17.1.3.4.17 Tracking People with 3D Models, Articulation Models

Xiang, W.M.[Wang-Meng], Huang, J.Q.[Jian-Qiang], Hua, X.S.[Xian-Sheng], Zhang, L.[Lei],
Part-aware Attention Network for Person Re-identification,
ACCV20(IV:136-152).
Springer DOI 2103
BibRef

Jin, S.[Sheng], Liu, W.T.[Wen-Tao], Ouyang, W.L.[Wan-Li], Qian, C.[Chen],
Multi-Person Articulated Tracking With Spatial and Temporal Embeddings,
CVPR19(5657-5666).
IEEE DOI 2002
BibRef

Nambiar, A.[Athira], Bernardino, A.[Alexandre], Nascimento, J.C.[Jacinto C.], Fred, A.,
Context-Aware Person Re-Identification in the Wild Via Fusion of Gait and Anthropometric Features,
FG17(973-980)
IEEE DOI 1707
Cameras, Context, Data mining, Feature extraction, Knee, Legged locomotion, Skeleton BibRef

Planinc, R.[Rainer], Kampel, M.[Martin],
Local behavior modeling based on long-term tracking data,
MVA15(303-306)
IEEE DOI 1507
BibRef
And:
Human Centered Scene Understanding Based on 3D Long-Term Tracking Data,
IbPRIA15(93-100).
Springer DOI 1506
BibRef
Earlier:
Human Centered Scene Understanding Based on Depth Information: How to Deal with Noisy Skeleton Data?,
ISVC14(I: 609-618).
Springer DOI 1501
Analytical models BibRef

Tran, N.T.[Ngoc-Trung], Ababsa, F.[Fakhreddine], Charbit, M.[Maurice],
U3PT: A New Dataset for Unconstrained 3D Pose Tracking Evaluation,
CAIP15(I:642-653).
Springer DOI 1511
BibRef

Figueira, D.[Dario], Taiana, M.[Matteo], Nambiar, A.[Athira], Nascimento, J.C.[Jacinto C.], Bernardino, A.[Alexandre],
The HDA+ Data Set for Research on Fully Automated Re-identification Systems,
Re-Id14(241-255).
Springer DOI 1504
Dataset, Re-Identification. BibRef

Shafaei, A.[Alireza], Little, J.J.[James J.],
Real-Time Human Motion Capture with Multiple Depth Cameras,
CRV16(24-31)
IEEE DOI 1612
depth sensors;human motion capture BibRef

Wang, W.J.[Wei-Jun], Nevatia, R.[Ram], Yang, B.[Bo],
Beyond Pedestrians: A Hybrid Approach of Tracking Multiple Articulating Humans,
WACV15(132-139)
IEEE DOI 1503
Color; Detectors;Reliability; Target tracking;Training;Visualization BibRef

Bedagkar-Gala, A.[Apurva], Shah, S.K.[Shishir K.],
Gait-Assisted Person Re-identification in Wide Area Surveillance,
HIS14(633-649).
Springer DOI 1504
BibRef

Liu, Z.[Zheng], Zhang, Z.X.[Zhao-Xiang], Wu, Q.A.[Qi-Ang], Wang, Y.H.[Yun-Hong],
Enhancing Person Re-identification by Integrating Gait Biometric,
Gait14(I: 35-45).
Springer DOI 1504
BibRef

Helten, T.[Thomas], Muller, M.[Meinard], Seidel, H.P.[Hans-Peter], Theobalt, C.[Christian],
Real-Time Body Tracking with One Depth Camera and Inertial Sensors,
ICCV13(1105-1112)
IEEE DOI 1403
Depth tracking; inertial sensors; real-time; sensor fusion BibRef

Helten, T., Baak, A., Bharaj, G., Muller, M., Seidel, H.P., Theobalt, C.,
Personalization and Evaluation of a Real-Time Depth-Based Full Body Tracker,
3DV13(279-286)
IEEE DOI 1311
image motion analysis BibRef

Makihara, Y.S.[Yasu-Shi], Muramatsu, D., Iwama, H.[Haruyuki], Yagi, Y.S.[Yasu-Shi],
On combining gait features,
FG13(1-8)
IEEE DOI 1309
biometrics (access control) BibRef

