16.7.3.1 Trajectory Analysis for Events, Actions

Chapter Contents (Back)
Trajectory Analysis.

Johnson, N.[Neil], Hogg, D.C.[David C.],
Learning the Distribution of Object Trajectories for Event Recognition,
IVC(14), No. 8, August 1996, pp. 609-615.
Elsevier DOI 9609
BibRef
Earlier: BMVC95(xx-yy).
PDF File. 9509
BibRef

de Almeida, V.T.[Victor Teixeira], Güting, R.H.[Ralf Hartmut],
Indexing the Trajectories of Moving Objects in Networks,
GeoInfo(9), No. 1, March 2005, pp. 33-60.
Springer DOI 0509
Store and query the trajectories of the objects. BibRef

Valdés, F.[Fabio], Güting, R.H.[Ralf Hartmut],
Index-supported pattern matching on tuples of time-dependent values,
GeoInfo(21), No. 3, July 2017, pp. 429-458.
WWW Link. 1708
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Pfoser, D.[Dieter], Jensen, C.S.[Christian S.],
Trajectory Indexing Using Movement Constraints,
GeoInfo(9), No. 2, June 2005, pp. 93-115.
Springer DOI 0509
BibRef

Hsiao, Y.T.[Ying-Tung], Chuang, C.L.[Cheng-Long], Lu, Y.L.[Yen-Ling], Jiang, J.A.[Joe-Air],
Robust multiple objects tracking using image segmentation and trajectory estimation scheme in video frames,
IVC(24), No. 10, 1 October 2006, pp. 1123-1136.
Elsevier DOI 0609
Mathematical morphology; Edge detection; Image segmentation; Motion estimation BibRef

Hsieh, J.W.[Jun-Wei], Yu, S.L.[Shang-Li], Chen, Y.S.[Yung-Sheng],
Motion-based video retrieval by trajectory matching,
CirSysVideo(16), No. 3, March 2006, pp. 396-409.
IEEE DOI 0604
BibRef
Earlier:
Trajectory-based video retrieval by string matching,
ICIP04(IV: 2243-2246).
IEEE DOI 0505
BibRef

Bashir, F.I., Khokhar, A.A., Schonfeld, D.,
Object Trajectory-Based Activity Classification and Recognition Using Hidden Markov Models,
IP(16), No. 7, July 2007, pp. 1912-1919.
IEEE DOI 0707
BibRef

Ma, X., Bashir, F.I., Khokhar, A.A., Schonfeld, D.,
Event Analysis Based on Multiple Interactive Motion Trajectories,
CirSysVideo(19), No. 3, March 2009, pp. 397-406.
IEEE DOI 0903
BibRef

Bashir, F.I., Qu, W.[Wei], Khokhar, A.A., Schonfeld, D.,
HMM-Based Motion Recognition System Using Segmented PCA,
ICIP05(III: 1288-1291).
IEEE DOI 0512
BibRef

Chen, X.[Xu], Schonfeld, D.[Dan], Khokhar, A.A.[Ashfaq A.],
Localized Null Space representation for dynamic updating and downdating in image and video databases,
ICIP09(801-804).
IEEE DOI 0911
BibRef
Earlier:
Robust multi-dimensional Null Space representation for image retrieval and classification,
ICIP08(177-180).
IEEE DOI 0810
BibRef
And:
Robust null space representation and sampling for view-invariant motion trajectory analysis,
CVPR08(1-6).
IEEE DOI 0806
See also Bilinear invariant representation for video classification and retrieval. BibRef

Bashir, F.I., Khokhar, A.A., Schonfeld, D.,
Real-Time Motion Trajectory-Based Indexing and Retrieval of Video Sequences,
MultMed(9), No. 1, January 2007, pp. 58-65.
IEEE DOI 0905
BibRef
Earlier:
Segmented trajectory based indexing and retrieval of video data,
ICIP03(II: 623-626).
IEEE DOI 0312
BibRef

