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
Belhumeur, P.N.[Peter N.],
Hager, G.D.[Gregory D.],
Tracking in 3D: Image Variability Decomposition for Recovering Object
Pose and Illumination,
PAA(2), No. 1, 1999, pp. 82-91.
See also Efficient Region Tracking with Parametric Models of Geometry and Illumination.
BibRef
9900
Lu, L.[Le],
Hager, G.D.[Gregory D.],
A Nonparametric Treatment for Location/Segmentation Based Visual
Tracking,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Ozyildiz, E.[Ercan],
Krahnstoever, N.O.[Nils O.],
Sharma, R.[Rajeev],
Adaptive texture and color segmentation for tracking moving objects,
PR(35), No. 10, October 2002, pp. 2013-2029.
Elsevier DOI
0206
BibRef
Krahnstoever, N.O.,
Sharma, R.,
Appearance management and cue fusion for 3D model-based tracking,
CVPR03(II: 249-254).
IEEE DOI
0307
BibRef
Krahnstoever, N.O.,
Sharma, R.,
Robust probabilistic estimation of uncertain appearance for model-based
tracking,
Motion02(28-33).
IEEE DOI
0303
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, C.[Can],
Liu, H.[Hong],
Gao, Y.,
Scene-Adaptive Hierarchical Data Association for Multiple Objects
Tracking,
SPLetters(21), No. 6, June 2014, pp. 697-701.
IEEE DOI
1404
BibRef
Earlier: A2, A1, Only:
Hierarchical data association and depth-invariant appearance model
for indoor multiple objects tracking,
ICIP13(2635-2639)
IEEE DOI
1402
Appearance Model; Data Association; Multiple Objects Tracking; RGB-D
BibRef
Wang, G.F.[Guo-Feng],
Wang, B.[Bin],
Zhong, F.[Fan],
Qin, X.Y.[Xue-Ying],
Chen, B.Q.[Bao-Quan],
Global optimal searching for textureless 3D object tracking,
VC(31), No. 6-8, June 2015, pp. 979-988.
WWW Link.
1506
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
Maksai, A.,
Wang, X.C.[Xin-Chao],
Fleuret, F.[Francois],
Fua, P.[Pascal],
Non-Markovian Globally Consistent Multi-object Tracking,
ICCV17(2563-2573)
IEEE DOI
1802
Markov processes, image segmentation,
learning (artificial intelligence), object detection,
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.[Amirali Khodadadian],
Hoseinnezhad, R.[Reza],
Bab-Hadiashar, A.[Alireza],
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
Ishtiaq, N.[Nida],
Gostar, A.K.[Amirali Khodadadian],
Bab-Hadiashar, A.[Alireza],
Hoseinnezhad, R.[Reza],
Interaction-Aware Labeled Multi-Bernoulli Filter,
ITS(24), No. 11, November 2023, pp. 11668-11681.
IEEE DOI
2311
BibRef
Muthu, S.,
Tennakoon, R.,
Rathnayake, T.,
Hoseinnezhad, R.,
Suter, D.,
Bab-Hadiashar, A.,
Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion
Information Using Statistical Inference,
IP(29), 2020, pp. 5557-5570.
IEEE DOI
2005
Motion segmentation, Tracking, Semantics,
Data models, Dynamics,
Kolmogorov-Smirnov test
BibRef
Wang, H.Y.[Hui-Yan],
Wang, X.[Xun],
Zheng, J.[Jia],
Deller, J.R.[John Robert],
Peng, H.Y.[Hao-Yu],
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
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.K.[Amit K.],
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],
3D Tracker-Level Fusion for Robust RGB-D Tracking,
IEICE(E100-D), No. 8, August 2017, pp. 1870-1881.
WWW Link.
1708
BibRef
Wang, K.,
Zhang, G.,
Xia, S.,
Templateless Non-Rigid Reconstruction and Motion Tracking With a
Single RGB-D Camera,
IP(26), No. 12, December 2017, pp. 5966-5979.
IEEE DOI
1710
image reconstruction, 3D model sequence,
local-to-global hierarchical optimization framework,
loop motion sequences, motion tracking, single RGB-D camera,
BibRef
Crivellaro, A.[Alberto],
Rad, M.,
Verdie, Y.,
Yi, K.M.,
Fua, P.,
Lepetit, V.[Vincent],
Robust 3D Object Tracking from Monocular Images Using Stable Parts,
PAMI(40), No. 6, June 2018, pp. 1465-1479.