Xie, Y.[Yi], Pei, M.[Mingtao], Liu, Z.[Zhao], Wu, T.F.[Tian-Fu],
Tracking Pedestrian with Multi-component Online Deformable Part-Based Model,
ACCV12(III:664-676).
Springer DOI 1304
BibRef

Zhu, Q.X.[Qing-Xiang], Xiong, H.K.[Hong-Kai], Jiang, X.Q.[Xiao-Qian],
Shape-oriented segmentation with graph matching corroboration for silhouette tracking,
VCIP12(1-6).
IEEE DOI 1302
BibRef

Bonnin, A., Borras, R., Vitria, J.,
A cluster-based strategy for active learning of RGB-D object detectors,
ConDepth11(1215-1220).
IEEE DOI 1201
BibRef

Corvee, E., Bremond, F.,
Body Parts Detection for People Tracking Using Trees of Histogram of Oriented Gradient Descriptors,
AVSS10(469-475).
IEEE DOI 1009
BibRef

Sherrah, J.[Jamie],
Occluded Pedestrian Tracking Using Body-Part Tracklets,
DICTA10(314-319).
IEEE DOI 1012
BibRef

Dixit, M.[Mandar], Venkatesh, K.S.,
Combining Edge and Color Features for Tracking Partially Occluded Humans,
ACCV09(II: 140-149).
Springer DOI 0909
BibRef

Kwolek, B.[Bogdan], Krzeszowski, T.[Tomasz], Gagalowicz, A.[André], Wojciechowski, K.[Konrad], Josinski, H.[Henryk],
Real-Time Multi-view Human Motion Tracking Using Particle Swarm Optimization with Resampling,
AMDO12(92-101).
Springer DOI 1208
BibRef

Kwolek, B.[Bogdan], Krzeszowski, T.[Tomasz], Wojciechowski, K.[Konrad],
Real-Time Multi-view Human Motion Tracking Using 3D Model and Latency Tolerant Parallel Particle Swarm Optimization,
MIRAGE11(169-180).
Springer DOI 1110
BibRef
Earlier:
Swarm Intelligence Based Searching Schemes for Articulated 3D Body Motion Tracking,
ACIVS11(115-126).
Springer DOI 1108
BibRef
Earlier: A2, A1, A3:
Articulated Body Motion Tracking by Combined Particle Swarm Optimization and Particle Filtering,
ICCVG10(I: 147-154).
Springer DOI 1009
BibRef

Kwolek, B.[Bogdan],
Object Tracking via Multi-region Covariance and Particle Swarm Optimization,
AVSBS09(418-423).
IEEE DOI 0909
BibRef
Earlier:
3D Model-Based Tracking of the Human Body in Monocular Gray-Level Images,
MIRAGE07(494-505).
Springer DOI 0703
BibRef
Earlier:
Object Tracking Using Discriminative Feature Selection,
ACIVS06(287-298).
Springer DOI 0609
BibRef
Earlier:
CamShift-Based Tracking in Joint Color-Spatial Spaces,
CAIP05(693).
Springer DOI 0509
BibRef

Austvoll, I.[Ivar], Kwolek, B.[Bogdan],
Region Covariance Matrix-Based Object Tracking with Occlusions Handling,
ICCVG10(I: 201-208).
Springer DOI 1009
BibRef

Rymut, B.[Boguslaw], Kwolek, B.[Bogdan], Krzeszowski, T.[Tomasz],
GPU-Accelerated Human Motion Tracking Using Particle Filter Combined with PSO,
ACIVS13(426-437).
Springer DOI 1311
Low Level Image Analysis and Segmentation BibRef

Rymut, B.[Boguslaw], Kwolek, B.[Bogdan],
GPU-Supported Object Tracking Using Adaptive Appearance Models and Particle Swarm Optimization,
ICCVG10(II: 227-234).
Springer DOI 1009
BibRef

Kwolek, B.[Bogdan],
Learning-Based Object Tracking Using Boosted Features and Appearance-Adaptive Models,
ACIVS07(144-155).
Springer DOI 0708
BibRef

de Chaumont, F., Dallongeville, S., Chenouard, N., Olivo-Marin, J.C.,
Tracking multiple articulated objects using physics engines: Improvement using multi scale decomposition and quadtrees,
ICIP10(4637-4640).
IEEE DOI 1009
BibRef

