16.6.2.6 Multi-Target Tracking with Multiple Sensors, Stereo, Depth, Range

Chapter Contents (Back)
Target Tracking. Multi-Object Tracking. Multi-Target Tracking. Multi-Camera Tracking. Stereo Tracking. Depth Tracking. RGB-D Tracking. Multi-target multi-camera tracking. More the motion equation part: See also Motion Using Stereo Pairs or Depth, Multiple Cameras -- Features.

Cipolla, R.[Roberto], Masanobu, Y.[Yamamoto],
Stereoscopic Tracking of Bodies in Motion,
IVC(8), No. 1, February 1990, pp. 85-90.
Elsevier DOI BibRef 9002

Wang, L.H., Li, H.J.,
Using Range Profiles for Data Association in Multiple-Target Tracking,
AeroSys(32), No. 1, January 1996, pp. 445-450. BibRef 9601

Blair, W.D., Bar-Shalom, Y.,
Tracking Maneuvering Targets with Multiple Sensors: Does More Data Always Mean Better Estimates?,
AeroSys(32), No. 1, January 1996, pp. 450-456. See also Tracking a Maneuvering Target Using Input Estimation Versus the Interacting Multiple Model Algorithm. BibRef 9601

Zhang, Y., Leung, H., Blanchette, M., Lo, T., Litva, J.,
An Efficient Decentralized Multiradar Multitarget Tracker for Air Surveillance,
AeroSys(33), No. 4, October 1997, pp. 1357-1363. 9710
BibRef

Yankowich, S.W., Farooq, M.,
Hough Transform Based Multisensor, Multitarget, Track Initiation Technique,
OptEng(37), No. 7, July 1998, pp. 2064-2077. 9808
BibRef

Khan, S.M.[Saad M.], Shah, M.[Mubarak],
Consistent labeling of tracked objects in multiple cameras with overlapping fields of view,
PAMI(25), No. 10, October 2003, pp. 1355-1360.
IEEE Abstract. 0310
Establish correspondence between tracks in different views. Establish Field of View limits between cameras and use in the matching. BibRef

Khan, S.M.[Saad M.], Shah, M.[Mubarak],
Tracking Multiple Occluding People by Localizing on Multiple Scene Planes,
PAMI(31), No. 3, March 2009, pp. 505-519.
IEEE DOI 0902
BibRef
Earlier:
A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint,
ECCV06(IV: 133-146).
Springer DOI 0608
multi-view approach to deal with occlusions. Not tracking in a single view, but evidence from all views. Does not require fully calibrated views. BibRef

Javed, O.[Omar], Shafique, K.[Khurram], Rasheed, Z.[Zeeshan], Shah, M.[Mubarak],
Modeling inter-camera space-time and appearance relationships for tracking across non-overlapping views,
CVIU(109), No. 2, February 2008, pp. 146-162.
Elsevier DOI 0711
Multi-camera appearance models; Non-overlapping cameras; Scene analysis; Multi-camera tracking; Surveillance BibRef

Khan, S.M., Javed, O., Shah, M.,
Tracking in Uncalibrated Cameras with Overlapping Field of View,
PETS01(xx-yy). 0110
BibRef

Javed, O., Khan, S.M., Rasheed, Z., Shah, M.,
Camera Handoff Tracking in Multiple Uncalibrated Stationary Cameras,
HUMO00(113-118).
IEEE Top Reference. 0010
BibRef

Matsuyama, T.[Takashi], Ukita, N.[Norimichi],
Real-time multitarget tracking by a cooperative distributed vision system,
PIEEE(90), No. 7, July 2002, pp. 1136-1150.
IEEE DOI 0207
BibRef

Ukita, N.[Norimichi], Matsuyama, T.[Takashi],
Real-time cooperative multi-target tracking by communicating active vision agents,
CVIU(97), No. 2, February 2005, pp. 137-179.
Elsevier DOI 0412
BibRef
Earlier: ICPR02(II: 14-19).
IEEE DOI 0211
BibRef
Earlier:
Incremental Observable-area Modeling for Cooperative Tracking,
ICPR00(Vol IV: 192-196).
IEEE DOI 0009
BibRef

Ukita, N.,
Target-color learning and its detection for non-stationary scenes by nearest neighbor classification in the spatio-color space,
AVSBS05(394-399).
IEEE DOI 0602
BibRef

