16.6.2.1.1 Target Tracking Techniques, Occlusions, Clutter

Legters, Jr., G.R., and Young, T.Y.,
A Mathematical Model for Computer Image Tracking,
PAMI(4), No. 6, November 1982, pp. 583-594. Kalman Filter. Operates on synthetic binary images, operators for translation and rotation describe the motion and a predictive Kalman filter is used to track motion through occlusions (2-d rigid motion only). Differences between pairs of scenes (images) give a positive and negative image. From the error function, the adjustment in (Dx, Dy) can be computed (iterate!). The gradient of the error is computed to aid in this (change is in the direction of the gradient). There may be something in the formulation that implies that perfect differences can give proper results. BibRef 8211

Ichida, L.F.[LeRoy F.], Sturla, R.A.[Robert A.], Sacks, J.M.[Jacob M.],
Scene tracker using multiple independent correlators,
US_Patent4,220,967, 09/02/1980.
HTML Version. Correlation tracking. BibRef 8009

Sacks, J.M.[Jack M.], Coleman, G.B.[Guy B.],
Target acquisition system and method,
US_Patent4,739,401, 04/19/1988.
HTML Version. BibRef 8804

Kokaram, A.C., Morris, R.D., Fitzgerald, W.J., Rayner, P.J.W.,
Detection of Missing Data in Image Sequences,
IP(4), No. 11, November 1995, pp. 1496-1508.
IEEE DOI Reference BibRef 9511
And:
Interpolation of Missing Data in Image Sequences,
IP(4), No. 11, November 1995, pp. 1509-1519.
IEEE DOI Reference BibRef

Jauffret, C., Pillon, D.,
Observability in Passive Target Motion Analysis,
AeroSys(32), No. 4, October 1996, pp. 1290-1300. 9611 BibRef

Kirubarajan, T., Bar-Shalom, Y.,
Low Observable Target Motion Analysis Using Amplitude Information,
AeroSys(32), No. 4, October 1996, pp. 1367-1384. 9611 BibRef

Veenman, C.J.[Cor J.], Reinders, M.J.T.[Marcel J.T.], Backer, E.[Eric],
Resolving Motion Correspondence for Densely Moving Points,
PAMI(23), No. 1, January 2001, pp. 54-72.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0101With lots of points, there is always ambiguity in the resulting match. Track to deal with occlusions, crossings, etc. BibRef

Veenman, C.J., Hendriks, E.A., Reinders, M.J.T.,
A fast and robust point tracking algorithm,
ICIP98(III: 653-657).
IEEE DOI Reference 9810 BibRef

Jurie, F.[Frédéric], Dhome, M.[Michel],
Real time tracking of 3D objects: an efficient and robust approach,
PR(35), No. 2, February 2002, pp. 317-328.
WWW Version. 0201 BibRef

Masson, L., Jurie, F., Dhome, M.,
Tracking 3D Object using Flexible Models,
BMVC05(xx-yy).
HTML Version. 0509 BibRef

Masson, L., Dhome, M., Jurie, F.,
Robust real time tracking of 3D objects,
ICPR04(IV: 252-255).
IEEE DOI Reference 0409 BibRef

Duculty, F., Dhome, M., Jurie, F.,
Real time 3D face tracking from appearance,
ICIP02(I: 581-584).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Duculty, F., Dhome, M., Jurie, F.,
Tracking of 3D Objects from Appearance,
SCIA01(O-Tu5). 0206 BibRef

Jurie, F.[Frédéric], Dhome, M.[Michel],
Hyperplane Approximation for Template Matching,
PAMI(24), No. 7, July 2002, pp. 996-1000.
IEEE Abstract. IEEE Top Reference. 0207 BibRef
Earlier:
Real Time 3D Template Matching,
CVPR01(I:791-796).
IEEE Abstract. IEEE Top Reference. 0110 BibRef
And:
Real Time Tracking of 3d Objects with Occultations,
ICIP01(I: 413-416).
IEEE Abstract. IEEE Top Reference. 01083-D Pose. And Tracking. BibRef

Jurie, F.[Frederic], Dhome, M.[Michel],
Real Time Robust Template Matching,
BMVC02(Matching/Recognition). 0208 BibRef
Earlier:
A Simple and Efficient Template Matching Algorithm,
ICCV01(II: 544-549).
IEEE DOI Reference 0106 BibRef