Ma, X.[Xiang], Khokhar, A.A.[Ashfaq A.], Schonfeld, D.[Dan],
Robust Video Mining Based on Local Similarity Alignment of Motion Trajectories,
ICIP09(281-284).
IEEE DOI 0911
BibRef

Chen, X.[Xu], Schonfeld, D.[Dan], Khokhar, A.A.[Ashfaq A.],
Bilinear invariant representation for video classification and retrieval,
ICIP10(2385-2388).
IEEE DOI 1009
See also Localized Null Space representation for dynamic updating and downdating in image and video databases. BibRef

Lin, B.[Bin], Su, J.W.[Jian-Wen],
One Way Distance: For Shape Based Similarity Search of Moving Object Trajectories,
GeoInfo(12), No. 2, June 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Wu, S.D.[Shan-Dong], Li, Y.F.,
Flexible signature descriptions for adaptive motion trajectory representation, perception and recognition,
PR(42), No. 1, January 2009, pp. 194-214.
Elsevier DOI 0809
Signature; Trajectory descriptor; Trajectory representation; Motion perception; Trajectory recognition; Robot vision BibRef

Wu, S.D.[Shan-Dong], Li, Y.F.,
Motion trajectory reproduction from generalized signature description,
PR(43), No. 1, January 2010, pp. 204-221,.
Elsevier DOI 0909
Motion trajectory; Signature descriptor; Mutual description; Trajectory reproduction; Computer vision BibRef

Wang, Y.[Yong], Hu, S.Q.[Shi-Qiang], Wu, S.D.[Shan-Dong],
Visual tracking based on group sparsity learning,
MVA(26), No. 1, January 2015, pp. 127-139.
WWW Link. 1503
BibRef

Andersson, M.[Mattias], Gudmundsson, J.[Joachim], Laube, P.[Patrick], Wolle, T.[Thomas],
Reporting Leaders and Followers among Trajectories of Moving Point Objects,
GeoInfo(12), No. 4, December 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Kayumbi, G.[Gabin], Cavallaro, A.[Andrea],
Multiview Trajectory Mapping Using Homography with Lens Distortion Correction,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef

Anjum, N.[Nadeem], Cavallaro, A.[Andrea],
Trajectory Association and Fusion across Partially Overlapping Cameras,
AVSBS09(201-206).
IEEE DOI 0909
BibRef

Kayumbi, G.[Gabin], Anjum, N.[Nadeem], Cavallaro, A.[Andrea],
Global trajectory reconstruction from distributed visual sensors,
ICDSC08(1-8).
IEEE DOI 0809
BibRef
Earlier: A1, A3, Only:
Robust Homography-Based Trajectory Transformation for Multi-Camera Scene Analysis,
ICDSC07(59-66).
IEEE DOI 0709
BibRef

Pelot, R., Wu, Y.[Yan],
Classification of recreational boat types based on trajectory patterns,
PRL(28), No. 15, 1 November 2007, pp. 1987-1994.
Elsevier DOI 0711
Recreational boating; Trajectory analysis; Global positioning system; Discriminant classification BibRef

Anjum, N.[Nadeem], Cavallaro, A.[Andrea],
Multifeature Object Trajectory Clustering for Video Analysis,
CirSysVideo(18), No. 11, November 2008, pp. 1555-1564.
IEEE DOI 0811
BibRef
Earlier:
Single camera calibration for trajectory-based behavior analysis,
AVSBS07(147-152).
IEEE DOI 0709
BibRef
And:
Unsupervised Fuzzy Clustering for Trajectory Analysis,
ICIP07(III: 213-216).
IEEE DOI 0709
BibRef

Hervieu, A., Bouthemy, P., Le Cadre, J.P.,
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories,
CirSysVideo(18), No. 11, November 2008, pp. 1533-1543.
IEEE DOI 0811
BibRef
And:
Activity-based temporal segmentation for videos of interacting objects using invariant trajectory features,
ICIP08(3208-3211).
IEEE DOI 0810
BibRef
Earlier:
A HMM-Based Method for Recognizing Dynamic Video Contents from Trajectories,
ICIP07(IV: 533-536).
IEEE DOI 0709
BibRef

