video Annotation,
CAIP11(II: 324-331).
Springer DOI 1109
BibRef

Wali, A.[Ali], Ben Aoun, N.[Najib], Karray, H.[Hichem], Ben Amar, C.[Chokri], Alimi, A.M.[Adel M.],
A New System for Event Detection from Video Surveillance Sequences,
ACIVS10(II: 110-120).
Springer DOI 1012
BibRef

Wali, A., Alimi, A.M.,
Incremental Learning Approach for Events Detection from Large Video Dataset,
AVSS10(555-560).
IEEE DOI 1009
BibRef

Wang, L.M.[Li-Min], Qiao, Y.[Yu], Tang, X.[Xiaoou],
Latent Hierarchical Model of Temporal Structure for Complex Activity Classification,
IP(23), No. 2, February 2014, pp. 810-822.
IEEE DOI 1402
image classification BibRef

Burghouts, G.J., Schutte, K., Bouma, H., den Hollander, R.J.M.,
Selection of negative samples and two-stage combination of multiple features for action detection in thousands of videos,
MVA(25), No. 1, January 2014, pp. 85-98.
Springer DOI 1402
BibRef

Cuzzolin, F.[Fabio], Sapienza, M.[Michael],
Learning Pullback HMM Distances,
PAMI(36), No. 7, July 2014, pp. 1483-1489.
IEEE DOI 1407
Covariance matrices BibRef

Sapienza, M.[Michael], Cuzzolin, F.[Fabio], Torr, P.H.S.[Philip H.S.],
Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos,
IJCV(110), No. 1, October 2014, pp. 30-47.
Springer DOI
WWW Link. 1410
BibRef
Earlier:
Learning discriminative space-time actions from weakly labelled videos,
BMVC12(123).
DOI Link 1301
BibRef

Jetley, S.[Saumya], Cuzzolin, F.[Fabio],
3D Activity Recognition Using Motion History and Binary Shape Templates,
Gait14(I: 129-144).
Springer DOI 1504
BibRef

de Rosa, R.[Rocco], Cesa-Bianchi, N.[Nicolo], Gori, I.[Ilaria], Cuzzolin, F.[Fabio],
Online Action Recognition via Nonparametric Incremental Learning,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Li, K.[Kang], Fu, Y.[Yun],
Prediction of Human Activity by Discovering Temporal Sequence Patterns,
PAMI(36), No. 8, August 2014, pp. 1644-1657.
IEEE DOI 1407
Context BibRef

Li, K.[Kang], Hu, J.[Jie], Fu, Y.[Yun],
Modeling Complex Temporal Composition of Actionlets for Activity Prediction,
ECCV12(I: 286-299).
Springer DOI 1210
BibRef

Mazloom, M., Gavves, E., Snoek, C.G.M.[Cees G.M.],
Conceptlets: Selective Semantics for Classifying Video Events,
MultMed(16), No. 8, December 2014, pp. 2214-2228.
IEEE DOI 1502
feature extraction BibRef

Mazloom, M., Li, X., Snoek, C.G.M.[Cees G. M.],
TagBook: A Semantic Video Representation Without Supervision for Event Detection,
MultMed(18), No. 7, July 2016, pp. 1378-1388.
IEEE DOI 1608
image representation BibRef

Kooij, J.F.P.[Julian F.P.], Englebienne, G.[Gwenn], Gavrila, D.M.[Dariu M.],
Identifying multiple objects from their appearance in inaccurate detections,
CVIU(136), No. 1, 2015, pp. 103-116.
Elsevier DOI 1506
BibRef
Earlier:
A Non-parametric Hierarchical Model to Discover Behavior Dynamics from Tracks,
ECCV12(VI: 270-283).
Springer DOI 1210
Object recognition. Keep track of multiple objects in video. BibRef

Kooij, J.F.P.[Julian F.P.], Englebienne, G.[Gwenn], Gavrila, D.M.[Dariu M.],
Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks,
PAMI(38), No. 2, February 2016, pp. 322-334.
IEEE DOI 1601
Dynamics BibRef

Elloumi, S., Cosar, S., Pusiol, G., Bremond, F., Thonnat, M.,
Unsupervised discovery of human activities from long-time videos,
IET-CV(9), No. 4, 2015, pp. 522-530.
DOI Link 1509
feature extraction BibRef

Murthy, O.V.R.[O.V. Ramana], Goecke, R.[Roland],
Ordered trajectories for human action recognition with large number of classes,
IVC(42), No. 1, 2015, pp. 22-34.
Elsevier DOI 1509
Action recognition BibRef
Earlier:
The Influence of Temporal Information on Human Action Recognition with Large Number of Classes,
DICTA14(1-8)
IEEE DOI 1502
BibRef
Earlier:
Ordered Trajectories for Large Scale Human Action Recognition,
THUMOS13(412-419)
IEEE DOI 1403
object recognition. image representation See also Injury Mechanism Classification in Soccer Videos. BibRef

Fanaeepour, M.[Maryam], Kulik, L.[Lars], Tanin, E.[Egemen], Rubinstein, B.I.P.[Benjamin I.P.],
The CASE histogram: Privacy-aware processing of trajectory data using aggregates,
GeoInfo(19), No. 4, October 2015, pp. 747-798.
IEEE DOI 1511
Location based services, process the data, but hide identity. BibRef

Zhang, G.[Guopeng], Piccardi, M.,
Structural SVM with Partial Ranking for Activity Segmentation and Classification,
SPLetters(22), No. 12, December 2015, pp. 2344-2348.
IEEE DOI 1512
image classification BibRef