Iannizzotto, G.[Giancarlo], Vita, L.[Lorenzo],
On-line Object Tracking for Colour Video Analysis,
RealTimeImg(8), No. 2, April 2002, pp. 145-155.
WWW Version. 0208Using contours, but not snake approach, track object with occlusions. See also Fast and Accurate Edge-Based Segmentation with No Contour Smoothing in 2-D Real Images. BibRef

Iannizzotto, G.,
Real-time Object Tracking with Movels and Affine Transformations,
ICIP00(Vol I: 316-318).
IEEE Abstract. IEEE Top Reference. 0008 BibRef

Sanchez, O.[Olivia], Dibos, F.[Françoise],
Displacement Following of Hidden Objects in a Video Sequence,
IJCV(57), No. 2, May 2004, pp. 91-105.
WWW Version. 0402Recovery of the most likely motion of the occluded object using optical flow (at time of occlusion). BibRef

Jonchery, C., Dibos, F., Koepfler, G.,
Camera Motion Estimation Through Planar Deformation Determination,
JMIV(32), No. 1, September 2008, pp. xx-yy.
Springer DOI Reference 0804 BibRef

Gentile, C.[Camillo], Camps, O.I.[Octavia I.], and Sznaier, M.[Mario],
Segmentation for Robust Tracking in the Presence of Severe Occlusion,
IP(13), No. 2, February 2004, pp. 166-178.
IEEE DOI Reference 0404 BibRef
Earlier: CVPR01(II:483-489).
IEEE Abstract. IEEE Top Reference. 0110Maintain the object when it passes behind another. Apply to traffic. BibRef

Lim, H.[Hwasup], Camps, O.I.[Octavia I.], Sznaier, M.[Mario], Morariu, V.I.[Vlad I.],
Dynamic Appearance Modeling for Human Tracking,
CVPR06(I: 751-757).
IEEE DOI Reference 0606 BibRef

Lim, H.[Hwasup], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
A Caratheodory-Fejer Approach to Dynamic Appearance Modeling,
CVPR05(I: 301-307).
IEEE DOI Reference 0507 BibRef

Fransen, B.R.[Benjamin R.], Camps, O.I.[Octavia I.], Sznaier, M.[Mario],
Robust Structure from Motion and Identified Dynamics,
ICCV05(I: 772-777).
IEEE DOI Reference 0510Estimate dynamics from previous frames. BibRef

Camps, O.I., Lim, H.[Hwasup], Mazzaro, C., Sznaier, M.,
A Caratheodory-Fejer Approach to Robust Multiframe Tracking,
ICCV03(1048-1055).
IEEE DOI Reference 0311Model the dynmaics as an unknown operator that satisfies certain interpolation conditions. BibRef

Nguyen, H.T.[Hieu T.], Smeulders, A.W.M.[Arnold W.M.],
Fast Occluded Object Tracking by a Robust Appearance Filter,
PAMI(26), No. 8, August 2004, pp. 1099-1104.
IEEE Abstract. IEEE Top Reference. 0407 BibRef
Earlier:
Template tracking using color invariant pixel features,
ICIP02(I: 569-572).
IEEE Abstract. IEEE Top Reference. 0210Learn the object to handle aspect changes. Template matching based, with template updated by Kalman filter. BibRef

Nguyen, H.T.[Hieu T.], Smeulders, A.W.M.[Arnold W. M.],
Robust Tracking Using Foreground-Background Texture Discrimination,
IJCV(69), No. 3, September 2006, pp. 277-293.
Springer DOI Reference 0606 BibRef
Earlier:
Tracking Aspects of the Foreground against the Background,
ECCV04(Vol II: 446-456).
WWW Version. 0405 BibRef

Nguyen, H.T.[Hieu T.], Ji, Q.A.[Qi-Ang], Smeulders, A.W.M.[Arnold W.M.],
Spatio-Temporal Context for Robust Multitarget Tracking,
PAMI(29), No. 1, January 2007, pp. 52-64.
IEEE DOI Reference 0701 BibRef
Earlier:
Robust multi-target tracking using spatio-temporal context,
CVPR06(I: 578-585).
IEEE DOI Reference 0606Use context to maintain tracking with occlusions. Spatial context of background and nearby targets and the temporal context. BibRef