Hu, Z.H.[Zhao-Hua], Fan, X.[Xin], Song, Y.L.[Yao-Liang], Liang, D.Q.[De-Qun],
Joint trajectory tracking and recognition based on bi-directional nonlinear learning,
IVC(27), No. 9, 3 August 2009, pp. 1302-1312.
Elsevier DOI 0906
Visual tracking; Trajectory generative model; Autoencoder network; Nonlinear dimensionality reduction; Particle filter; Improved Hausdorff distance. Embeds high-dimensional trajectories into a two-dimensional plane. BibRef

Dyana, A., Das, S.[Sukhendu],
Trajectory representation using Gabor features for motion-based video retrieval,
PRL(30), No. 10, 15 July 2009, pp. 877-892.
Elsevier DOI 0906
Trajectory representation; Spectral features; Gabor filters; Partial trajectory matching; Edit distance; Motion-based video retrieval BibRef

Liu, H.W.[Hao-Wei], Sun, M.T.[Ming-Ting], Wu, R.C.[Ruei-Cheng], Yu, S.S.[Shiaw-Shian],
Automatic video activity detection using compressed domain motion trajectories for H.264 videos,
JVCIR(22), No. 5, July 2011, pp. 432-439.
Elsevier DOI 1106
Activity detection; Vehicle tracking; Compressed domain processing; H.264 videos; Object classification; Trajectory classification; Motion vector tracking; Residual error tracking BibRef

Karavasilis, V.[Vasileios], Nikou, C.[Christophoros], Likas, A.[Aristidis],
Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering,
IVC(29), No. 5, April 2011, pp. 295-305.
Elsevier DOI 1103
Visual tracking; Gaussian mixture model (GMM); Expectation-Maximization (EM) algorithm; Differential Earth Mover's Distance (Differential EMD); Kalman filter BibRef

Karavasilis, V.[Vasileios], Blekas, K.[Konstantinos], Nikou, C.[Christophoros],
A novel framework for motion segmentation and tracking by clustering incomplete trajectories,
CVIU(116), No. 11, November 2012, pp. 1135-1148.
Elsevier DOI 1210
Motion segmentation; Visual feature tracking; Trajectory clustering; Sparse regression modeling See also Matching mixtures of curves for human action recognition. BibRef

Karavasilis, V.[Vasileios], Nikou, C.[Christophoros], Likas, A.[Aristidis],
Visual tracking using spatially weighted likelihood of Gaussian mixtures,
CVIU(140), No. 1, 2015, pp. 43-57.
Elsevier DOI 1509
Visual tracking BibRef

Karavasilis, V.[Vasileios], Nikou, C.[Christophoros], Likas, A.[Aristidis],
Real time visual tracking using a spatially weighted von Mises mixture model,
PRL(90), No. 1, 2017, pp. 50-57.
Elsevier DOI 1704
Visual tracking BibRef

Hu, W.M.[Wei-Ming], Tian, G.D.[Guo-Dong], Li, X.[Xi], Maybank, S.J.[Stephen J.],
An Improved Hierarchical Dirichlet Process-Hidden Markov Model and Its Application to Trajectory Modeling and Retrieval,
IJCV(105), No. 3, December 2013, pp. 246-268.
Springer DOI 1309
BibRef

del-Bianco, C.R.[Carlos R.], Jaureguizar, F.[Fernando], Garcia, N.[Narciso],
Inference of Complex Trajectories by Means of a Multibehavior and Multiobject Tracking Algorithm,
CirSysVideo(23), No. 8, 2013, pp. 1300-1311.
IEEE DOI 1308
BibRef
Earlier:
Bayesian visual surveillance: A model for detecting and tracking a variable number of moving objects,
ICIP11(1437-1440).
IEEE DOI 1201
BibRef
Earlier:
Visual tracking of multiple interacting objects through Rao-Blackwellized Data Association Particle Filtering,
ICIP10(821-824).
IEEE DOI 1009
Calibration BibRef