IEEE DOI
1805
BibRef
Earlier:
A Novel Representation of Parts for Accurate 3D Object Detection and
Tracking in Monocular Images,
ICCV15(4391-4399)
IEEE DOI
1602
Augmented reality, Object detection, Robustness, Training, 3D tracking
BibRef
Crivellaro, A.[Alberto],
Lepetit, V.[Vincent],
Robust 3D Tracking with Descriptor Fields,
CVPR14(3414-3421)
IEEE DOI
1409
3D Tracking; Dense Descriptor; Image Registration; Specular Environment
BibRef
Byeon, M.[Moonsub],
Yoo, H.[Haanju],
Kim, K.[Kikyung],
Oh, S.H.[Song-Hwai],
Choi, J.Y.[Jin Young],
Unified optimization framework for localization and tracking of
multiple targets with multiple cameras,
CVIU(166), No. 1, 2018, pp. 51-65.
Elsevier DOI
1712
BibRef
Earlier: A1, A4, A3, A2, A5:
Efficient Spatio-Temporal Data Association Using Multidimensional
Assignment in Multi-Camera Multi-Target Tracking,
BMVC15(xx-yy).
DOI Link
1601
Multiple target tracking
BibRef
Kim, K.[Kikyung],
Heo, B.[Byeongho],
Byeon, M.[Moonsub],
Choi, J.Y.[Jin Young],
Deep learning architecture for pedestrian 3-D localization and
tracking using multiple cameras,
ICIP17(1147-1151)
IEEE DOI
1803
Cameras, Feature extraction, Grounding, Indexes, Mathematical model,
Proposals, Training, 3-D localization, deep-learning,
pedestrian detection
BibRef
Fantacci, C.,
Vo, B.N.,
Vo, B.T.,
Battistelli, G.,
Chisci, L.,
Robust Fusion for Multisensor Multiobject Tracking,
SPLetters(25), No. 5, May 2018, pp. 640-644.
IEEE DOI
1805
multi-agent systems, object tracking, optimisation, sensor fusion,
statistical distributions, stochastic processes,
random finite set (RFS)
BibRef
An, J.,
Lee, J.,
Jeong, J.,
Ihm, I.,
Tracking an RGB-D Camera on Mobile Devices Using an Improved
Frame-to-Frame Pose Estimation Method,
WACV18(1142-1150)
IEEE DOI
1806
computational complexity, distance measurement, error correction,
image colour analysis, mobile computing, object tracking,
BibRef
Yoon, K.J.[Kwang-Jin],
Song, Y.M.[Young-Min],
Jeon, M.[Moongu],
Multiple hypothesis tracking algorithm for multi-target multi-camera
tracking with disjoint views,
IET-IPR(12), No. 7, July 2018, pp. 1175-1184.
DOI Link
1806
BibRef
Xiao, J.,
Stolkin, R.,
Gao, Y.,
Leonardis, A.,
Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using
Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency
Constraints,
Cyber(48), No. 8, August 2018, pp. 2485-2499.
IEEE DOI
1808
feature extraction, image colour analysis, image fusion,
image motion analysis, image sensors, image sequences,
RGB-D tracking
BibRef
Wang, J.C.[Jun-Chen],
Ji, X.Q.[Xu-Quan],
Zhang, X.H.[Xiao-Hui],
Sun, Z.[Zhen],
Wang, T.M.[Tian-Miao],
Real-time robust individual X point localization for stereoscopic
tracking,
PRL(112), 2018, pp. 138-144.
Elsevier DOI
1809
x point, Feature detection, Support vector machine,
Localization, Stereoscopic tracking
BibRef
Zhong, L.S.[Lei-Sheng],
Lu, M.[Ming],
Zhang, L.[Li],
A Direct 3D Object Tracking Method Based on Dynamic Textured Model
Rendering and Extended Dense Feature Fields,
CirSysVideo(28), No. 9, September 2018, pp. 2302-2315.
IEEE DOI
1809
6DoF rigid objects.
Solid modeling, Object tracking, Rendering (computer graphics),
Lighting, Robustness, Optimization, occlusion detection
BibRef
Tesfaye, Y.T.[Yonatan Tariku],
Zemene, E.[Eyasu],
Prati, A.[Andrea],
Pelillo, M.[Marcello],
Shah, M.[Mubarak],
Multi-target Tracking in Multiple Non-overlapping Cameras Using
Fast-Constrained Dominant Sets,
IJCV(127), No. 9, September 2019, pp. 1303-1320.
Springer DOI
1908
See also Multi-object tracking using dominant sets.