Wang, H.[Heng], Oneata, D.[Dan], Verbeek, J.[Jakob], Schmid, C.[Cordelia],
A Robust and Efficient Video Representation for Action Recognition,
IJCV(119), No. 3, September 2016, pp. 219-238.
Springer DOI 1608
BibRef
Earlier: A2, A3, A4, Only:
Efficient Action Localization with Approximately Normalized Fisher Vectors,
CVPR14(2545-2552)
IEEE DOI 1409
BibRef
Earlier: A2, A3, A4, Only:
Action and Event Recognition with Fisher Vectors on a Compact Feature Set,
ICCV13(1817-1824)
IEEE DOI 1403
Fisher vectors See also Segmentation Driven Object Detection with Fisher Vectors. BibRef

Rohrbach, M.[Marcus], Rohrbach, A.[Anna], Regneri, M.[Michaela], Amin, S.[Sikandar], Andriluka, M.[Mykhaylo], Pinkal, M.[Manfred], Schiele, B.[Bernt],
Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data,
IJCV(119), No. 3, September 2016, pp. 346-373.
Springer DOI 1608
BibRef
Earlier: A1, A3, A5, A4, A6, A7, Only:
Script Data for Attribute-Based Recognition of Composite Activities,
ECCV12(I: 144-157).
Springer DOI 1210
BibRef

Peng, X.J.[Xiao-Jiang], Wang, L.M.[Li-Min], Wang, X.X.[Xing-Xing], Qiao, Y.[Yu],
Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice,
CVIU(150), No. 1, 2016, pp. 109-125.
Elsevier DOI 1608
Action recognition BibRef

Peng, X.J.[Xiao-Jiang], Wang, L.M.[Li-Min], Cai, Z.W.[Zhuo-Wei], Qiao, Y.[Yu],
Action and Gesture Temporal Spotting with Super Vector Representation,
ChaLearn14(518-527).
Springer DOI 1504
BibRef

Peng, X.J.[Xiao-Jiang], Wang, L.M.[Li-Min], Qiao, Y.[Yu], Peng, Q.A.[Qi-Ang],
A Joint Evaluation of Dictionary Learning and Feature Encoding for Action Recognition,
ICPR14(2607-2612)
IEEE DOI 1412
BibRef
And:
Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,
ECCV14(III: 660-674).
Springer DOI 1408
Accuracy BibRef

Cai, Z.W.[Zhuo-Wei], Wang, L.M.[Li-Min], Peng, X.J.[Xiao-Jiang], Qiao, Y.[Yu],
Multi-view Super Vector for Action Recognition,
CVPR14(596-603)
IEEE DOI 1409
action recognition BibRef

Liu, J.Y.[Jing-Yu], Huang, Y.Z.[Yong-Zhen], Peng, X.J.[Xiao-Jiang], Wang, L.[Liang],
Multi-view descriptor mining via codeword net for action recognition,
ICIP15(793-797)
IEEE DOI 1512
BoVW; action recognition; codeword net; multi-view descriptor mining BibRef

Zhen, X.T.[Xian-Tong], Shao, L.[Ling], Maybank, S.J.[Stephen J.], Chellappa, R.[Rama],
Handcrafted vs. learned representations for human action recognition,
IVC(55, Part 2), No. 1, 2016, pp. 39-41.
Elsevier DOI 1612
BibRef

Zhu, F.[Fan], Shao, L.[Ling], Xie, J.[Jin], Fang, Y.[Yi],
From handcrafted to learned representations for human action recognition: A survey,
IVC(55, Part 2), No. 1, 2016, pp. 42-52.
Elsevier DOI 1612
Human action recognition BibRef

Li, S.[Shuohao], Zhang, J.[Jun], Guo, Q.A.[Qi-Ang], Lei, J.[Jun], Tu, D.[Dan],
Generating image descriptions with multidirectional 2D long short-term memory,
IET-CV(11), No. 1, February 2017, pp. 104-111.
DOI Link 1703
BibRef
Earlier:
Generating video description with Long-Short Term Memory,
ICIVC16(73-78)
IEEE DOI 1610
computer vision BibRef

Lei, J.[Jun], Li, G., Li, S.[Shuohao], Tu, D.[Dan], Guo, Q.A.[Qi-Ang],
Continuous action recognition based on hybrid CNN-LDCRF model,
ICIVC16(63-69)
IEEE DOI 1610
feature selection BibRef

Li, W.X.[Wei-Xin], Vasconcelos, N.M.[Nuno M.],
Complex Activity Recognition Via Attribute Dynamics,
IJCV(122), No. 2, April 2017, pp. 334-370.
Springer DOI 1704
BibRef

Li, W.X.[Wei-Xin], Yu, Q.[Qian], Divakaran, A.[Ajay], Vasconcelos, N.M.[Nuno M.],
Dynamic Pooling for Complex Event Recognition,
ICCV13(2728-2735)
IEEE DOI 1403
activity recognition; complex event; pooling; video analysis BibRef

Li, W.X.[Wei-Xin], Yu, Q.[Qian], Sawhney, H.[Harpreet], Vasconcelos, N.M.[Nuno M.],
Recognizing Activities via Bag of Words for Attribute Dynamics,
CVPR13(2587-2594)
IEEE DOI 1309
activity recognition; attribute; bag-of-words; dynamics BibRef

Li, Q.[Qing], Qiu, Z.F.[Zhao-Fan], Yao, T.[Ting], Mei, T.[Tao], Rui, Y.[Yong], Luo, J.B.[Jie-Bo],
Learning hierarchical video representation for action recognition,
MultInfoRetr(6), No. 1, March 2017, pp. 85-98.
Springer DOI 1704
BibRef