Maqueda, A.I.[Ana I.], Ruano, A.[Arturo], del-Blanco, C.R.[Carlos R.], Carballeira, P.[Pablo], Jaureguizar, F.[Fernando], Garcia, N.[Narciso],
Novel multi-feature Bag-of-Words descriptor via subspace random projection for efficient human-action recognition,
AVSS15(1-6)
IEEE DOI 1511
Accuracy BibRef

Lin, W.Y.[Wei-Yang], Hsieh, C.Y.[Chung-Yang],
Kernel-based representation for 2D/3D motion trajectory retrieval and classification,
PR(46), No. 3, March 2013, pp. 662-670.
Elsevier DOI 1212
Discriminant analysis; Kernel method; Trajectory representation; Trajectory-based retrieval; Trajectory-based classification BibRef

Celeux, G.[Gilles], Nascimento, J.C.[Jacinto C.], Marques, J.S.[Jorge S.],
Learning switching dynamic models for objects tracking,
PR(37), No. 9, September 2004, pp. 1841-1853.
Elsevier DOI 0407
BibRef

Nascimento, J.C.[Jacinto C.], Figueiredo, M.A.T.[Mário A.T.], Marques, J.S.[Jorge S.],
Trajectory Classification Using Switched Dynamical Hidden Markov Models,
IP(19), No. 5, May 2010, pp. 1338-1348.
IEEE DOI 1004
See also Similarity-Based Classification of Sequences Using Hidden Markov Models. BibRef

Nascimento, J.C.[Jacinto C.], Figueiredo, M.A.T.[Mário A.T.], Marques, J.S.[Jorge S.],
Activity Recognition Using a Mixture of Vector Fields,
IP(22), No. 5, May 2013, pp. 1712-1725.
IEEE DOI 1303
BibRef
Earlier:
Trajectory analysis in natural images using mixtures of vector fields,
ICIP09(4353-4356).
IEEE DOI 0911
BibRef
And:
Trajectory Modeling Using Mixtures of Vector Fields,
IbPRIA09(40-47).
Springer DOI 0906
BibRef

Marques, J.S.[Jorge S.], Barăo, M.[Miguel], Lemos, J.M.[Joăo M.],
Alignment of velocity fields for video surveillance,
PRL(33), No. 12, 1 September 2012, pp. 1632-1637.
Elsevier DOI 1208
Image analysis; Image alignment; Motion analysis; Video surveillance BibRef

Nascimento, J.C.[Jacinto C.], Marques, J.S.[Jorge S.],
Improving the robustness of gradient vector flow in cluttered images,
ICIP10(657-660).
IEEE DOI 1009
See also Improving the robustness of parametric shape tracking with switched multiple models. BibRef

Marques, J.S.[Jorge S.], Lemos, J.M.[Joăo M.], Figueiredo, M.A.T.[Mário A.T.], Nascimento, J.C.[Jacinto C.], Barăo, M.[Miguel],
Trajectory Analysis Using Switched Motion Fields: A Parametric Approach,
IbPRIA11(420-427).
Springer DOI 1106
BibRef

Nascimento, J.C.[Jacinto C.], Marques, J.S.[Jorge S.], Lemos, J.M.[Joao M.],
Modeling and Classifying Human Activities From Trajectories Using a Class of Space-Varying Parametric Motion Fields,
IP(22), No. 5, May 2013, pp. 2066-2080.
IEEE DOI 1304
BibRef
Earlier:
A class of space-varying parametric motion fields for human activity recognition,
ICIP12(761-764).
IEEE DOI 1302
BibRef
Earlier:
Flexible trajectory modeling using a mixture of parametric motion fields for video surveillance,
ICIP11(1413-1416).
IEEE DOI 1201
BibRef

Cancela, B.[Brais], Ortega, M.[Marcos], Penedo, M.G.[Manuel G.], Novo, J., Barreira, N.,
On the use of a minimal path approach for target trajectory analysis,
PR(46), No. 7, July 2013, pp. 2015-2027.
Elsevier DOI 1303
Online trajectory analysis; Dynamic potential; Abnormal behavior detection; Minimal path; Geodesic active contours BibRef