Yan, J.C.[Jun-Chi], Li, Y.[Yin], Zheng, E.L.[En-Liang], Liu, Y.C.[Yun-Cai],
An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments,
ACCV09(II: 313-324).
Springer DOI 0909
BibRef

Chen, Y.L.[Yen-Lin], Chai, J.X.[Jin-Xiang],
3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video,
ACCV09(I: 71-82).
Springer DOI 0909
BibRef

Bandouch, J.[Jan], Beetz, M.[Michael],
Tracking humans interacting with the environment using efficient hierarchical sampling and layered observation models,
HCI09(2040-2047).
IEEE DOI 0910
51 DoF human model. BibRef

Chen, C.[Cheng], Fan, G.L.[Guo-Liang],
Combining spatial and temporal priors for articulated human tracking with online learning,
WDV09(719-726).
IEEE DOI 0910
BibRef

Walther, T.[Thomas], Wurtz, R.P.[Rolf P.],
Unsupervised learning of human body parts from video footage,
NORDIA09(336-343).
IEEE DOI 0910
BibRef

Badrinarayanan, V.[Vijay], Perez, P.[Patrick], Le Clerc, F.[Francois], Oisel, L.[Lionel],
Geometric Layout Based Graphical Model for Multi-Part Object Tracking,
VS08(xx-yy). 0810
BibRef
Earlier:
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues,
ICCV07(1-8).
IEEE DOI 0710
BibRef
And:
On Uncertainties, Random Features and Object Tracking,
ICIP07(V: 61-64).
IEEE DOI 0709
BibRef

Mohedano, R.[Raul], del-Blanco, C.R.[Carlos R.], Jaureguizar, F.[Fernando], Salgado, L.[Luis], Garcia, N.[Narciso],
Robust 3D people tracking and positioning system in a semi-overlapped multi-camera environment,
ICIP08(2656-2659).
IEEE DOI 0810
BibRef

Caglar, M.B., da Vitoria Lobo, N.,
Self Correcting Tracking for Articulated Objects,
FGR06(609-616).
IEEE DOI 0604
BibRef

Hiromoto, M.[Masayuki], Miyamoto, R.[Ryusuke],
Hardware architecture for high-accuracy real-time pedestrian detection with CoHOG features,
EmbedCV09(894-899).
IEEE DOI 0910
BibRef
And:
Cascade Classifier Using Divided CoHOG Features for Rapid Pedestrian Detection,
CVS09(53-62).
Springer DOI 0910

See also Partially Parallel Architecture for AdaBoost-Based Detection with Haar-Like Features. BibRef

Sugano, H.[Hiroki], Miyamoto, R.[Ryusuke],
Parallel implementation of pedestrian tracking using multiple cues on GPGPU,
EmbedCV09(900-906).
IEEE DOI 0910
BibRef

Miyamoto, R.[Ryusuke], Sugano, H.[Hiroki], Saito, H.[Hiroaki], Tsutsui, H.[Hiroshi], Ochi, H.[Hiroyuki], Hatanaka, K.[Ken'ichi], Nakamura, Y.[Yukihiro],
Pedestrian Recognition in Far-Infrared Images by Combining Boosting-Based Detection and Skeleton-Based Stochastic Tracking,
PSIVT06(483-494).
Springer DOI 0612
BibRef

Ashida, J., Miyamoto, R., Tsutsui, H., Onoye, T., Nakamura, Y.,
Probabilistic Pedestrian Tracking Based on a Skeleton Model,
ICIP06(2825-2828).
IEEE DOI 0610
BibRef

Zhang, Z.[Zhong], Venetianer, P.L.[Péter L.], Lipton, A.J.[Alan J.],
A Robust Human Detection and Tracking System using a Human-Model-Based Camera Calibration,
VS08(xx-yy). 0810
BibRef

Bernardin, K.[Keni], Gehrig, T.[Tobias], Stiefelhagen, R.[Rainer],
Multi-level Particle Filter Fusion of Features and Cues for Audio-Visual Person Tracking,
MTPH07(xx-yy).
Springer DOI 0705
BibRef