Lao, Y., Leung, C.H., Hung, Y.S.,
A system for matching moving vehicles across different camera sites in outdoor environments,
IJIST(15), No. 4, 2005, pp. 211-219.
DOI Link 0512
BibRef

Genovesio, A., Liedl, T., Emiliani, V., Parak, W.J., Coppey-Moisan, M., Olivo-Marin, J.C.,
Multiple Particle Tracking in 3-D+t Microscopy: Method and Application to the Tracking of Endocytosed Quantum Dots,
IP(15), No. 5, May 2006, pp. 1062-1070.
IEEE DOI 0605
Track multiple biological particles. Detect with wavelet. Track with multiple models. BibRef

Kumar, P.[Pankaj], Ranganath, S.[Surendra], Sengupta, K.[Kuntal], Huang, W.M.[Wei-Min],
Cooperative Multitarget Tracking With Efficient Split and Merge Handling,
CirSysVideo(16), No. 12, December 2006, pp. 1477-1490.
IEEE DOI 0701
See also Framework for Real-Time Behavior Interpretation From Traffic Video. BibRef

Chilgunde, A., Kumar, P.[Pankaj], Ranganath, S.[Surendra], Huang, W.M.[Wei-Min],
Multi-Camera Target Tracking in Blind Regions of Cameras with Non-overlapping Fields of View,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Zhang, W.,
A Probabilistic Approach to Tracking Moving Targets With Distributed Sensors,
SMC-A(37), No. 5, September 2007, pp. 721-731.
IEEE DOI 0710
BibRef

Yuan, C.[Chang], Medioni, G.[Gerard], Kang, J.M.[Jin-Man], Cohen, I.[Isaac],
Detecting Motion Regions in the Presence of a Strong Parallax from a Moving Camera by Multiview Geometric Constraints,
PAMI(29), No. 9, September 2007, pp. 1627-1641.
IEEE DOI 0709
BibRef
Earlier: A3, A4, A2, A1:
Detection and Tracking of Moving Objects from a Moving Platform in Presence of Strong Parallax,
ICCV05(I: 10-17).
IEEE DOI 0510
Classify into independent regions, then plane+parallax to track. BibRef

Yuan, C.[Chang], Medioni, G.[Gerard],
Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera,
CVPR07(1-8).
IEEE DOI 0706
BibRef
Earlier:
3D Reconstruction of Background and Objects Moving on Ground Plane Viewed from a Moving Camera,
CVPR06(II: 2261-2268).
IEEE DOI 0606
BibRef

Tharmarasa, R., Kirubarajan, T., Hernandez, L.,
Large-Scale Optimal Sensor Array Management for Multitarget Tracking,
SMC-C(37), No. 5, September 2007, pp. 803-814.
IEEE DOI 0710
BibRef

Tharmarasa, R., Kirubarajan, T., Peng, J., Lang, T.,
Optimization-Based Dynamic Sensor Management for Distributed Multitarget Tracking,
SMC-C(39), No. 5, September 2009, pp. 534-546.
IEEE DOI 0909
BibRef

Chen, C.H.[Chung-Hao], Yao, Y.[Yi], Page, D.L.[David L.], Abidi, B.R.[Besma R.], Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
Heterogeneous Fusion of Omnidirectional and PTZ Cameras for Multiple Object Tracking,
CirSysVideo(18), No. 8, August 2008, pp. 1052-1063.
IEEE DOI 0809
BibRef
And:
Camera Handoff with Adaptive Resource Management for Multi-camera Multi-target Surveillance,
AVSBS08(79-86).
IEEE DOI 0809
BibRef
Earlier: A2, A1, A4, A3, A4, A6:
Sensor planning for automated and persistent object tracking with multiple cameras,
CVPR08(1-8).
IEEE DOI 0806
See also Continuous camera placement using multiple objective optimisation process. BibRef

Yao, Y.[Yi], Chen, C.H.[Chung-Hao], Abidi, B.R.[Besma R.], Page, D.L.[David L.], Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
Can You See Me Now? Sensor Positioning for Automated and Persistent Surveillance,
SMC-B(40), No. 1, February 2010, pp. 101-115.
IEEE DOI 0911
BibRef
Earlier:
Sensor planning for PTZ cameras using the probability of camera overload,
ICPR08(1-5).
IEEE DOI 0812
BibRef