Cancela, B.[Brais], Ortega, M.[Marcos], Penedo, M.G.[Manuel G.],
Path Analysis Using Directional Forces. A Practical Case: Traffic Scenes,
IbPRIA13(366-373).
Springer DOI 1307
BibRef

Cancela, B.[Brais], Ortega, M.[Marcos], Fernández, A.[Alba],
Trajectory Similarity Measures Using Minimal Paths,
CIAP13(I:400-409).
Springer DOI 1311
BibRef

Cancela, B.[Brais], Ortega, M.[Marcos], Fernández, A.[Alba], Penedo, M.G.[Manuel G.],
Path Analysis in Multiple-Target Video Sequences,
CIAP11(II: 50-59).
Springer DOI 1109
BibRef
Earlier: A1, A2, A4, A3:
Solving Multiple-Target Tracking Using Adaptive Filters,
ICIAR11(I: 416-425).
Springer DOI 1106
BibRef

Lin, L.[Liang], Lu, Y.Y.[Yong-Yi], Pan, Y.[Yan], Chen, X.[Xiaowu],
Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance,
IP(21), No. 12, December 2012, pp. 4844-4857.
IEEE DOI 1212
BibRef

Wang, H.[Heng], Kläser, A.[Alexander], Schmid, C.[Cordelia], Liu, C.L.[Cheng-Lin],
Dense Trajectories and Motion Boundary Descriptors for Action Recognition,
IJCV(103), No. 1, May 2013, pp. 60-79.
Springer DOI 1305
BibRef
Earlier:
Action recognition by dense trajectories,
CVPR11(3169-3176).
IEEE DOI 1106
BibRef

Wang, H.[Heng], Schmid, C.[Cordelia],
Action Recognition with Improved Trajectories,
ICCV13(3551-3558)
IEEE DOI 1403
BibRef

Hu, W.M.[Wei-Ming], Li, X.[Xi], Tian, G.D.[Guo-Dong], Maybank, S.J.[Stephen J.], Zhang, Z.F.[Zhong-Fei],
An Incremental DPMM-Based Method for Trajectory Clustering, Modeling, and Retrieval,
PAMI(35), No. 5, May 2013, pp. 1051-1065.
IEEE DOI 1304
Dirichlet process mixture model, Trajectory clustering and modeling, incremental clustering, time-sensitive Dirichlet process mixture model, video retrieval BibRef

Parent, C.[Christine], Spaccapietra, S.[Stefano], Renso, C.[Chiara], Andrienko, G.[Gennady], Andrienko, N.[Natalia], Bogorny, V.[Vania], Damiani, M.L.[Maria Luisa], Gkoulalas-Divanis, A.[Aris], Macedo, J.[Jose], Pelekis, N.[Nikos], Theodoridis, Y.[Yannis], Yan, Z.X.[Zhi-Xian],
Semantic trajectories modeling and analysis,
Surveys(45), No. 2, February 2013, pp. Article No 42.
DOI Link 1309
Survey, Trajectory Analysis. Focus on movement data has increased as a consequence of the larger availability of such data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in movement has shifted from raw movement data analysis to more application-oriented BibRef

Anagnostopoulos, C., Hadjiefthymiades, S.,
Intelligent Trajectory Classification for Improved Movement Prediction,
SMCS(44), No. 10, October 2014, pp. 1301-1314.
IEEE DOI 1410
knowledge based systems BibRef

Chen, X.G.[Xiao-Gang], Ye, Q.X.[Qi-Xiang], Zou, J.L.[Jia-Ling], Li, C.[Ce], Cui, Y.T.[Yan-Ting], Jiao, J.B.[Jian-Bin],
Visual trajectory analysis via Replicated Softmax-based models,
SIViP(8), No. S1, December 2014, pp. 183-190.
Springer DOI 1411
BibRef