Yilmaz, A.[Alper], Li, X.[Xin], and Shah, M.[Mubarak],
Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras,
PAMI(26), No. 11, November 2004, pp. 1531-1536.
IEEE Abstract. IEEE Top Reference. 0410 BibRef

Loutas, E., Pitas, I., Nikou, C.,
Entropy-based metrics for the analysis of partial and total occlusion in video object tracking,
VISP(151), No. 6, December 2004, pp. 487-497.
IEEE Abstract. IEEE Top Reference. 0501 BibRef
Earlier: A1, A3, A2:
Information theory-based analysis of partial and total occlusion in object tracking,
ICIP02(II: 309-312).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Loutas, E., Nikolaidis, N., Pitas, I.,
Evaluation of tracking reliability metrics based on information theory and normalized correlation,
ICPR04(IV: 653-656).
IEEE DOI Reference 0409 BibRef

Pang, C.C.C., Lam, W.W.L., Yung, N.H.C.,
A novel method for resolving vehicle occlusion in a monocular traffic-image sequence,
ITS(5), No. 3, September 2004, pp. 129-141.
IEEE Abstract. IEEE Top Reference. 0501 BibRef

Sun, C.C., Arr, G.S., Ramachandran, R.P., Ritchie, S.G.,
Vehicle Reidentification using multidetector fusion,
ITS(5), No. 3, September 2004, pp. 155-164.
IEEE Abstract. IEEE Top Reference. 0501 BibRef

Cavallaro, A.P., Steiger, O., Ebrahimi, T.,
Tracking Video Objects in Cluttered Background,
CirSysVideo(15), No. 4, April 2005, pp. 575-584.
IEEE Abstract. IEEE Top Reference. 0501 BibRef

Greenhill, D.R., Renno, J.R., Orwell, J., Jones, G.A.,
Learning the Semantic Landscape: embedding scene knowledge in object tracking,
RealTimeImg(11), No. 3, June 2005, pp. 186-203.
WWW Version. 0508 BibRef

Greenhill, D.R., Renno, J.R., Orwell, J., Jones, G.A.,
Occlusion Analysis: Learning and Utilising Depth Maps in Object Tracking,
IVC(26), No. 3, 3 March 2008, pp. 430-441.
WWW Version. 0801 BibRef
Earlier: BMVC04(xx-yy).
HTML Version. 0508Object tracking; Occlusion analysis; Depth map BibRef

Ren, J.P., Orwell, J., Jones, G.A.,
Towards plug-and-play visual surveillance: learning tracking models,
ICIP02(III: 453-456).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Gao, J.[Jean], Kosaka, A.[Akio], Kak, A.C.[Avinash C.],
A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments,
CVIU(99), No. 1, July 2005, pp. 1-57.
WWW Version. 0506 BibRef
And: Erratum: CVIU(102), No. 3, June 2006, pp. 259.
WWW Version. BibRef
And: Corrected version: CVIU(102), No. 3, June 2006, pp. 260-316.
WWW Version. Kalman filtering; Normalized cross-correlation; Recursive motion estimation; Boundary extraction; Region growing; Human-in-the-loop segmentation 0605 BibRef

Gao, J.[Jean],
Self-occlusion immune video tracking of objects in cluttered environments,
AVSBS03(79-84).
IEEE Abstract. IEEE Top Reference. 0310 BibRef

Senior, A.[Andrew], Hampapur, A.[Arun], Tian, Y.L.[Ying-Li], Brown, L.[Lisa], Pankanti, S.[Sharath], Bolle, R.[Ruud],
Appearance Models for Occlusion Handling,
IVC(24), No. 11, 1 November 2006, pp. 1233-1243.
WWW Version. 0610 BibRef
Earlier: PETS01(xx-yy). 0110Probabilistic color appearance models; Visual vehicle and people tracking; Occlusion resolution; Moving object segmentation; Surveillance BibRef

Brown, L.M., Lu, M.[Max], Shu, C.F.[Chiao-Fe], Tian, Y.L.[Ying-Li], Hampapur, A.,
Improving Performance via Post Track Analysis,
PETS05(341-347).
IEEE DOI Reference 0602 BibRef