Wang, P.C.[Pi-Chao], Li, W.Q.[Wan-Qing], Gao, Z.M.[Zhi-Min], Zhang, J.[Jing], Tang, C.[Chang], Ogunbona, P.O.[Philip O.],
Action Recognition From Depth Maps Using Deep Convolutional Neural Networks,
HMS(46), No. 4, August 2016, pp. 498-509.
IEEE DOI 1608
data mining BibRef

Wang, P.C.[Pi-Chao], Li, W.Q.[Wan-Qing], Liu, S.[Song], Gao, Z.M.[Zhi-Min], Tang, C.[Chang], Ogunbona, P.[Philip],
Large-scale Isolated Gesture Recognition using Convolutional Neural Networks,
ICPR16(7-12)
IEEE DOI 1705
Convolution, Dynamics, Feature extraction, Gesture recognition, Neural networks, Testing, Training, Convolutional Neural Networks, depth map sequences, gesture, recognition BibRef

Wang, P.C.[Pi-Chao], Li, W.Q.[Wan-Qing], Liu, S.[Song], Zhang, Y.Y.[Yu-Yao], Gao, Z.M.[Zhi-Min], Ogunbona, P.[Philip],
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks,
ICPR16(13-18)
IEEE DOI 1705
Feature extraction, Gesture recognition, Image segmentation, Motion segmentation, Neural networks, Training, Transforms, convolutional neural network, depth map sequence, depth motion map, gesture, recognition BibRef

Li, C.K.[Chuan-Kun], Hou, Y.H.[Yong-Hong], Wang, P.C.[Pi-Chao], Li, W.Q.[Wan-Qing],
Joint Distance Maps Based Action Recognition With Convolutional Neural Networks,
SPLetters(24), No. 5, May 2017, pp. 624-628.
IEEE DOI 1704
image colour analysis BibRef

Gilbert, A.[Andrew], Bowden, R.[Richard],
Image and video mining through online learning,
CVIU(158), No. 1, 2017, pp. 72-84.
Elsevier DOI 1704
BibRef
Earlier:
iGroup: Weakly supervised image and video grouping,
ICCV11(2166-2173).
IEEE DOI 1201
BibRef
And:
Push and Pull: Iterative grouping of media,
BMVC11(xx-yy).
HTML Version. 1110
Action recognition. sub activities withing the scene. BibRef

Liu, L.[Li], Wang, S.[Shu], Su, G.[Guoxin], Huang, Z.G.[Zi-Gang], Liu, M.[Ming],
Towards complex activity recognition using a Bayesian network-based probabilistic generative framework,
PR(68), No. 1, 2017, pp. 295-309.
Elsevier DOI 1704
Activity recognition BibRef


Kato, T.[Tomoya], Itoh, H.[Hayato], Imiya, A.[Atsushi],
Motion Language of Stereo Image Sequence,
CVVT17(1211-1218)
IEEE DOI 1709
Computer vision, Histograms, Image sequences, Integrated optics. Represent temporal changes around autonomous robot. BibRef

Kim, Y.J.[Yong-Joong], Kim, Y.[Yong_Hyun], Ahn, J.[Ju_Hyun], Kim, D.[Dai_Jin],
Integrating hidden Markov models based on Mixture-of-Templates and k-NN2 ensemble for activity recognition,
ICPR16(1636-1641)
IEEE DOI 1705
Accelerometers, Activity recognition, Feature extraction, Gyroscopes, Hidden Markov models, Training BibRef

Gonzales, C.[Christophe], Romdhane, R.[Rim], Dubuisson, S.[Séverine],
Video Event Detection Based Non-stationary Bayesian Networks,
ACIVS16(419-430).
Springer DOI 1611
BibRef

Xu, K., Qin, Z., Wang, G.,
Human activities prediction by learning combinatorial sparse representations,
ICIP16(724-728)
IEEE DOI 1610
Dictionaries BibRef

Kular, D.[Dalwinder], Ribeiro, E.[Eraldo],
Analyzing Activities in Videos Using Latent Dirichlet Allocation and Granger Causality,
ISVC15(I: 647-656).
Springer DOI 1601
BibRef

Xu, W.[Wanru], Miao, Z.J.[Zhen-Jiang], Zhang, X.P.[Xiao-Ping],
Structured feature-graph model for human activity recognition,
ICIP15(1245-1249)
IEEE DOI 1512
Activity recognition BibRef

Yang, S.[Shuang], Yuan, C.F.[Chun-Feng], Wu, B.X.[Bao-Xin], Hu, W.M.[Wei-Ming], Wang, F.[Fangshi],
Multi-feature max-margin hierarchical Bayesian model for action recognition,
CVPR15(1610-1618)
IEEE DOI 1510
BibRef

Seib, V.[Viktor], Wojke, N.[Nicolai], Knauf, M.[Malte], Paulus, D.[Dietrich],
Detecting Fine-Grained Affordances with an Anthropomorphic Agent Model,
Affordance14(413-419).
Springer DOI 1504
BibRef

Phan, S.[Sang], Le, D.D.[Duy-Dinh], Satoh, S.[Shin'ichi],
Sum-max video pooling for complex event recognition,
ICIP14(1026-1030)
IEEE DOI 1502
Aggregates BibRef

Taralova, E.H.[Ekaterina H.], de la Torre, F.[Fernando], Hebert, M.[Martial],
Motion Words for Videos,
ECCV14(I: 725-740).
Springer DOI 1408
activity recognition in videos. Features over voxels. BibRef