Chen, C.H.[Chung-Hao], Yao, Y.[Yi], Page, D.L.[David L.], Abidi, B.R.[Besma R.], Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
Camera handoff and placement for automated tracking systems with multiple omnidirectional cameras,
CVIU(114), No. 2, February 2010, pp. 179-197.
Elsevier DOI 1002
Omnidirectional camera; Consistent labeling; Camera placement; Camera handoff; Multi-object multi-camera tracking; Automated surveillance systems BibRef

Yao, Y.[Yi], Chen, C.H.[Chung-Hao], Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
Adaptive online camera coordination for multi-camera multi-target surveillance,
CVIU(114), No. 4, April 2010, pp. 463-474.
Elsevier DOI 1003
Visual surveillance; Camera selection; Camera assignment; Multiple camera surveillance; Resource management BibRef

Chen, C.H.[Chung-Hao], Yao, Y.[Yi], Page, D.L.[David L.], Abidi, B.R.[Besma R.], Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
Camera handoff with adaptive resource management for multi-camera multi-object tracking,
IVC(28), No. 6, June 2010, pp. 851-864.
Elsevier DOI 1003
Camera handoff; Multi-camera multi-object tracking; Resource management; Surveillance system BibRef

Velipasalar, S.[Senem], Schlessman, J.[Jason], Chen, C.Y.[Cheng-Yao], Wolf, W.H.[Wayne H.], Singh, J.P.[Jaswinder P.],
A Scalable Clustered Camera System for Multiple Object Tracking,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0811
BibRef

Wang, Y.L.[You-Lu], Velipasalar, S.[Senem], Casares, M.[Mauricio],
Cooperative Object Tracking and Composite Event Detection With Wireless Embedded Smart Cameras,
IP(19), No. 10, October 2010, pp. 2614-2633.
IEEE DOI 1003
BibRef
Earlier: A1, A3, A2:
Cooperative Object Tracking and Event Detection with Wireless Smart Cameras,
AVSBS09(394-399).
IEEE DOI 0909
BibRef

Casares, M.[Mauricio], Velipasalar, S.[Senem],
Adaptive Methodologies for Energy-Efficient Object Detection and Tracking With Battery-Powered Embedded Smart Cameras,
CirSysVideo(21), No. 10, October 2011, pp. 1438-1452.
IEEE DOI 1110
BibRef
Earlier:
Resource-Efficient Salient Foreground Detection for Embedded Smart Cameras by Tracking Feedback,
AVSS10(369-375).
IEEE DOI 1009
See also Light-weight salient foreground detection for embedded smart cameras. BibRef

Zheng, Y.[Yu], Ye, C.[Chuang], Velipasalar, S.[Senem], Gursoy, M.C.[M. Cenk],
Energy efficient image transmission using wireless embedded smart cameras,
AVSS14(62-67)
IEEE DOI 1411
Cameras BibRef

Cai, L.[Ling], He, L.[Lei], Xu, Y.[Yiren], Zhao, Y.M.[Yu-Ming], Yang, X.[Xin],
Multi-object detection and tracking by stereo vision,
PR(43), No. 12, December 2010, pp. 4028-4041.
Elsevier DOI 1003
Stereo vision; Kernel density estimation; Multi-object detection and tracking; Clustering BibRef

Huang, C.M.[Cheng-Ming], Fu, L.C.[Li-Chen],
Multitarget Visual Tracking Based Effective Surveillance With Cooperation of Multiple Active Cameras,
SMC-B(41), No. 1, February 2011, pp. 234-247.
IEEE DOI 1102
BibRef

Zhang, Q.[Qian], Ngan, K.N.[King Ngi],
Segmentation and Tracking Multiple Objects Under Occlusion From Multiview Video,
IP(20), No. 11, November 2011, pp. 3308-3313.
IEEE DOI 1110
BibRef

Zhang, Q.[Qian], Ngan, K.N.[King Ngi],
Multi-view video based multiple objects segmentation using graph cut and spatiotemporal projections,
JVCIR(21), No. 5-6, July-August 2010, pp. 453-461.
Elsevier DOI 1007
Multi-view pre-processing; Depth reconstruction; Saliency model; Object extraction; Graph cut; Spatiotemporal projections; Multi-view segmentation; Multi-view video BibRef