Xu, M.[Ming], Ellis, T.[Tim],
Augmented tracking with incomplete observation and probabilistic reasoning,
IVC(24), No. 11, 1 November 2006, pp. 1202-1217.
WWW Version. 0610Kalman filtering; Occlusion; Partial observation; BAYESIAN network BibRef

Khan, Z.[Zia], Balch, T.[Tucker], Dellaert, F.[Frank],
MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements,
PAMI(28), No. 12, December 2006, pp. 1960-1972.
IEEE DOI Reference 0611 BibRef
Earlier:
Multitarget Tracking with Split and Merged Measurements,
CVPR05(I: 605-610).
IEEE DOI Reference 0507 BibRef

Schindler, G.[Grant], Dellaert, F.[Frank],
A Rao-Blackwellized Parts-Constellation Tracker,
WDV06(178-189).
Springer DOI Reference 0705 BibRef

Lin, W.C.[Wen-Chieh], Liu, Y.X.[Yan-Xi],
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking,
PAMI(29), No. 5, May 2007, pp. 777-792.
IEEE DOI Reference 0704 BibRef
Earlier:
Tracking Dynamic Near-Regular Texture Under Occlusion and Rapid Movements,
ECCV06(II: 44-55).
Springer DOI Reference 0608 BibRef

Lin, W.C.[Wen-Chieh],
A Lattice-based MRF model for Dynamic Near-regular Texture Tracking and Manipulation,
CMU-RI-TR-05-58, December, 2005. BibRef 0512 Ph.D.Thesis.
WWW Version. BibRef

Shang, L.M.[Li-Min], Jasiobedzki, P.[Piotr], Greenspan, M.[Michael],
Model-Based Tracking by Classification in a Tiny Discrete Pose Space,
PAMI(29), No. 6, June 2007, pp. 976-989.
IEEE DOI Reference 0704 BibRef
Earlier:
Discrete pose space estimation to improve ICP-based tracking,
3DIM05(523-530).
IEEE DOI Reference 0508 BibRef
Earlier: A3, A1, A2:
Efficient Tracking with the Bounded Hough Transform,
CVPR04(I: 520-527).
IEEE Abstract. IEEE Top Reference. 0408Use known motion limits to reduce match search space. Hybrid method combines with ICP for better results. BibRef

Shang, L.M.[Li-Min], Greenspan, M.[Michael],
Pose Determination by Potential Well Space Embedding,
3DIM07(297-304).
IEEE DOI Reference 0708 BibRef

Bennett, B.[Brandon], Magee, D.R.[Derek R.], Cohn, A.G.[Anthony G.], Hogg, D.C.[David C.],
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity,
IVC(26), No. 1, 1 January 2008, pp. 67-81.
WWW Version. 0711Visual surveillance; Spatial reasoning; Temporal reasoning; Resolving ambiguity; Continuity BibRef

Ross, D.A.[David A.], Lim, J.W.[Jong-Woo], Lin, R.S.[Ruei-Sung], Yang, M.H.[Ming-Hsuan],
Incremental Learning for Robust Visual Tracking,
IJCV(77), No. 1-3, May 2008, pp. 125-141.
Springer DOI Reference 0803 BibRef
Earlier: A1, A2, A4, Only:
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update,
ECCV04(Vol II: 470-482).
WWW Version. 0405Deal with lighting changes. BibRef

Pan, J.Y.[Ji-Yan], Hu, B.[Bo], Zhang, J.Q.[Jian Qiu],
Robust and Accurate Object Tracking Under Various Types of Occlusions,
CirSysVideo(18), No. 2, February 2008, pp. 223-236.
IEEE DOI Reference 0803 BibRef
Earlier:
An Efficient Object Tracking Algorithm with Adaptive Prediction of Initial Searching Point,
PSIVT06(1113-1122).
Springer DOI Reference 0612 BibRef

Pan, J.Y.[Ji-Yan], Hu, B.[Bo],
Robust Object Tracking Against Template Drift,
ICIP07(III: 353-356).
IEEE DOI Reference 0709 BibRef
And:
Robust Occlusion Handling in Object Tracking,
OTCBVS07(1-8).
IEEE DOI Reference 0706 BibRef