Wang, L.[Ling], Sahbi, H.[Hichem],
Nonlinear Cross-View Sample Enrichment for Action Recognition,
TASKCV14(47-62).
Springer DOI 1504
BibRef
Earlier:
Directed Acyclic Graph Kernels for Action Recognition,
ICCV13(3168-3175)
IEEE DOI 1403
BibRef

Ma, S.[Shugao], Zhang, J.M.[Jian-Ming], Ikizler-Cinbis, N.[Nazli], Sclaroff, S.[Stan],
Action Recognition and Localization by Hierarchical Space-Time Segments,
ICCV13(2744-2751)
IEEE DOI 1403
action localization; action recognition; space-time representation BibRef

Guadarrama, S.[Sergio], Krishnamoorthy, N.[Niveda], Malkarnenkar, G.[Girish], Venugopalan, S.[Subhashini], Mooney, R.[Raymond], Darrell, T.J.[Trevor J.], Saenko, K.[Kate],
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition,
ICCV13(2712-2719)
IEEE DOI 1403
Describing Activities in videos BibRef

Bettadapura, V.[Vinay], Schindler, G.[Grant], Ploetz, T.[Thomas], Essa, I.A.[Irfan A.],
Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition,
CVPR13(2619-2626)
IEEE DOI 1309
Activity Recognition BibRef

Wang, Z.H.[Zhen-Hua], Shi, Q.F.[Qin-Feng], Shen, C.H.[Chun-Hua], van den Hengel, A.J.[Anton J.],
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs,
CVPR13(1690-1697)
IEEE DOI 1309
BibRef

Cao, Y.[Yu], Barrett, D.P.[Daniel P.], Barbu, A.[Andrei], Narayanaswamy, S.[Siddharth], Yu, H.N.[Hao-Nan], Michaux, A.[Aaron], Lin, Y.W.[Yue-Wei], Dickinson, S.J.[Sven J.], Siskind, J.M.[Jeffrey Mark], Wang, S.[Song],
Recognize Human Activities from Partially Observed Videos,
CVPR13(2658-2665)
IEEE DOI 1309
BibRef

Jin, Y.[Yohan], Prabhakaran, B.[Balakrishnan],
Content Based 3D Human Document Retrieval Using Latent Semantic Mapping,
HAU3D13(550-557)
IEEE DOI 1309
3D human motion; human motion document; latent semantic indexing Textual representation of human motion for use in retrieval. BibRef

Can, E.F.[Ethem F.], Manmatha, R.,
Formulating Action Recognition as a Ranking Problem,
ActionSim13(251-256)
IEEE DOI 1309
ASLAN;Action recognition; HMDB; ranking;svm-rank;video retrieval BibRef

Chikhaoui, B.[Belkacem], Wang, S.R.[Sheng-Rui], Pigot, H.[Helene],
A new statistical model for activity discovery and recognition in pervasive environments,
ICPR12(3435-3438).
WWW Link. 1302
BibRef

Broilo, M.[Mattia], Boato, G.[Giulia], de Natale, F.G.B.[Francesco G.B.],
Content-based synchronization for multiple photos galleries,
ICIP12(1945-1948).
IEEE DOI 1302
BibRef

Dao, M.S.[Minh-Son], Boato, G.[Giulia], DeNatale, F.G.B.[Francesco G.B.],
Discovering inherent event taxonomies from social media collections,
ICMR12(48).
DOI Link 1301
Large collections. BibRef

Tu, P.[Peter], Sebastian, T.[Thomas], Gao, D.[Dashan],
Action Recognition from Experience,
AVSS12(124-129).
IEEE DOI 1211
BibRef

Zhang, Y.M.[Yi-Meng], Liu, X.M.[Xiao-Ming], Chang, M.C.[Ming-Ching], Ge, W.[Weina], Chen, T.H.[Tsu-Han],
Spatio-Temporal Phrases for Activity Recognition,
ECCV12(III: 707-721).
Springer DOI 1210
BibRef

Kitani, K.M.[Kris M.], Ziebart, B.D.[Brian D.], Bagnell, J.A.[James Andrew], Hebert, M.[Martial],
Activity Forecasting,
ECCV12(IV: 201-214).
Springer DOI 1210
BibRef

Feuerhake, U.,
Prediction of Individual's Movement Based On Interesting Places,
AnnalsPRS(I-2), No. 2012, pp. 31-36.
HTML Version. 1209
BibRef

Varadarajan, J.[Jagannadan], Emonet, R.[Remi], Odobez, J.M.[Jean-Marc],
Bridging the past, present and future: Modeling scene activities from event relationships and global rules,
CVPR12(2096-2103).
IEEE DOI 1208
BibRef

Song, Y.[Yale], Morency, L.P.[Louis-Philippe], Davis, R.[Randall],
Action Recognition by Hierarchical Sequence Summarization,
CVPR13(3562-3569)
IEEE DOI 1309
BibRef
Earlier:
Multi-view latent variable discriminative models for action recognition,
CVPR12(2120-2127).
IEEE DOI 1208
Action Recognition; Conditional Random Fields; Hierarchical Model BibRef

Tang, K.[Kevin], Fei-Fei, L.[Li], Koller, D.[Daphne],
Learning latent temporal structure for complex event detection,
CVPR12(1250-1257).
IEEE DOI 1208
BibRef

Sadanand, S.[Sreemanananth], Corso, J.J.[Jason J.],
Action bank: A high-level representation of activity in video,
CVPR12(1234-1241).
IEEE DOI 1208
BibRef

Hughes, M.C.[Michael C.], Sudderth, E.B.[Erik B.],
Nonparametric discovery of activity patterns from video collections,
POCV12(25-32).
IEEE DOI 1207
BibRef