Wei, W.[Wei], Ngan, K.N.,
Integration of motion and image features for automatic video object segmentation,
ICIP04(I: 361-364).
IEEE DOI 0505
BibRef

Berclaz, J.[Jerome], Fleuret, F.[Francois], Turetken, E.[Engin], Fua, P.[Pascal],
Multiple Object Tracking Using K-Shortest Paths Optimization,
PAMI(33), No. 9, September 2011, pp. 1806-1819.
IEEE DOI 1109
Track and link across frames to fill in gaps of trajectories. Linking as a convex flow optimization problem. See also Multicamera People Tracking with a Probabilistic Occupancy Map. BibRef

Wang, X.C.[Xin-Chao], Türetken, E.[Engin], Fleuret, F.[François], Fua, P.[Pascal],
Tracking Interacting Objects Using Intertwined Flows,
PAMI(38), No. 11, November 2016, pp. 2312-2326.
IEEE DOI 1610
BibRef
Earlier:
Tracking Interacting Objects Optimally Using Integer Programming,
ECCV14(I: 17-32).
Springer DOI 1408
Automobiles BibRef

Ben Shitrit, H.[Horesh], Berclaz, J.[Jerome], Fleuret, F.[Francois], Fua, P.[Pascal],
Tracking multiple people under global appearance constraints,
ICCV11(137-144).
IEEE DOI 1201
BibRef

Roig, G.[Gemma], Boix, X.[Xavier], Ben Shitrit, H.[Horesh], Fua, P.[Pascal],
Conditional Random Fields for multi-camera object detection,
ICCV11(563-570).
IEEE DOI 1201
BibRef

Berclaz, J.[Jerome], Fleuret, F.[Francois], Fua, P.[Pascal],
Multiple object tracking using flow linear programming,
PETS-Winter09(1-8).
IEEE DOI 0912
BibRef

Xiong, Z.H., Cheng, I., Chen, W., Basu, A., Zhang, M.J.,
Depth space partitioning for omni-stereo object tracking,
IET-CV(6), No. 2, 2012, pp. 153-163.
DOI Link 1204
BibRef

Zhu, J.[Junda], Yuan, L.[Liang], Zheng, Y.F., Ewing, R.L.,
Stereo Visual Tracking Within Structured Environments for Measuring Vehicle Speed,
CirSysVideo(22), No. 10, October 2012, pp. 1471-1484.
IEEE DOI 1210
BibRef

Gedik, O.S.[O. Serdar], Alatan, A.A.[A. Aydin],
3-D Rigid Body Tracking Using Vision and Depth Sensors,
Cyber(43), No. 5, 2013, pp. 1395-1405.
IEEE DOI 1309
Cameras BibRef

Gostar, A.K., Hoseinnezhad, R., Bab-Hadiashar, A.,
Robust Multi-Bernoulli Sensor Selection for Multi-Target Tracking in Sensor Networks,
SPLetters(20), No. 12, 2013, pp. 1167-1170.
IEEE DOI 1311
distributed sensors BibRef

Wang, H.Y.[Hui-Yan], Wang, X.[Xun], Zheng, J.[Jia], Deller, J.R.[John Robert], Peng, H.[Haoyu], Zhu, L.Q.[Le-Qing], Chen, W.G.[Wei-Gang], Li, X.L.[Xiao-Lan], Liu, R.[Riji], Bao, H.J.[Hu-Jun],
Video object matching across multiple non-overlapping camera views based on multi-feature fusion and incremental learning,
PR(47), No. 12, 2014, pp. 3841-3851.
Elsevier DOI 1410
Video object matching BibRef

Zini, L.[Luca], Odone, F.[Francesca], Cavallaro, A.,
Multiview Matching of Articulated Objects,
CirSysVideo(24), No. 11, November 2014, pp. 1920-1934.
IEEE DOI 1411
geometry BibRef

Koo, S.Y.[Seong-Yong], Lee, D.H.[Dong-Heui], Kwon, D.S.[Dong-Soo],
Incremental object learning and robust tracking of multiple objects from RGB-D point set data,
JVCIR(25), No. 1, 2014, pp. 108-121.
Elsevier DOI 1502
Multiple objects tracking BibRef