BibRef
Hannuna, S.[Sion],
Camplani, M.[Massimo],
Hall, J.[Jake],
Mirmehdi, M.[Majid],
Damen, D.[Dima],
Burghardt, T.[Tilo],
Paiement, A.[Adeline],
Tao, L.[Lili],
DS-KCF: a real-time tracker for RGB-D data,
RealTimeIP(16), No. 5, October 2019, pp. 1439-1458.
Springer DOI
1911
BibRef
Tian, S.J.[Sheng-Jing],
Liu, X.P.[Xiu-Ping],
Liu, M.[Meng],
Bian, Y.H.[Yu-Hao],
Gao, J.B.[Jun-Bin],
Yin, B.C.[Bao-Cai],
Learning the Incremental Warp for 3D Vehicle Tracking in LiDAR Point
Clouds,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
You, S.[Sisi],
Yao, H.T.[Han-Tao],
Xu, C.S.[Chang-Sheng],
Multi-Target Multi-Camera Tracking With Optical-Based Pose
Association,
CirSysVideo(31), No. 8, August 2021, pp. 3105-3117.
IEEE DOI
2108
Target tracking, Trajectory, Cameras, Visualization,
Feature extraction, Proposals, Object detection,
pose matching
BibRef
You, S.[Sisi],
Yao, H.T.[Han-Tao],
Xu, C.S.[Chang-Sheng],
Multi-Object Tracking With Spatial-Temporal Topology-Based Detector,
CirSysVideo(32), No. 5, May 2022, pp. 3023-3035.
IEEE DOI
2205
Target tracking, Topology, Tracking, Detectors, Visualization,
Trajectory, Proposals, Multi-object tracking,
temporal topology constraint
BibRef
Hou, Y.Z.[Yun-Zhong],
Wang, Z.D.[Zhong-Dao],
Wang, S.J.[Sheng-Jin],
Zheng, L.[Liang],
Adaptive Affinity for Associations in Multi-Target Multi-Camera
Tracking,
IP(31), 2022, pp. 612-622.
IEEE DOI
2112
Cameras, Target tracking, Estimation, Trajectory, Measurement,
Optimization, Costs, Multi-target multi-camera tracking,
re-identification
BibRef
Duan, C.D.[Chong-Di],
Li, Y.[Yu],
Wang, W.W.[Wei-Wei],
Li, J.G.[Jian-Guo],
LEO-Based Satellite Constellation for Moving Target Detection,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Zhu, Y.B.[Ya-Bin],
Li, C.L.[Cheng-Long],
Tang, J.[Jin],
Luo, B.[Bin],
Wang, L.[Liang],
RGBT Tracking by Trident Fusion Network,
CirSysVideo(32), No. 2, February 2022, pp. 579-592.
IEEE DOI
2202
Feature extraction, Convolution, Target tracking, Training,
Aggregates, Visualization, Benchmark testing, RGBT tracking,
trident architecture
BibRef
Cao, Y.[Yu],
Su, X.Q.[Xiu-Qin],
Qian, X.M.[Xue-Ming],
Wang, H.T.[Hai-Tao],
Hao, W.[Wei],
Xie, M.[Meilin],
Feng, X.B.[Xu-Bin],
Han, J.F.[Jun-Feng],
Chen, M.L.[Ming-Liang],
Wang, C.L.[Cheng-Long],
A Tracking Imaging Control Method for Dual-FSM 3D GISC LiDAR,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
Target tracking in LiDAR
BibRef
Cao, Y.[Yu],
Xie, M.[Meilin],
Wang, H.T.[Hai-Tao],
Hao, W.[Wei],
Guo, M.[Min],
Jiang, K.[Kai],
Wang, L.[Lei],
Guo, S.[Shan],
Wang, F.[Fan],
A Dual-FSM GI LiDAR Imaging Control Method Based on Two-Dimensional
Flexible Turntable Composite Axis Tracking,
RS(16), No. 10, 2024, pp. 1679.
DOI Link
2405
BibRef
Liang, S.[Shuang],
Zhu, Y.[Yun],
Li, H.[Hao],
Yan, J.[Junkun],
Evolutionary Computational Intelligence-Based Multi-Objective Sensor
Management for Multi-Target Tracking,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Luo, Z.P.[Zhi-Peng],
Zhou, C.Q.[Chang-Qing],
Pan, L.[Liang],
Zhang, G.J.[Gong-Jie],
Liu, T.R.[Tian-Rui],
Luo, Y.[Yueru],
Zhao, H.[Haiyu],
Liu, Z.W.[Zi-Wei],
Lu, S.J.[Shi-Jian],
Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking With
Transformer,
PAMI(46), No. 9, September 2024, pp. 5921-5935.