Zhu, L.[Lin], Zhou, J.[Jie], Song, J.Y.[Jing-Yan],
Tracking multiple objects through occlusion with online sampling and position estimation,
PR(41), No. 8, August 2008, pp. 2447-2460.
WWW Version. 0805Multiple objects tracking; Occlusion; Online sampling; Position estimation BibRef

Imai, J.I.[Jun-Ichi], Kaneko, M.[Masahide],
Visual Tracking in Occlusion Environments by Autonomous Switching of Targets,
IEICE(E91-D), No. 1, January 2008, pp. 86-95.
WWW Version. 0801 BibRef

Hotta, K.[Kazuhiro],
A Robust Object Tracking Method under Pose Variation and Partial Occlusion,
IEICE(E89-D), No. 7, July 2006, pp. 2132-2141.
WWW Version. 0607 BibRef

Yang, T.[Tao], Li, J.[Jing], Pan, Q.[Quan], Cheng, Y.M.[Yong-Mei],
Visual Tracking With Automatic Confident Region Extraction,
IJIG(8), No. 3, July 2008, pp. 369-381. 0807 BibRef

Yang, T.[Tao], Li, S.Z.[Stan Z.], Pan, Q.[Quan], Li, J.[Jing],
Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes,
CVPR05(I: 970-975).
IEEE DOI Reference 0507 BibRef

Asadi, M., Monti, F., Regazzoni, C.S.,
Feature Classification for Robust Shape-Based Collaborative Tracking and Model Updating,
JIVP(2008), No. 2008, pp. xx-yy.
WWW Version. 0811 BibRef

Asadi, M., Regazzoni, C.S.,
A Comparison of Different Approaches to Nonlinear Shift Estimation for Object Tracking,
ICIP07(III: 221-224).
IEEE DOI Reference 0709 BibRef

Dore, A.[Alessio], Asadi, M.[Majid], Regazzoni, C.S.[Carlo S.],
Online Discriminative Feature Selection in a Bayesian Framework using Shape and Appearance,
VS08(xx-yy). 0810 BibRef

Dore, A.[Alessio], Beoldo, A.[Andrea], Regazzoni, C.S.[Carlo S.],
Multiple cue adaptive tracking of deformable objects with Particle Filter,
ICIP08(237-240).
IEEE DOI Reference 0810 BibRef

Asadi, M., Dore, A., Beoldo, A., Regazzoni, C.S.,
Tracking by using dynamic shape model learning in the presence of occlusion,
AVSBS07(230-235).
IEEE DOI Reference 0709 BibRef

Asadi, M., Beoldo, A., Regazzoni, C.S.,
A Nonlinear-Shift Approach to Object Tracking Based on Shape Information,
CIAP07(311-316).
IEEE DOI Reference 0709Apply to vehicles also. BibRef

Piva, S., Comes, L., Asadi, M., Regazzoni, C.S.,
Grouped-People Splitting Based on Face Detection and Body Proportion Constraints,
AVSBS06(24-24).
IEEE DOI Reference 0611 BibRef

Keitler, P.[Peter], Schlegel, M.[Michael], Klinker, G.[Gudrun],
Indirect Tracking to Reduce Occlusion Problems,
ISVC08(II: 224-235).
Springer DOI Reference 0812 BibRef

Campbell-West, F., Wang, H.B.[Hong-Bin], Miller, P.,
Where is It? Object Reacquisition in Surveillance Video,
IMVIP08(182-187).
IEEE DOI Reference 0809 BibRef

Ablavsky, V.[Vitaly], Thangali, A.[Ashwin], Sclaroff, S.[Stan],
Layered graphical models for tracking partially-occluded objects,
CVPR08(1-8).
IEEE DOI Reference 0806 BibRef

Joshi, N.[Neel], Avidan, S.[Shai], Matusik, W.[Wojciech], Kriegman, D.J.[David J.],
Synthetic Aperture Tracking: Tracking through Occlusions,
ICCV07(1-8).
IEEE DOI Reference 0710 BibRef