Zhang, S.[Shun], Wang, J.J.[Jin-Jun], Wang, Z.[Zelun], Gong, Y.H.[Yi-Hong], Liu, Y.H.[Yue-Hu],
Multi-target tracking by learning local-to-global trajectory models,
PR(48), No. 2, 2015, pp. 580-590.
Elsevier DOI 1411
Local-to-global BibRef

Wang, Z.[Zelun], Wang, J.J.[Jin-Jun], Zhang, S.[Shun], Gong, Y.H.[Yi-Hong],
Visual tracking based on online sparse feature learning,
IVC(38), No. 1, 2015, pp. 24-32.
Elsevier DOI 1506
Visual tracking BibRef

Wang, T., Zhang, D., Zhou, X., Qi, X., Ni, H., Wang, H., Zhou, G.,
Mining Personal Frequent Routes via Road Corner Detection,
SMCS(46), No. 4, April 2016, pp. 445-458.
IEEE DOI 1604
Clustering algorithms BibRef

Xiang, L.G.[Long-Gang], Gao, M.[Meng], Wu, T.[Tao],
Extracting Stops from Noisy Trajectories: A Sequence Oriented Clustering Approach,
IJGI(5), No. 3, 2016, pp. 29.
DOI Link 1604
BibRef

Lai, T.T.[Tao-Tao], Wang, H.Z.[Han-Zi], Yan, Y.[Yan], Chin, T.J.[Tat-Jun], Zhao, W.L.[Wan-Lei],
Motion Segmentation Via a Sparsity Constraint,
ITS(18), No. 4, April 2017, pp. 973-983.
IEEE DOI 1704
Computational modeling. Trajectory segmentation. BibRef

Luo, T.[Ting], Zheng, X.[Xinwei], Xu, G.[Guangluan], Fu, K.[Kun], Ren, W.[Wenjuan],
An Improved DBSCAN Algorithm to Detect Stops in Individual Trajectories,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Lin, W.Y.[Wei-Yao], Zhou, Y.[Yang], Xu, H.T.[Hong-Teng], Yan, J.C.[Jun-Chi], Xu, M.L.[Ming-Liang], Wu, J.X.[Jian-Xin], Liu, Z.C.[Zi-Cheng],
A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories,
PAMI(39), No. 8, August 2017, pp. 1489-1503.
IEEE DOI 1707
Representing motion trajectories. Context modeling, Electron tubes, Hidden Markov models, Shape, Three-dimensional displays, Trajectory, 3D action recognition, 3D tube, Trajectory representation, abnormality detection, trajectory analysis. BibRef

Guo, S.[Sheng], Xiong, H.J.[Han-Jiang], Zheng, X.W.[Xian-Wei],
A Novel Semantic Matching Method for Indoor Trajectory Tracking,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef


Tian, D.[Dong], Sun, H.F.[Hui-Fang], Vetro, A.[Anthony],
Keypoint trajectory coding on compact descriptor for video analysis,
ICIP16(171-175)
IEEE DOI 1610
Encoding Trajectory descriptions. BibRef

Xu, Z.M.[Zeng-Min], Hu, R.M.[Rui-Min], Chen, J.[Jun], Chen, H.F.[Hua-Feng], Li, H.Y.[Hong-Yang],
Global Contrast Based Salient Region Boundary Sampling for Action Recognition,
MMMod16(I: 187-198).
Springer DOI 1601
Dense Trajectory (iDT) based features. See also Dense Trajectories and Motion Boundary Descriptors for Action Recognition. BibRef

Zhu, W.J.[Wang-Jiang], Wang, B.Y.[Bao-Yuan], Lin, S.,
Adaptive pooling over multiple trajectory attributes for action recognition,
AVSS15(1-6)
IEEE DOI 1511
image motion analysis BibRef

Yang, J.Y.[Jian-Yu], Yuan, J.S.[Jun-Song], Li, Y.F.,
Flexible Trajectory Indexing for 3D Motion Recognition,
WACV15(326-332)
IEEE DOI 1503
Accuracy BibRef