Kumar, B.G.V.[B. G. Vijay], Patras, I.[Ioannis],
Supervised dictionary learning for action localization,
FG13(1-8)
IEEE DOI 1309
BibRef
Earlier:
Learning codebook weights for action detection,
LSVSM12(27-32).
IEEE DOI 1207
Hough transforms BibRef

Sochman, J.[Jan], Hogg, D.C.[David C.],
Who knows who: Inverting the Social Force Model for finding groups,
SISM11(830-837).
IEEE DOI 1201
Automatically determine from motion trajectories. BibRef

Ogawara, K.[Koichi], Tanabe, Y.[Yasufumi], Kurazume, R.[Ryo], Hasegawa, T.[Tsutomu],
Detecting Frequent Patterns in Video Using Partly Locality Sensitive Hashing,
VECTaR10(287-296).
Springer DOI 1109
BibRef

Zen, G.[Gloria], Ricci, E.[Elisa], Messelodi, S.[Stefano], Sebe, N.[Nicu],
Sorting Atomic Activities for Discovering Spatio-temporal Patterns in Dynamic Scenes,
CIAP11(I: 207-216).
Springer DOI 1109
BibRef

Zen, G.[Gloria], Ricci, E.[Elisa],
Earth mover's prototypes: A convex learning approach for discovering activity patterns in dynamic scenes,
CVPR11(3225-3232).
IEEE DOI 1106
Automatically discover spatio-temporal patterns in complex dynamic scenes. BibRef

Chen, C.C.[Chia-Chih], Aggarwal, J.K.,
Modeling human activities as speech,
CVPR11(3425-3432).
IEEE DOI 1106
BibRef

Kulkarni, K.[Kaustubh], Boyer, E.[Edmond], Horaud, R.[Radu], Kale, A.[Amit],
An Unsupervised Framework for Action Recognition Using Actemes,
ACCV10(IV: 592-605).
Springer DOI 1011
BibRef

Daldoss, M., Piotto, N., Conci, N., de Natale, F.G.B.,
Learning and matching human activities using regular expressions,
ICIP10(4681-4684).
IEEE DOI 1009
BibRef

Ukita, N.[Norimichi], Kotera, A.[Akihito], Kidode, M.[Masatsugu],
Behavior Recognition with HMM and Feature Analysis using a Wide-view Camera and a PTZ camera,
MVA09(235-).
PDF File. 0905
BibRef

Sankaranarayanan, K.[Karthik], Davis, J.W.[James W.],
Object association across PTZ cameras using logistic MIL,
CVPR11(3433-3440).
IEEE DOI 1106
Multiple Instance Learning. BibRef

Sankaranarayanan, K.[Karthik], Davis, J.W.[James W.],
One-Class Multiple Instance Learning and Applications to Target Tracking,
ACCV12(III:126-139).
Springer DOI 1304
BibRef
Earlier:
Attention-Based Target Localization Using Multiple Instance Learning,
ISVC10(I: 381-392).
Springer DOI 1011
BibRef
And:
Learning Directed Intention-driven Activities using Co-Clustering,
AVSS10(400-407).
IEEE DOI 1009
BibRef

Patino, L.[Luis], Ferryman, J.M.[James M.], Beleznai, C.,
Abnormal behaviour detection on queue analysis from stereo cameras,
AVSS15(1-6)
IEEE DOI 1511
behavioural sciences computing BibRef

Patino, L.[Luis], Ferryman, J.M.[James M.],
Meeting detection in video through semantic analysis,
AVSS15(1-6)
IEEE DOI 1511
BibRef
Earlier:
Multicamera trajectory analysis for semantic behaviour characterisation,
AVSS14(369-374)
IEEE DOI 1411
Cameras image motion analysis. BibRef

Patino, L.[Luis], Evans, M.[Murray], Ferryman, J.M.[James M.], Bremond, F.[François], Thonnat, M.[Monique],
Unsupervised Activity Extraction on Long-Term Video Recordings Employing Soft Computing Relations,
CVS11(91-100).
Springer DOI 1109
BibRef

Pusiol, G.[Guido], Bremond, F.[Francois], Thonnat, M.[Monique],
Unsupervised Discovery, Modeling, and Analysis of Long Term Activities,
CVS11(101-111).
Springer DOI 1109
BibRef

Patino, L.[Luis], Bremond, F.[Francois], Thonnat, M.[Monique],
Online Learning of Activities from Video,
AVSS12(234-239).
IEEE DOI 1211
BibRef

Patino, L.[Luis], Bremond, F.[François], Evans, M.[Murray], Shahrokni, A., Ferryman, J.M.[James M.],
Video Activity Extraction and Reporting with Incremental Unsupervised Learning,
AVSS10(511-518).
IEEE DOI 1009
BibRef

Zhao, L.[Liyue], Wang, X.[Xi], Sukthankar, G.[Gita], Sukthankar, R.[Rahul],
Motif Discovery and Feature Selection for CRF-based Activity Recognition,
ICPR10(3826-3829).
IEEE DOI 1008
BibRef

Venkatesha, S.[Sharath], Turk, M.A.[Matthew A.],
Human Activity Recognition Using Local Shape Descriptors,
ICPR10(3704-3707).
IEEE DOI 1008
BibRef

Nater, F.[Fabian], Grabner, H.[Helmut], Van Gool, L.J.[Luc J.],
Temporal Relations in Videos for Unsupervised Activity Analysis,
BMVC11(xx-yy).
HTML Version. 1110
BibRef
Earlier:
Exploiting simple hierarchies for unsupervised human behavior analysis,
CVPR10(2014-2021).
IEEE DOI 1006
BibRef