IEEE DOI
2408
Point cloud compression, Transformers, Object tracking,
Task analysis, Feature extraction, Autonomous vehicles,
vision transformer
BibRef
Zhou, C.Q.[Chang-Qing],
Luo, Z.P.[Zhi-Peng],
Luo, Y.[Yueru],
Liu, T.R.[Tian-Rui],
Pan, L.[Liang],
Cai, Z.G.[Zhon-Gang],
Zhao, H.[Haiyu],
Lu, S.J.[Shi-Jian],
PTTR: Relational 3D Point Cloud Object Tracking with Transformer,
CVPR22(8521-8530)
IEEE DOI
2210
Point cloud compression, Codes, Navigation, Transformers,
Search problems, 3D from multi-view and sensors,
Navigation and autonomous driving
BibRef
Wang, P.[Peng],
Zhang, X.B.[Xia-Bing],
Three-Dimensional Space-and-Time-Synchronized Target-Tracking Control
Under Input Saturation,
SMCS(53), No. 1, January 2023, pp. 610-622.
IEEE DOI
2301
Trajectory, Synchronization, Space vehicles,
Target tracking, Space stations, Radar tracking, Input saturation,
three-dimensional (3-D) target tracking
BibRef
Liu, Z.H.[Zhi-Hao],
Shang, Y.Y.[Yuan-Yuan],
Li, T.[Timing],
Chen, G.[Guanlin],
Wang, Y.[Yu],
Hu, Q.H.[Qing-Hua],
Zhu, P.F.[Peng-Fei],
Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion:
A Benchmark,
MultMed(25), 2023, pp. 1462-1476.
IEEE DOI
2305
Target tracking, Drones, Task analysis, Cameras, Object detection,
Object tracking, Transformers, Drone, target occlusion,
identity association
BibRef
Dai, X.R.[Xiang-Rong],
Shi, C.G.[Chen-Guang],
Wang, Z.W.[Zi-Wei],
Zhou, J.J.[Jian-Jiang],
Coalition Game Theoretic Power Allocation Strategy for Multi-Target
Detection in Distributed Radar Networks,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link
2308
BibRef
Wang, L.[Li],
Zhang, X.Y.[Xin-Yu],
Qin, W.Y.[Wen-Yuan],
Li, X.Y.[Xiao-Yu],
Gao, J.H.[Jing-Han],
Yang, L.[Lei],
Li, Z.W.[Zhi-Wei],
Li, J.[Jun],
Zhu, L.[Lei],
Wang, H.[Hong],
Liu, H.P.[Hua-Ping],
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object
Tracking With Camera-LiDAR Fusion,
ITS(24), No. 11, November 2023, pp. 11981-11996.
IEEE DOI
2311
BibRef
Cho, M.H.[Min-Ho],
Kim, E.T.[Eun-Tai],
3D LiDAR Multi-Object Tracking with Short-Term and Long-Term
Multi-Level Associations,
RS(15), No. 23, 2023, pp. 5486.
DOI Link
2312
BibRef
Liu, H.[Hao],
Ma, Y.[Yanni],
Hu, Q.Y.[Qing-Yong],
Guo, Y.L.[Yu-Lan],
CenterTube: Tracking Multiple 3D Objects With 4D Tubelets in Dynamic
Point Clouds,
MultMed(25), 2023, pp. 8793-8804.
IEEE DOI
2312
BibRef
Casao, S.[Sara],
Serra-Gómez, Á.[Álvaro],
Murillo, A.C.[Ana C.],
Böhmer, W.[Wendelin],
Alonso-Mora, J.[Javier],
Montijano, E.[Eduardo],
Distributed multi-target tracking and active perception with mobile
camera networks,
CVIU(238), 2024, pp. 103876.
Elsevier DOI
2312
Multi-camera scene analysis, Collaborative and autonomous decision making
BibRef
Pan, T.W.[Ting-Wei],
Dong, H.B.[Hong-Bin],
Deng, B.[Baosong],
Gui, J.J.[Jian-Jun],
Zhao, B.X.[Bing-Xu],
Robust Cross-Drone Multi-Target Association Using 3D Spatial
Consistency,
SPLetters(31), 2024, pp. 71-75.