Cox, D.[Doug], Fairall, D.[Darren], MacMillan, N.[Neil], Marinakis, D.[Dimitri], Meger, D.[David], Pourtavakoli, S.[Saamaan], Weston, K.[Kyle],
Trajectory Inference Using a Motion Sensing Network,
CRV14(159-166)
IEEE DOI 1406
Trajectory from low resolution (space and time) sequences. BibRef

Banerjee, P.[Prithviraj], Nevatia, R.[Ram],
Multi-state Discriminative Video Segment Selection for Complex Event Classification,
ACCV14(V: 162-177).
Springer DOI 1504
BibRef

Banerjee, P.[Prithviraj], Nevatia, R.[Ram],
Pose Filter Based Hidden-CRF Models for Activity Detection,
ECCV14(II: 711-726).
Springer DOI 1408
BibRef
Earlier:
Learning neighborhood cooccurrence statistics of sparse features for human activity recognition,
AVSBS11(212-217).
IEEE DOI 1111
BibRef

Banerjee, P.[Prithviraj], Nevatia, R.[Ramakant],
Dynamics Based Trajectory Segmentation for UAV videos,
AVSS10(345-352).
IEEE DOI 1009
BibRef

Liu, H.[Hong], Li, J.[Jiang],
Unsupervised multi-target trajectory detection, learning and analysis in complicated environments,
ICPR12(3716-3720).
WWW Link. 1302
BibRef

Cordes, K.[Kai], Müller, O.[Oliver], Rosenhahn, B.[Bodo], Ostermann, J.[Jörn],
Feature Trajectory Retrieval with Application to Accurate Structure and Motion Recovery,
ISVC11(I: 156-167).
Springer DOI 1109
BibRef

Shi, F., Zhou, Z., Xiao, J., Wu, W.,
A new trajectory clustering algorithm using temporal smoothness for motion segmentation,
ICIP13(4044-4048)
IEEE DOI 1402
Motion Segmentation; Temporal Smoothness; Trajectory Clustering BibRef

Jodoin, P.M.[Pierre-Marc], Benezeth, Y.[Yannick], Wang, Y.[Yi],
Meta-tracking for video scene understanding,
AVSS13(1-6)
IEEE DOI 1311
Histograms; Layout; Surveillance; Tracking; Trajectory; Vectors; Vehicles BibRef

Nierhoff, T., Hirche, S.,
Fast trajectory replanning using Laplacian mesh optimization,
ICARCV12(154-159).
IEEE DOI 1304
BibRef

Shen, Y.[Yuan], Miao, Z.J.[Zhen-Jiang], Zhang, J.[Jian],
Unsupervised online learning trajectory analysis based on weighted directed graph,
ICPR12(1306-1309).
WWW Link. 1302
BibRef

Ulm, M.[Michael], Brandie, N.[Norbert],
Robust online trajectory clustering without computing trajectory distances,
ICPR12(2270-2273).
WWW Link. 1302
BibRef

Park, H.S.[Hyun Soo], Sheikh, Y.[Yaser],
3D reconstruction of a smooth articulated trajectory from a monocular image sequence,
ICCV11(201-208).
IEEE DOI 1201
BibRef

Twardy, C.R.[Charles R.], Stefanidis, A.[Anthony],
Local complexity adaptable trajectory partitioning via minimum message length,
ICIP11(1881-1884).
IEEE DOI 1201
BibRef

Aung, Z.[Zeyar], Sim, K.[Kelvin], Ng, W.S.[Wee Siong],
Traj Align: A Method for Precise Matching of 3-D Trajectories,
ICPR10(3818-3821).
IEEE DOI 1008
BibRef

Jablonski, B.[Bartosz], Kulbacki, M.[Marek],
Nonlinear Multiscale Analysis of Motion Trajectories,
ICCVG10(I: 122-130).
Springer DOI 1009
BibRef

Dudek, G.[Gregory], Lobos, J.P.[John-Paul],
Towards Navigation Summaries: Automated Production of a Synopsis of a Robot Trajectories,
CRV09(93-100).
IEEE DOI 0905
BibRef