Zhang, S.[Shu], Zhu, Y.Y.[Ying-Ying], Roy-Chowdhury, A.[Amit],
Tracking multiple interacting targets in a camera network,
CVIU(134), No. 1, 2015, pp. 64-73.
Elsevier DOI 1504
Multi-camera tracking BibRef

Fantacci, C., Papi, F.,
Scalable Multisensor Multitarget Tracking Using the Marginalized delta-GLMB Density,
SPLetters(23), No. 6, June 2016, pp. 863-867.
IEEE DOI 1606
approximation theory BibRef

Choi, J.[Jaebum], Maurer, M.[Markus],
Local Volumetric Hybrid-Map-Based Simultaneous Localization and Mapping With Moving Object Tracking,
ITS(17), No. 9, September 2016, pp. 2440-2455.
IEEE DOI 1609
Adaptation models. Using a Velodyne laser scanner. BibRef

Mikesell, D.[Derek], Griffin, C.[Christopher],
Optimal Decision-Making in an Opportunistic Sensing Problem,
Cyber(46), No. 12, December 2016, pp. 3285-3293.
IEEE DOI 1612
Optimization. Finite set of moving objects. BibRef

Wen, L.Y.[Long-Yin], Lei, Z.[Zhen], Chang, M.C.[Ming-Ching], Qi, H.G.[Hong-Gang], Lyu, S.W.[Si-Wei],
Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph,
IJCV(122), No. 2, April 2017, pp. 313-333.
Springer DOI 1704
BibRef

Previtali, F.[Fabio], Bloisi, D.D.[Domenico D.], Iocchi, L.[Luca],
A distributed approach for real-time multi-camera multiple object tracking,
MVA(28), No. 3-4, May 2017, pp. 421-430.
WWW Link. 1704
BibRef


An, N.[Ning], Zhao, X.G.[Xiao-Guang], Hou, Z.G.[Zeng-Guang],
Online RGB-D tracking via detection-learning-segmentation,
ICPR16(1231-1236)
IEEE DOI 1705
Adaptation models, Computational modeling, Histograms, Image color analysis, Solid modeling, Target tracking, Three-dimensional, displays BibRef

Leal-Taixé, L.[Laura], Canton-Ferrer, C., Schindler, K.[Konrad],
Learning by Tracking: Siamese CNN for Robust Target Association,
DeepLearn-C16(418-425)
IEEE DOI 1612
BibRef

Sekii, T.[Taiki],
Robust, Real-Time 3D Tracking of Multiple Objects with Similar Appearances,
CVPR16(4275-4283)
IEEE DOI 1612
BibRef

Dayangac, E.[Enes], Baumann, F.[Florian], Aulinas, J.[Josep], Zobel, M.[Matthias],
Target Position and Speed Estimation Using LiDAR,
ICIAR16(470-477).
Springer DOI 1608
BibRef

Kerl, C., Stickler, J., Cremers, D.,
Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras,
ICCV15(2264-2272)
IEEE DOI 1602
Cameras BibRef

Tan, D.J., Tombari, F., Ilic, S.[Slobodan], Navab, N.[Nassir],
A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online,
ICCV15(693-701)
IEEE DOI 1602
Cameras BibRef

Camplani, M.[Massimo], Hannuna, S.[Sion], Mirmehdi, M.[Majid], Damen, D.[Dima], Paiement, A.[Adeline], Tao, L.[Lili], Burghardt, T.[Tilo],
Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Byeon, M.[Moonsub], Oh, S.H.[Song-Hwai], Kim, K.[Kikyung], Yoo, H.J.[Haan-Ju], Choi, J.Y.[Jin Young],
Efficient Spatio-Temporal Data Association Using Multidimensional Assignment in Multi-Camera Multi-Target Tracking,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Zhao, M.Y.[Meng-Yuan], Luo, H.[Heng], Tafti, A.P.[Ahmad P.], Lin, Y.C.[Yuan-Chang], He, G.T.[Guo-Tian],
A Hybrid Real-Time Visual Tracking Using Compressive RGB-D Features,
ISVC15(I: 561-573).
Springer DOI 1601
BibRef

Zhou, Q.Y.[Qian-Yi], Koltun, V.[Vladlen],
Depth camera tracking with contour cues,
CVPR15(632-638)
IEEE DOI 1510
BibRef