Bernardin, K.[Keni], van de Camp, F.[Florian], Stiefelhagen, R.[Rainer],
Automatic Person Detection and Tracking using Fuzzy Controlled Active Cameras,
VS07(1-8).
IEEE DOI 0706
BibRef

Bernardin, K.[Keni], Elbs, A.[Alexander], Stiefelhagen, R.[Rainer],
Detection-Assisted Initialization, Adaptation and Fusion of Body Region Trackers for Robust Multiperson Tracking,
ICPR06(I: 441-445).
IEEE DOI 0609
BibRef

Chen, H.T.[Hwann-Tzong], Liu, T.L.[Tyng-Luh], Fuh, C.S.[Chiou-Shann],
Segmenting Highly Articulated Video Objects with Weak-Prior Random Forests,
ECCV06(IV: 373-385).
Springer DOI 0608
BibRef

Balan, A.O.[Alexandru O.], Black, M.J.[Michael J.],
An Adaptive Appearance Model Approach for Model-based Articulated Object Tracking,
CVPR06(I: 758-765).
IEEE DOI 0606
BibRef

Balan, A.O., Sigal, L., Black, M.J.,
A Quantitative Evaluation of Video-based 3D Person Tracking,
PETS05(349-356).
IEEE DOI 0602
BibRef

Zhang, J.Y.[Jia-Yong], Liu, Y.X.[Yan-Xi], Luo, J.B.[Jie-Bo], Collins, R.T.[Robert T.],
Body Localization in Still Images Using Hierarchical Models and Hybrid Search,
CVPR06(II: 1536-1543).
IEEE DOI 0606
BibRef

Zhang, J.Y.[Jia-Yong], Collins, R.T.[Robert T.], Liu, Y.X.[Yan-Xi],
Bayesian Body Localization Using Mixture of Nonlinear Shape Models,
ICCV05(I: 725-732).
IEEE DOI 0510
Model body parts for pedestrians. BibRef

Zhang, J.Y.[Jia-Yong], Collins, R.T., Liu, Y.X.[Yan-Xi],
Representation and matching of articulated shapes,
CVPR04(II: 342-349).
IEEE DOI 0408
BibRef

Cuzzolin, F., Sarti, A., Tubaro, S.,
Action modeling with volumetric data,
ICIP04(II: 881-884).
IEEE DOI 0505
BibRef

Curio, C.[Cristóbal], Giese, M.A.[Martin A.],
Combining View-Based and Model-Based Tracking of Articulated Human Movements,
Motion05(II: 261-268).
IEEE DOI 0502
BibRef

Ragheb, H.[Hossein], Velastin, S.A.[Sergio A.], Remagnino, P.[Paolo], Ellis, T.[Tim],
Human action recognition using robust power spectrum features,
ICIP08(753-756).
IEEE DOI 0810
BibRef
And:
ViHASi: Virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods,
ICDSC08(1-10).
IEEE DOI 0809
BibRef
And: VNBA08(77-84).
DOI Link 1208
BibRef
And:
A Novel Approach for Fast Action Recognition using Simple Features,
VS08(xx-yy). 0810
Dataset, Action Recognition. Silhouette based action recognition. BibRef

Orrite, C.[Carlos], Monforte, P.[Pedro], Rodriguez, M.[Mario], Herrero, E.[Elías],
Human Action Recognition under Partial Occlusions,
IbPRIA13(398-405).
Springer DOI 1307
BibRef

Martinez-Contreras, F.[Francisco], Orrite-Urunuela, C.[Carlos], Herrero-Jaraba, E.[Elias], Ragheb, H.[Hossein], Velastin, S.A.[Sergio A.],
Recognizing Human Actions Using Silhouette-based HMM,
AVSBS09(43-48).
IEEE DOI 0909
BibRef
Earlier: A2, A1, A3, A4, A5:
Independent viewpoint silhouette-based human action modeling and recognition,
MLMotion08(xx-yy). 0810
BibRef

Orrite-Urunuela, C., Martinez del Rincon, J., Herrero-Jaraba, J.E., Rogez, G.,
2D silhouette and 3D skeletal models for human detection and tracking,
ICPR04(IV: 244-247).
IEEE DOI 0409
BibRef