Das, S.[Sanjib], Bora, P.K.[Prabin Kumar], Gogoi, A.K.[Anup Kumar],
Subtractive clustering of vertices for CPCA based animation geometry compression,
ICCVGIP10(205-210).
DOI Link 1111
Clustered PCA. vertex trajectory analysis. BibRef

Jiang, W.[Wang], Zhang, Z.H.[Zeng-Hui], Zhu, J.[Jubo],
Trajectory Processing Under Incomplete Measurement Situation Using a Sparse Representation Model,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, X., Hu, W., Zhang, Z., Zhang, X., Luo, G.,
Trajectory-Based Video Retrieval Using Dirichlet Process Mixture Models,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Dockstader, S.L.[Shiloh L.],
Motion Trajectory Classification for Visual Surveillance and Tracking,
AVSBS06(34-34).
IEEE DOI 0611
BibRef

Jin, Y., Mokhtarian, F.,
Efficient Video Retrieval by Motion Trajectory,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Choi, P., and Hebert, M.,
Learning and Predicting Moving Object Trajectory: A piecewise trajectory segment approach,
CMU-RI-TR-06-42, August, 2006.
WWW Link. BibRef 0608

Naftel, A.[Andrew], Khalid, S.[Shehzad],
Motion Trajectory Learning in the DFT-Coefficient Feature Space,
CVS06(47).
IEEE DOI 0602
Cluster video using spatio-temporal models based on DFT. BibRef

Khalid, S.[Shehzad], Naftel, A.[Andrew],
Evaluation of Matching Metrics for Trajectory-Based Indexing and Retrieval of Video Clips,
WACV05(I: 242-249).
IEEE DOI 0502
3 similarity metrics to match trajectories. BibRef

Mann, R., Jepson, A.D., El-Maraghi, T.F.,
Trajectory segmentation using dynamic programming,
ICPR02(I: 331-334).
IEEE DOI 0211
BibRef

Kubica, J.M., Moore, A., Connolly, A.J., Jedicke, R.,
Spatial Data Structures for Efficient Trajectory-Based Queries,
CMU-RI-TR-04-61, November, 2004.
HTML Version. 0501
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Owens, J., Hunter, A.,
Application of the Self-Organizing Map to Trajectory Classification,
VS00(77-83). 0102
BibRef

Heikkonen, J., Koikkalainen, P., Schnorr, C.,
Learning motion trajectories via self-organization,
ICPR94(B:554-556).
IEEE DOI 9410
BibRef

Garcia, M., Nicolas, H.,
Video object trajectory analysis,
ICIP02(I: 585-588).
IEEE DOI 0210
BibRef

Motsch, J., Nicolas, H.,
3D motion estimation of video objects using a priori data and 2D apparent motion,
ICIP98(I: 908-912).
IEEE DOI 9810
BibRef

Hsu, C.T.[Chiou-Ting], Teng, S.J.[Shang-Ju],
Motion trajectory based video indexing and retrieval,
ICIP02(I: 605-608).
IEEE DOI 0210
BibRef

Ichimura, N.,
Stochastic filtering for motion trajectory in image sequences using a monte carlo filter with estimation of hyper-parameters,
ICPR02(IV: 68-73).
IEEE DOI 0211
BibRef

Eng, H.L.[How-Lung], Ma, K.K.[Kai-Kuang],
Motion Trajectory Extraction Based on Macroblock Motion Vectors for Video Indexing,
ICIP99(III:284-288).
IEEE DOI BibRef 9900

Haynes, S.M., and Jain, R.C.,
Trajectories and Events,
CVPR91(702-703).
IEEE DOI BibRef 9100
Earlier:
Low Level Motion Events: Trajectory Discontinuities,
CAIA84(251-256). Line fitting algorithm to track points through a sequence. BibRef

Gould, K., Shah, M.,
The Trajectory Primal Sketch: A Multi-Scale Scheme for Representing Motion Characteristics,
CVPR89(79-85).
IEEE DOI BibRef 8900

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Event Models, Action Models, Motion Detection for Events, Backgrounds .


Last update:Nov 11, 2017 at 13:31:57