Gao, S.[Shan], Han, Z.J.[Zhen-Jun], Doermann, D.S.[David S.], Jiao, J.B.[Jian-Bin],
Depth Structure Association for RGB-D Multi-target Tracking,
ICPR14(4152-4157)
IEEE DOI 1412
Cameras;Optimization;Sensors;Target tracking;Trajectory;Videos BibRef

Yoon, Y.[Youngwoo], Yun, W.H.[Woo-Han], Yoon, H.[Hosub], Kim, J.[Jaehong],
Real-Time Visual Target Tracking in RGB-D Data for Person-Following Robots,
ICPR14(2227-2232)
IEEE DOI 1412
Cameras BibRef

Topcu, O.[Osman], Alatan, A.A.[A. Aydin], Ercan, A.O.[Ali Ozer],
Occlusion-aware 3D multiple object tracker with two cameras for visual surveillance,
AVSS14(56-61)
IEEE DOI 1411
Atmospheric measurements BibRef

Ataer-Cansizoglu, E., Taguchi, Y., Ramalingam, S., Garaas, T.,
Tracking an RGB-D Camera Using Points and Planes,
CDC4CV13(51-58)
IEEE DOI 1403
SLAM (robots) BibRef

Evans, M.[Murray], Osborne, C.J.[Christopher J.], Ferryman, J.M.[James M.],
Multicamera object detection and tracking with object size estimation,
AVSS13(177-182)
IEEE DOI 1311
BibRef
Earlier: A1, A3, Only:
Group stochastic search for object detection and tracking,
AVSBS05(153-158).
IEEE DOI 0602
Calibration BibRef

Ye, Y.[Yun], Ci, S.[Song], Liu, Y.W.[Yan-Wei],
Computation scalable disparity estimation for delay sensitive 3D video surveillance system,
AVSS14(210-215)
IEEE DOI 1411
Accuracy See also SSIM-based error-resilient rate-distortion optimization of H.264/AVC video coding for wireless streaming. BibRef

Ye, Y.[Yun], Ci, S.[Song], Liu, Y.W.[Yan-Wei], Wang, H.H.[Hao-Hong], Katsaggelos, A.K.,
Binocular video object tracking with fast disparity estimation,
AVSS13(183-188)
IEEE DOI 1311
estimation theory See also wireless video surveillance system with an active camera, A. BibRef

Klodt, M.[Maria], Sturm, J.[Jürgen], Cremers, D.[Daniel],
Scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images,
GCPR13(111-120).
Springer DOI 1311
BibRef

Dondi, P.[Piercarlo], Lombardi, L.[Luca], Cinque, L.[Luigi],
Multisubjects Tracking by Time-of-Flight Camera,
CIAP13(I:692-701).
Springer DOI 1311
BibRef

Possegger, H.[Horst], Sternig, S.[Sabine], Mauthner, T.[Thomas], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities,
CVPR13(2395-2402)
IEEE DOI 1309
Multiple Camera; Multiple Object; Occupancy Volume; Tracking BibRef

Frey, N.[Nathan], Antone, M.[Matthew],
Grouping Crowd-Sourced Mobile Videos for Cross-Camera Tracking,
CNWASA13(800-807)
IEEE DOI 1309
Computer Vision BibRef

Daliyot, S.[Shahar], Netanyahu, N.S.[Nathan S.],
A Framework for Inter-camera Association of Multi-target Trajectories by Invariant Target Models,
DTCE12(II:372-386).
Springer DOI 1304
BibRef

Oumer, N.W.[Nassir W.], Panin, G.[Giorgio],
3D point tracking and pose estimation of a space object using stereo images,
ICPR12(796-800).
WWW Link. 1302
BibRef

Chen, F.[Fan], de Vleeschouwer, C.[Christophe],
Partial motion trajectory grouping through rooted arborescence,
ICIP12(1337-1340).
IEEE DOI 1302
tracking multiple deformable objects in multiple views. BibRef

Chantas, G.[Giannis], Nikolaidis, N.[Nikos], Pitas, I.[Ioannis],
Variational Bayesian inference for forward-backward visual tracking in stereo sequences,
ICIP12(1369-1372).
IEEE DOI 1302
BibRef