Lim, J.W.[Jong-Woo], Kriegman, D.,
Tracking humans using prior and learned representations of shape and appearance,
AFGR04(869-874).
IEEE DOI 0411
BibRef

Panagiotakis, C.[Costas], Tziritas, G.[Georgios],
Recognition and Tracking of the Members of a Moving Human Body,
AMDO04(86-98).
Springer DOI 0505
BibRef

Moeslund, T.B.[Thomas B.], Granum, E.[Erik],
Bootstrapping Sequential Monte Carlo Tracking,
SCIA03(1030-1037).
Springer DOI 0310
BibRef
And:
Sequential Monte Carlo tracking of body parameters in a sub-space,
AMFG03(84-91).
IEEE DOI 0311
BibRef

Huang, Y.[Yu], Huang, T.S.,
Model-based human body tracking,
ICPR02(I: 552-555).
IEEE DOI 0211
BibRef

Sidenbladh, H., Black, M.J., Sigal, L.,
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking,
ECCV02(I: 784 ff.).
Springer DOI 0205
BibRef

di Franco, D.E.[David E.], Cham, T.J.[Tat-Jen], Rehg, J.M.[James M.],
Reconstruction of 3D Figure Motion from 2D Correspondences,
CVPR01(I:307-314).
IEEE DOI 0110
Interactive system to recover 3-D motion for a human model. BibRef

Rehg, J.M.[James M.], Rowley, H.A.[Henry A.],
Method for detecting human body motion in frames of a video sequence,
US_Patent5,930,379, Jul 27, 1999
WWW Link. BibRef 9907
And: A2, A1:
Analyzing Articulated Motion Using Expectation-Maximization,
CVPR97(935-941).
IEEE DOI 9704
Actions. Using optic flow. BibRef

Grammalidis, N., Goussis, G., Troufakos, G., Strintzis, M.G.,
3-D Human Body Tracking from Depth Images Using Analysis by Synthesis,
ICIP01(II: 185-188).
IEEE DOI 0108
BibRef

Hoshino, J., Saito, H., Yamamoto, M.,
Automatic Registration of Virtual Objects onto Human Image Sequences,
ICPR00(Vol III: 171-173).
IEEE DOI 0009
Tracking people. BibRef

Kagami, S., Okada, K., Inaba, M., Inoue, H.,
Realtime 3D Depth Flow Generation and Its Application to Track to Walking Human Being,
ICPR00(Vol IV: 197-200).
IEEE DOI 0009
BibRef

Pan, C.H.[Chun-Hong], Ma, S.D.[Song-De],
Parametric tracking of human contour by exploiting intelligent edge,
AFGR04(663-668).
IEEE DOI 0411
BibRef

Pan, C.H.[Chun-Hong], Ma, S.D.[Song-De],
3D Motion Estimation of Human by Genetic Algorithm,
ICPR00(Vol I: 159-163).
IEEE DOI 0009
BibRef

Segawa, H.[Hiroyuki], Totsuka, T.[Takashi],
Torque-based Recursive Filtering Approach to the Recovery of the 3-D Articulated Motion from Image Sequences,
CVPR99(II: 340-345).
IEEE DOI Use robot dynamics to guide result. BibRef 9900

Segawa, H.[Hiroyuki], Hiraki, N.[Norikazu], Shioya, H.[Hiroyuki], Totsuka, T.[Takashi],
Constraint-conscious Smoothing Framework for the Recovery of 3D Articulated Motion from Image Sequences,
AFGR00(476-482).
IEEE DOI 0003
BibRef

Jojic, N.[Nebojsa], Turk, M.A.[Matthew A.],
System and method for visually tracking occluded objects in real time,
US_Patent6,674,877, Jan 6, 2004
WWW Link. BibRef 0401

Jojic, N., Turk, M.A., Huang, T.S.,
Tracking Self-Occluding Articulated Objects in Dense Disparity Maps,
ICCV99(123-130).
IEEE DOI BibRef 9900

Yaniz, C., Rocha, J.,
Matching of 3d Graphs for Human Motion Analysis,
MVA98(xx-yy). BibRef 9800

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Tracking Animals, Animal Gait, Animal Behaviors .

Last update:Aug 28, 2024 at 16:02:19