Lankton, S.[Shawn], Malcolm, J.[James], Nakhmani, A.[Arie], Tannenbaum, A.[Allen],
Tracking through changes in scale,
ICIP08(241-244).
IEEE DOI Reference 0810 BibRef

Karasev, P.[Peter], Malcolm, J.[James], Tannenbaum, A.[Allen],
Kernel-based high-dimensional histogram estimation for visual tracking,
ICIP08(2728-2731).
IEEE DOI Reference 0810 BibRef

Malcolm, J.[James], Rathi, Y.[Yogesh], Tannenbaum, A.[Allen],
Label Space: A Multi-object Shape Representation,
IWCIA08(xx-yy).
Springer DOI Reference 0804 BibRef
Earlier:
Multi-Object Tracking Through Clutter Using Graph Cuts,
NRTL07(1-5).
IEEE DOI Reference 0710 BibRef
And:
Tracking Through Clutter Using Graph Cuts,
BMVC07(xx-yy).
PDF Version. 0709 See also Graph Cut Segmentation with Nonlinear Shape Priors. BibRef

Cannons, K.[Kevin], Wildes, R.P.[Richard P.],
Spatiotemporal Oriented Energy Features for Visual Tracking,
ACCV07(I: 532-543).
Springer DOI Reference 0711Track oriented features. Especially in clutter. BibRef

Huang, Z.Q.[Zhuan Qing], Jiang, Z.[Zhuhan],
Target Positioning with Dominant Feature Elements,
CAIP07(69-76).
Springer DOI Reference 0708 BibRef

Ali, S.[Saad], Reilly, V.[Vladimir], Shah, M.[Mubarak],
Motion and Appearance Contexts for Tracking and Re-Acquiring Targets in Aerial Videos,
CVPR07(1-6).
IEEE DOI Reference 0706 BibRef

Ali, S.[Saad], Sheikh, Y.A.[Yaser A.], Hu, M.[Min], Scovanner, P.[Paul],
COCOA: Alignment, Object Detection, Object Tracking and Indexing of Aerial Videos,
Online2006,
HTML Version. See also Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras. BibRef 0600

Ali, S.[Saad], Shah, M.[Mubarak],
COCOA: Tracking in Aerial Imagery,
SPIE(nnnn), March 2006, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications, Orlando.
PDF Version. And for more details on the project. BibRef 0603

Namboodiri, V.P.[Vinay P.], Ghorawat, A.[Amit], Chaudhuri, S.[Subhasis],
Improved Kernel-Based Object Tracking Under Occluded Scenarios,
ICCVGIP06(504-515).
Springer DOI Reference 0612 BibRef

Zhou, Y.[Yan], Hu, B.[Bo], Zhang, J.Q.[Jian-Qiu],
Occlusion Detection and Tracking Method Based on Bayesian Decision Theory,
PSIVT06(474-482).
Springer DOI Reference 0612 BibRef

Latecki, L.J.[Longin Jan], Miezianko, R.[Roland],
Object Tracking with Dynamic Template Update and Occlusion Detection,
ICPR06(I: 556-560).
WWW Version. 0609 BibRef

Yin, Z.Z.[Zhao-Zheng], Collins, R.T.[Robert T.],
Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking,
CVPR08(1-8).
IEEE DOI Reference 0806 BibRef
Earlier:
Spatial Divide and Conquer with Motion Cues for Tracking through Clutter,
CVPR06(I: 570-577).
IEEE DOI Reference 0606 BibRef

Bunyak, F.[Filiz], Subramanya, S.R.,
Maintaining Trajectories of Salient Objects for Robust Visual Tracking,
ICIAR05(820-827).
Springer DOI Reference 0509 BibRef

Guha, P., Mukerjee, A., Venkatesh, K.S.,
Efficient occlusion handling for multiple agent tracking by reasoning with surveillance event primitives,
PETS05(49-56).
IEEE DOI Reference 0602 BibRef

Bartesaghi, A., Sapiro, G.,
Tracking of Moving Objects Under Severe and Total Occlusions,
ICIP05(I: 301-304).
IEEE DOI Reference 0512 BibRef

Mittrapiyanuruk, P.[Pradit], DeSouza, G.N.[Guilherme N.], Kak, A.C.[Avinash C.],
Accurate 3D Tracking of Rigid Objects with Occlusion Using Active Appearance Models,
Motion05(II: 90-95).
WWW Version. 0502 BibRef