Yu, Y.[Yinan], Ren, W.Q.[Wei-Qiang], Huang, Y.Z.[Yong-Zhen], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
CLUMOC: Multiple Motion Estimation by Cluster Motion Consensus,
AVSS12(172-177).
IEEE DOI 1211
BibRef

Liu, Y.[Ye], Li, H.[Hui], Chen, Y.Q.[Yan Qiu],
Automatic Tracking of a Large Number of Moving Targets in 3D,
ECCV12(IV: 730-742).
Springer DOI 1210
BibRef

Elhayek, A., Stoll, C., Hasler, N., Kim, K.I., Seidel, H.P., Theobalt, C.,
Spatio-temporal motion tracking with unsynchronized cameras,
CVPR12(1870-1877).
IEEE DOI 1208
BibRef

Leal-Taixe, L.[Laura], Pons-Moll, G.[Gerard], Rosenhahn, B.[Bodo],
Branch-and-price global optimization for multi-view multi-target tracking,
CVPR12(1987-1994).
IEEE DOI 1208
BibRef

Sternig, S.[Sabine], Mauthner, T.[Thomas], Irschara, A.[Arnold], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Multi-camera multi-object tracking by robust hough-based homography projections,
VS11(1689-1696).
IEEE DOI 1201
BibRef

Chen, K.Y.[Ke-Yin], Huang, C.L.[Chung-Lin], Hsu, S.C.[Shih-Chung], Chang, I.C.[I-Cheng],
Multiple Objects Tracking across Multiple Non-Overlapped Views,
PSIVT11(II: 128-140).
Springer DOI 1111
BibRef

Saha, S.K.[Sajib Kumar], Rudakova, V.[Victoria], Cheikh, F.A.[Faouzi Alaya],
Collaborative cameras for multi-target tracking using color based particle filter and object contour,
EUVIP11(138-142).
IEEE DOI 1110
BibRef

Chen, B.J.[Bor-Jeng], Medioni, G.[Gerard],
3-D Mediated Detection and Tracking in Wide Area Aerial Surveillance,
WACV15(396-403)
IEEE DOI 1503
Cameras BibRef

Prokaj, J.[Jan], Medioni, G.[Gerard],
Persistent Tracking for Wide Area Aerial Surveillance,
CVPR14(1186-1193)
IEEE DOI 1409
BibRef
Earlier:
Accurate efficient mosaicking for Wide Area Aerial Surveillance,
WACV12(273-280).
IEEE DOI 1203
regression; target tracking; wide area imagery BibRef

Prokaj, J.[Jan], Zhao, X.[Xuemei], Medioni, G.[Gerard],
Tracking many vehicles in wide area aerial surveillance,
CNWASA12(37-43).
IEEE DOI 1207
BibRef

Prokaj, J.[Jan], Medioni, G.[Gerard],
Using 3D scene structure to improve tracking,
CVPR11(1337-1344).
IEEE DOI 1106
BibRef

Prokaj, J.[Jan], Duchaineau, M.[Mark], Medioni, G.[Gerard],
Inferring tracklets for multi-object tracking,
WAVP11(37-44).
IEEE DOI 1106
BibRef

Albrecht, T.[Thomas], West, G.A.W.[Geoff A. W.], Tan, T.L.[Te-Le], Ly, T.[Thanh],
Visual Maritime Attention Using Multiple Low-Level Features and Naïve Bayes Classification,
DICTA11(243-249).
IEEE DOI 1205
BibRef
Earlier:
Multiple Views Tracking of Maritime Targets,
DICTA10(302-307).
IEEE DOI 1012
BibRef

Leal-Taixé, L.[Laura], Heydt, M.[Matthias], Rosenhahn, A.[Axel], Rosenhahn, B.[Bodo],
Understanding What we Cannot See: Automatic Analysis of 4D Digital In-Line Holographic Microscopy Data,
CompVideo10(52-76).
Springer DOI 1111
BibRef

Leal-Taixé, L.[Laura], Heydt, M.[Matthias], Weiße, S.[Sebastian], Rosenhahn, A.[Axel], Rosenhahn, B.[Bodo],
Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data,
DAGM10(283-292).
Springer DOI 1009
BibRef

Leal-Taixé, L.[Laura], Heydt, M.[Matthias], Rosenhahn, A.[Axel], Rosenhahn, B.[Bodo],
Automatic tracking of swimming microorganisms in 4D digital in-line holography data,
WMVC09(1-8).
IEEE DOI 0912
BibRef