Kuettel, D.[Daniel], Breitenstein, M.D.[Michael D.], Van Gool, L.J.[Luc J.], Ferrari, V.[Vittorio],
What's going on? Discovering spatio-temporal dependencies in dynamic scenes,
CVPR10(1951-1958).
IEEE DOI Video of talk:
WWW Link. 1006
BibRef

Wang, P.[Ping], Abowd, G.D.[Gregory D.], Rehg, J.M.[James M.],
Quasi-periodic Event Analysis for Social Game Retrieval,
ICCV09(112-119).
IEEE DOI 0909
BibRef

Scovanner, P.[Paul], Tappen, M.F.[Marshall F.],
Learning pedestrian dynamics from the real world,
ICCV09(381-388).
IEEE DOI 0909
BibRef

Yi, S.[Sheng], Krim, H.[Hamid],
Capturing human activity by a curve,
ICIP09(3561-3564).
IEEE DOI 0911
BibRef

Vargas-Govea, B.[Blanca], Morales, E.F.[Eduardo F.],
Learning Relational Grammars from Sequences of Actions,
CIARP09(892-900).
Springer DOI 0911
BibRef

Zhu, P.F.[Peng-Fei], Hu, W.M.[Wei-Ming], Li, L.[Li], Wei, Q.D.[Qing-Di],
Human Activity Recognition Based on R Transform and Fourier Mellin Transform,
ISVC09(II: 631-640).
Springer DOI 0911
BibRef

Zúńiga, M.[Marcos], Brémond, F.[François], Thonnat, M.[Monique],
Incremental Video Event Learning,
CVS09(403-414).
Springer DOI 0910
BibRef

Gomez-Romero, J.[Juan], Patricio, M.A.[Miguel A.], Garcia, J.[Jesús], Molina, J.M.[José M.],
Context-Based Reasoning Using Ontologies to Adapt Visual Tracking in Surveillance,
AVSBS09(226-231).
IEEE DOI 0909
BibRef

Zhang, T.Z.[Tian-Zhu], Lu, H.Q.[Han-Qing], Li, S.Z.[Stan Z.],
Learning semantic scene models by object classification and trajectory clustering,
CVPR09(1940-1947).
IEEE DOI 0906
Learning activity models. BibRef

Joshi, D.[Dhiraj], Luo, J.B.[Jie-Bo],
Inferring generic activities and events from image content and bags of geo-tags,
CIVR08(37-46). 0807
BibRef

de la Torre-Frade, F.[Fernando], Hodgins, J.K.[Jessica K.], Bargteil, A.W.[Adam W.], Artal, X.M.[Xavier Martin], Macey, J.C.[Justin C.], Collado I Castells, A.[Alexandre], and Beltran, J.[Josep],
Guide to the Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database,
CMU-RI-TR-08-22, April, 2008.
WWW Link. Dataset, Activity Recognition. BibRef 0804

Lau, M.[Manfred], Bar-Joseph, Z.[Ziv], Kuffner, J.[James],
Modeling Variation in Motion Data,
CMU-CS-08-118, April 2008.
HTML Version. BibRef 0804

Vail, D.L.[Douglas L.],
Conditional Random Fields for Activity Recognition,
CMU-CS-08-119, April 2008. BibRef 0804 Ph.D.Thesis, April 2008.
HTML Version. BibRef

Resendiz, E.[Esther], Ahuja, N.[Narendra],
A unified model for activity recognition from video sequences,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Gupta, S.I.K.[Sun-Il Kumar], Kumar, Y.S.[Y. Senthil], Ramakrishnan, K.R.,
Learning Feature Trajectories Using Gabor Filter Bank for Human Activity Segmentation and Recognition,
ICCVGIP08(111-118).
IEEE DOI 0812
BibRef

Azough, A.[Ahmed], Delteil, A.[Alexandre], de Marchi, F.[Fabien], Hacid, M.S.[Mohand Said],
Intuitive event modeling for personalized behavior monitoring,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Nater, F.[Fabian], Tommasi, T.[Tatiana], Grabner, H.[Helmut], Van Gool, L.J.[Luc J.], Caputo, B.[Barbara],
Transferring activities: Updating human behavior analysis,
VS11(1737-1744).
IEEE DOI 1201
BibRef

Bader, B.W.[Brett W.], Puretskiy, A.A.[Andrey A.], Berry, M.W.[Michael W.],
Scenario Discovery Using Nonnegative Tensor Factorization,
CIARP08(791-805).
Springer DOI 0809
BibRef

Farhadi, A.[Ali], Tabrizi, M.K.[Mostafa Kamali],
Learning to Recognize Activities from the Wrong View Point,
ECCV08(I: 154-166).
Springer DOI 0810
BibRef

Tran, D.[Du], Sorokin, A.[Alexander],
Human Activity Recognition with Metric Learning,
ECCV08(I: 548-561).
Springer DOI 0810
BibRef

Wang, X.Z.[Xiao-Zhe], Wang, L.[Liang], Wirth, A.[Anthony],
Pattern discovery in motion time series via structure-based spectral clustering,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Baak, A.[Andreas], Rosenhahn, B.[Bodo], Müller, M.[Meinard], Seidel, H.P.[Hans-Peter],
Stabilizing Motion Tracking Using Retrieved Motion Priors,
ICCV09(1428-1435).
IEEE DOI
PDF File. 0909
BibRef