Apostoloff, N.[Nicholas], Fitzgibbon, A.W.[Andrew W.],
Learning Spatiotemporal T-Junctions for Occlusion Detection,
CVPR05(II: 553-559).
IEEE DOI Reference 0507 BibRef

Huang, Y.[Yan], Essa, I.A.[Irfan A.],
Tracking Multiple Objects through Occlusions,
CVPR05(II: 1051-1058).
IEEE DOI Reference
WWW Version. Dataset, Actions. 0507 BibRef
And: CVPR05(II: 1182).
IEEE DOI Reference 0507 See also Georgia Tech. BibRef

Sakagaito, J.[Junya], Wada, T.[Toshikazu],
Nearest First Traversing Graph for Simultaneous Object Tracking and Recognition,
CVPR07(1-7).
IEEE DOI Reference 0706 BibRef

Wada, T.[Toshikazu], Sakagaito, J.[Junya], Kato, T.[Takekazu],
Simultaneous Object Tracking and Recognition by Nearest Neighbor Traversing Graph,
CREST05(154-161).
WWW Version. 0505 BibRef

Stauffer, C.[Chris],
Learning to Track Objects Through Unobserved Regions,
Motion05(II: 96-102).
WWW Version. 0502 BibRef

Stauffer, C.[Chris],
Learning a Factorized Segmental Representation of Far-Field Tracking Data,
EventVideo04(115).
HTML Version. 0502 BibRef

Moustakas, K., Tzovaras, D., Strintzis, M.G.,
A non causal bayesian framework for object tracking and occlusion handling for the synthesis of stereoscopic video,
3DPVT04(147-154).
IEEE Abstract. IEEE Top Reference. 0412Occlusions for gait. BibRef

Kang, J.M.[Jin-Man], Cohen, I., Medioni, G.,
Object reacquisition using invariant appearance model,
ICPR04(IV: 759-762).
IEEE DOI Reference 0409 BibRef

Chateau, T.[Thierry], Gay-Belille, V.[Vincent], Chausse, F.[Frederic], Lapresté, J.T.[Jean-Thierry],
Real-Time Tracking with Classifiers,
WDV06(218-231).
Springer DOI Reference 0705 BibRef

Chateau, T., Lapreste, J.T.,
Real time tracking with occlusion and illumination variations,
ICPR04(IV: 763-766).
IEEE DOI Reference 0409 BibRef

Chateau, T., Jurie, F., Dhome, M., Clady, X.,
Real-Time Tracking Using Wavelet Representation,
DAGM02(523 ff.).
HTML Version. 0303 BibRef

Sugaya, Y.[Yasuyuki], Kanatani, K.[Kenichi],
Extending Interrupted Feature Point Tracking for 3-D Affine Reconstruction,
ECCV04(Vol I: 310-321).
WWW Version. 0405Deal with occlusions in tracking. See also Optimizing a Triangular Mesh for Shape Reconstruction from Images. BibRef

Wildenauer, H., Melzer, T., Bischof, H.,
A gradient-based eigenspace approach to dealing with occlusions and non-gaussian noise,
ICPR02(II: 977-980).
IEEE DOI Reference 0211 BibRef

Gao, J., Kak, A.,
Multi-frame based motion estimation for semantic object tracking in the presence of occlusion,
ICIP02(III: 881-884).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Marcenaro, L., Ferrari, M., Marcbesotti, L., Regazzoni, C.S.,
Multiple object tracking under heavy occlusions by using kalman filters based on shape matching,
ICIP02(III: 341-344).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Luo, Z.[Zhongxiang], Zhuang, Y.T.[Yue-Ting], Liu, F.[Feng], Pan, Y.H.[Yun-He],
Incomplete motion feature tracking algorithm in video sequences,
ICIP02(III: 617-620).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Loutas, E., Diamantaras, K.I., Pitas, I.,
Occlusion Resistant Object Tracking,
ICIP01(II: 65-68).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

Brill, F.Z., Martin, W.N., Olson, T.J.,
Markers Elucidated and Applied in Local 3-Space,
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking Techniques, Particle Filter Techniques .