Poon, H.S.[Ho Shan], Mai, F.[Fei], Hung, Y.S.[Yeung Sam], Chesi, G.[Graziano],
Robust Detection and Tracking of Multiple Moving Objects with 3D Features by an Uncalibrated Monocular Camera,
MIRAGE09(140-149).
Springer DOI 0905
BibRef

Osawa, T.[Tatsuya], Sudo, K.[Kyoko], Arai, H.[Hiroyuki], Koike, H.[Hideki],
Monocular 3D tracking of multiple interacting targets,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Taiana, M., Nascimento, J.C., Gaspar, J., Bernardino, A.,
Sample-Based 3D Tracking of Colored Objects: A Flexible Architecture,
BMVC08(xx-yy).
PDF File. 0809
BibRef

Krahnstoever, N.O.[Nils O.], Yu, T.[Ting], Lim, S.N.[Ser-Nam], Patwardhan, K.[Kedar], Tu, P.H.[Peter H.],
Collaborative Real-Time Control of Active Cameras in Large-Scale Surveillance Systems.,
M2SFA208(xx-yy). 0810
BibRef

Li, G.[Gang], Tsin, Y.H.[Yang-Hai], Genc, Y.[Yakup],
Exploiting Occluding Contours for Real-Time 3D Tracking: A Unified Approach,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Pham, N.T.[Nam Trung], Huang, W.M.[Wei-Min], Ong, S.H.,
Probability Hypothesis Density Approach for Multi-camera Multi-object Tracking,
ACCV07(I: 875-884).
Springer DOI 0711
BibRef

Wu, Z.[Zheng], Hristov, N.I.[Nickolay I.], Hedrick, T.L.[Tyson L.], Kunz, T.H.[Thomas H.], Betke, M.[Margrit],
Tracking a Large Number of Objects from Multiple Views,
ICCV09(1546-1553).
IEEE DOI 0909
BibRef

Wu, Z.[Zheng], Hristov, N.I.[Nickolay I.], Kunz, T.H.[Thomas H.], Betke, M.[Margrit],
Tracking-reconstruction or reconstruction-tracking? Comparison of two multiple hypothesis tracking approaches to interpret 3D object motion from several camera views,
WMVC09(1-8).
IEEE DOI 0912
BibRef

Devernay, F.[Frederic], Mateus, D.[Diana], Guilbert, M.[Matthieu],
Multi-Camera Scene Flow by Tracking 3-D Points and Surfels,
CVPR06(II: 2203-2212).
IEEE DOI 0606
BibRef

Perera, A.G.A.[A. G. Amitha], Srinivas, C.[Chukka], Hoogs, A.J.[Anthony J.], Brooksby, G.[Glen], Hu, W.S.[Wen-Sheng],
Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions,
CVPR06(I: 666-673).
IEEE DOI 0606
BibRef

Sanders-Reed, J.N., Duncan, M.J., Boucher, W.M., Dimmler, W.M., O'Keefe, S.,
Multi-Target Tracking in Clutter,
SPIE(4724), April, 2002, pp. xx-yy.
PDF File. BibRef 0204

Kang, J.M.[Jin-Man], Cohen, I.[Isaac], Medioni, G.[Gérard],
Persistent Objects Tracking Across Multiple Non Overlapping Cameras,
Motion05(II: 112-119).
IEEE DOI 0502
BibRef
Earlier:
Continuous tracking within and across camera streams,
CVPR03(I: 267-272).
IEEE DOI 0307
BibRef

Ichimura, N.[Naoyuki],
Token Grouping Based on 3d Motion and Feature Selection in Object Tracking,
ICPR00(Vol III: 1118-1124).
IEEE DOI 0009
BibRef

Marcenaro, L., Oberti, F., Regazzoni, C.S.,
Multiple Objects Colour-Based Tracking using Multiple Cameras in Complex Time-Varying Outdoor Scenes,
PETS01(xx-yy). 0110
BibRef

Kung, S.Y., Taur, J.S., Chiu, M.Y.,
An SVD approach to multi-camera-multi-target 3-D motion-shape analysis,
ICIP94(I: 573-577).
IEEE DOI 9411
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Mean-Shift Tracking Techniques .


Last update:Jul 15, 2017 at 20:56:55