Müller, M.[Meinard], Demuth, B.[Bastian], Rosenhahn, B.[Bodo],
An Evolutionary Approach for Learning Motion Class Patterns,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Li, H.P.[He-Ping], Hu, Z.Y.[Zhan-Yi], Wu, Y.H.[Yi-Hong], Wu, F.C.[Fu-Chao],
MAPACo-Training: A Novel Online Learning Algorithm of Behavior Models,
ACCV07(I: 472-481).
Springer DOI 0711
BibRef

Wong, S.F.[Shu-Fai], Cipolla, R.[Roberto],
Extracting Spatiotemporal Interest Points using Global Information,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Wong, S.F.[Shu-Fai], Kim, T.K.[Tae-Kyun], Cipolla, R.[Roberto],
Learning Motion Categories using both Semantic and Structural Information,
CVPR07(1-6).
IEEE DOI 0706
Human actions, expressions, gestures. BibRef

Meessen, J.[Jerome], Desurmont, X.[Xavier], Delaigle, J.F.[Jean-Francois], de Vleeschouwer, C.[Christophe], Macq, B.[Benoit],
Progressive Learning for Interactive Surveillance Scenes Retrieval,
VS07(1-8).
IEEE DOI 0706
See also Remote Interactive Browsing of Video Surveillance Content Based on JPEG 2000. BibRef

Zhang, Z.[Zhang], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu], Wang, L.S.[Liang-Sheng],
Trajectory Series Analysis based Event Rule Induction for Visual Surveillance,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Lee, J.Y.[Jae Young], Hoff, W.[William],
Activity Identification Utilizing Data Mining Techniques,
Motion07(12-12).
IEEE DOI 0702
BibRef

Naftel, A., Anwar, F.B.[Fahad Bin],
Visual Recognition of Manual Tasks Using Object Motion Trajectories,
AVSBS06(69-69).
IEEE DOI 0611
BibRef

Khalid, S.[Shehzad], Naftel, A.[Andrew],
Classifying spatiotemporal object trajectories using unsupervised learning of basis function coefficients,
VSSN05(45-52).
WWW Link. 0511
BibRef

Wang, H.B.[Hong-Bin], Miller, P., Culverhouse, P.F.,
Discovering the Local Co-occurring Patterns in Visual Categorization,
AVSBS06(6-6).
IEEE DOI 0611
BibRef

Bauer, D.[Dietmar], Brandle, N.[Norbert], Seer, S.[Stefan], Pflugfelder, R.[Roman],
Finding Highly Frequented Paths in Video Sequences,
ICPR06(I: 387-391).
IEEE DOI 0609
BibRef

Guha, P.[Prithwijit], Mukerjee, A.[Amitabha],
Unsupervised Language Learning for Discovered Visual Concepts,
ACCV12(IV:524-537).
Springer DOI 1304
BibRef

Guha, P.[Prithwijit], Mukerjee, A.[Amitabha], Venkatesh, K.S.,
Spatio-temporal Discovery: Appearance + Behavior = Agent,
ICCVGIP06(516-527).
Springer DOI 0612
BibRef

Guha, P.[Prithwijit], Mukerjee, A.[Amitabha], Venkatesh, K.S.,
Activity Discovery Using Compressed Suffix Trees,
CIAP11(II: 69-78).
Springer DOI 1109
BibRef

Guha, P.[Prithwijit], Mukerjee, A.[Amitabha], Venkatesh, K.S., Mitra, P.[Pabitra],
Activity Discovery from Surveillance Videos,
ICPR06(I: 433-436).
IEEE DOI 0609
BibRef

Ogata, T.[Takehito], Christmas, W.J.[William J.], Kittler, J.V.[Josef V.], Ishikawa, S.[Seiji],
Improving human activity detection by combining multi-dimensional motion descriptors with boosting,
ICPR06(I: 295-298).
IEEE DOI 0609
BibRef

Lublinerman, R.[Roberto], Ozay, N.[Necmiye], Zarpalas, D.[Dimitrios], Camps, O.I.[Octavia I.],
Activity Recognition from Silhouettes using Linear Systems and Model (In)validation Techniques,
ICPR06(I: 347-350).
IEEE DOI 0609
BibRef

Bremond, F.[Francois],
Scene Understanding and Activity Recognition,
VS08(xx-yy). 0810
BibRef

Toshev, A.[Alexander], Bremond, F.[Francois], Thonnat, M.[Monique],
An APRIORI-based Method for Frequent Composite Event Discovery in Videos,
CVS06(10).
IEEE DOI 0602
BibRef

Moënne-Loccoz, N.[Nicolas], Brémond, F.[François], Thonnat, M.[Monique],
Recurrent Bayesian Network for the Recognition of Human Behaviors from Video,
CVS03(68 ff).
Springer DOI 0306
BibRef

Vu, V.T.[Van-Thinh], Brémond, F.[François], Thonnat, M.[Monique],
Automatic Video Interpretation: A Recognition Algorithm for Temporal Scenarios Based on Pre-compiled Scenario Models,
CVS03(523 ff).
Springer DOI 0306
BibRef
And:
Automatic Video Interpretation: A Novel Algorithm for Temporal Scenario Recognition,
IJCAI03(xx-yy). Joint Conference on Artificial Intelligence, Acapulco, Mexico, 9-15 August 2003 BibRef
Earlier:
Human Behaviour Visualisation and Simulation for Automatic Video Understanding,
WSCG02(485).
HTML Version. 0209
Specify the characters involved in a scenario, the sub-scenarios and the constraints combining the sub-scenarios. BibRef

Zhang, Z.[Zhang], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Comparison of Similarity Measures for Trajectory Clustering in Outdoor Surveillance Scenes,
ICPR06(III: 1135-1138).
IEEE DOI 0609
BibRef

Zhang, Z.[Zhang], Tan, T.N.[Tie-Niu], Huang, K.Q.[Kai-Qi],
An Extended Grammar System for Learning and Recognizing Complex Visual Events,
PAMI(33), No. 2, February 2011, pp. 240-255.
IEEE DOI 1101
BibRef
Earlier: A1, A3, A2:
Complex Activity Representation and Recognition by Extended Stochastic Grammar,
ACCV06(I:150-159).
Springer DOI 0601
BibRef
Earlier: A1, A3, A2:
Multi-thread Parsing for Recognizing Complex Events in Videos,
ECCV08(III: 738-751).
Springer DOI 0810
Extended grammar for complex parallel events. See also Practical Camera Calibration From Moving Objects for Traffic Scene Surveillance. BibRef

Xin, L.[Lun], Tan, T.N.[Tie-Niu],
Semi-supervised Learning on Semantic Manifold for Event Analysis in Dynamic Scenes,
VS07(1-8).
IEEE DOI 0706
BibRef

Xin, L.[Lun], Tan, T.N.[Tie-Niu],
From Motion Patterns to Visual Concepts for Event Analysis in Dynamic Scenes,
ACCV06(I:826-835).
Springer DOI 0601
BibRef
Earlier:
Ontology-based hierarchical conceptual model for semantic representation of events in dynamic scenes,
PETS05(57-64).
IEEE DOI 0602
BibRef

Shimoide, A.[Alan], Yoon, I.[Ilmi], Fuse, M.[Megumi], Beale, H.C.[Holly C.], Singh, R.[Rahul],
Automated Behavioral Phenotype Detection and Analysis Using Color-Based Motion Tracking,
CRV05(370-377).
IEEE DOI 0505
BibRef

Lv, F.J.[Feng-Jun], Nevatia, R.[Ramakant],
Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching,
CVPR07(1-8).
IEEE DOI 0706
BibRef
Earlier:
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost,
ECCV06(IV: 359-372).
Springer DOI 0608
BibRef

Wu, B., Singh, V.K., Kuo, C.H., Zhang, L., Lee, S.C., Nevatia, R.,
CLEAR'07 Evaluation of USC Human Tracking System for Surveillance Videos,
MTPH07(xx-yy).
Springer DOI 0705
BibRef

Lv, F.J.[Feng-Jun], Kang, J.M.[Jin-Man], Nevatia, R.[Ram], Cohen, I.[Isaac], Medioni, G.[Gerard],
Automatic Tracking and Labeling of Human Activities in a Video Sequence,
PETS04(xx-yy).
PDF File. BibRef 0400

Lv, F.J.[Feng-Jun], Nevatia, R.[Ramakant], Lee, M.W.[Mun Wai],
3D Human Action Recognition Using Spatio-temporal Motion Templates,
CVHCI05(120).
Springer DOI 0601
BibRef

Pla, F.[Filiberto], Ribeiro, P.[Pedro], Santos-Victor, J.[José], Bernardino, A.[Alexandre],
Extracting Motion Features for Visual Human Activity Representation,
IbPRIA05(I:537).
Springer DOI 0509
BibRef

Ganesh, S.[Sumitra], Bajcsy, R.[Ruzena],
Recognition of Human Actions using an Optimal Control Based Motor Model,
WACV08(1-6).
IEEE DOI 0801
BibRef

Jung, S.H.[Sang-Hack], Bajcsy, R.[Ruzena],
Learning Physical Activities in Immersive Virtual Environments,
CVS06(5).
IEEE DOI 0602
BibRef

Nguyen, N.T.[Nam T.], Phung, D.Q.[Dinh Q.], Venkatesh, S.[Svetha], Bui, H.H.[Hung H.],
Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models,
CVPR05(II: 955-960).
IEEE DOI 0507
BibRef

Nguyen, N.T., Venkatesh, S.,
Discovery of Activity Structures using the Hierarchical Hidden Markov Model,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Connolly, C.I.[Christopher I.], Burns, J.B.[J. Brian], Bui, H.H.[Hung H.],
Recovering Social Networks From Massive Track Datasets,
WACV08(1-8).
IEEE DOI 0801
BibRef

Nguyen, N.T., Bui, H.H., Venkatesh, S., West, G.A.W.,
Recognising and monitoring high-level behaviours in complex spatial environments,
CVPR03(II: 620-625).
IEEE DOI 0307
BibRef

Nguyen, N.T., Venkatesh, S., West, G.A.W., Bui, H.H.,
Hierarchical monitoring of people's behaviors in complex environments using multiple cameras,
ICPR02(I: 13-16).
IEEE DOI 0211
BibRef

Duong, T.V.[Thi V.], Phung, D.Q.[Dinh Q.], Bui, H.H.[Hung H.], Venkatesh, S.[Svetha],
Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model,
ICPR06(III: 202-207).
IEEE DOI 0609
BibRef
Earlier: A1, A3, A2, A4:
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model,
CVPR05(I: 838-845).
IEEE DOI 0507
BibRef

Ren, J.C., Orwell, J., Jones, G.A.,
Learning Surveillance Tracking Models for the Self-Calibrated Ground Plane,
BMVC02(Poster Session). 0208
BibRef

Wechsler, H., Duric, Z., Li, F.Y.[Fa-Yin],
Hierarchical interpretation of human activities using competitive learning,
ICPR02(II: 338-341).
IEEE DOI 0211
BibRef

Menendez, J., Velastin, S.A.,
A Method for Obtaining Neural Network Training Sets in Video Sequences,
VS00(xx-yy). 0102
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Activities, Interacting with Objects .


Last update:Sep 18, 2017 at 11:34:11