IEEE DOI
2401
BibRef
Nguyen, T.T.[Tuan T.],
Nguyen, H.H.[Hoang H.],
Sartipi, M.[Mina],
Fisichella, M.[Marco],
Multi-Vehicle Multi-Camera Tracking With Graph-Based Tracklet
Features,
MultMed(26), 2024, pp. 972-983.
IEEE DOI
2402
Cameras, Feature extraction, Trajectory, Target tracking,
Object detection, Graph neural networks, Predictive models, ITS,
vehicle tracking
BibRef
Wei, S.M.[Shao-Ming],
Lin, Y.B.[Ying-Bin],
Wang, J.[Jun],
Zeng, Y.J.[Ya-Jun],
Qu, F.R.[Fang-Rui],
Zhou, X.[Xuan],
Lu, Z.T.[Zhuo-Tong],
A Robust TCPHD Filter for Multi-Sensor Multitarget Tracking Based on
a Gaussian-Student's t-Mixture Model,
RS(16), No. 3, 2024, pp. 506.
DOI Link
2402
BibRef
Li, Z.[Zeren],
Cai, Y.Z.[Yun-Ze],
Leung, H.[Henry],
Distributed Multi-Sensor Control for Multi-Target Tracking With a
Sparsity-Promoting Objective Function,
SPLetters(31), 2024, pp. 621-625.
IEEE DOI
2402
Sensors, Linear programming, Sensor systems, Markov processes,
Target tracking, Radio frequency, Process control,
partially observed Markov decision process
BibRef
Zhu, X.F.[Xue-Feng],
Xu, T.Y.[Tian-Yang],
Wu, X.J.[Xiao-Jun],
Kittler, J.V.[Josef V.],
Feature enhancement and coarse-to-fine detection for RGB-D tracking,
PRL(179), 2024, pp. 130-136.
Elsevier DOI
2403
RGB-D tracking, Feature enhancement, Cross-attention, Long-term, Re-detection
BibRef
Hao, S.Y.[Sheng-Yu],
Liu, P.Y.[Pei-Yuan],
Zhan, Y.B.[Yi-Bing],
Jin, K.X.[Kai-Xun],
Liu, Z.Z.[Zuo-Zhu],
Song, M.L.[Ming-Li],
Hwang, J.N.[Jenq-Neng],
Wang, G.A.[Gao-Ang],
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View
Multi-Object Tracking in DIVerse Open Scenes,
IJCV(132), No. 4, April 2024, pp. 1075-1090.
Springer DOI
2404
BibRef
Nguyen, P.[Pha],
Quach, K.G.[Kha Gia],
Duong, C.N.[Chi Nhan],
Phung, S.L.[Son Lam],
Le, N.[Ngan],
Luu, K.[Khoa],
Multi-camera multi-object tracking on the move via single-stage
global association approach,
PR(152), 2024, pp. 110457.
Elsevier DOI
2405
BibRef
Guo, Z.J.[Zi-Jun],
He, Z.X.[Zi-Xin],
Jiang, R.[Runbo],
Li, Z.C.[Zhi-Cai],
Chen, H.L.[Hui-Ling],
Wang, Y.J.[Ying-Jian],
Shi, D.F.[Dong-Feng],
Real-Time Three-Dimensional Tracking of Distant Moving Objects Using
Non-Imaging Single-Pixel LiDAR,
RS(16), No. 11, 2024, pp. 1924.
DOI Link
2406
BibRef
Zhang, Y.[Yuan],
Pu, C.H.[Cheng-Han],
Qi, Y.[Yu],
Yang, J.P.[Jian-Ping],
Wu, X.[Xiang],
Niu, M.[Muyuan],
Wei, M.Q.[Ming-Qiang],
CDTracker: Coarse-to-Fine Feature Matching and Point Densification
for 3D Single-Object Tracking,
RS(16), No. 13, 2024, pp. 2322.
DOI Link
2407
BibRef
Zhu, D.[Danjie],
Yang, S.X.[Simon X.],
Current Effect-Eliminated Optimal Target Assignment and Motion
Planning for a Multi-UUV System,
ITS(25), No. 8, August 2024, pp. 8419-8428.
IEEE DOI
2408
Planning, Neurons, Oceans, Heuristic algorithms,
Biological neural networks, Vehicle dynamics, Path planning,
unmanned underwater vehicle
BibRef
Zhu, X.F.[Xue-Feng],
Xu, T.Y.[Tian-Yang],
Atito, S.[Sara],
Awais, M.[Muhammad],
Wu, X.J.[Xiao-Jun],
Feng, Z.H.[Zhen-Hua],
Kittler, J.V.[Josef V.],
Self-supervised learning for RGB-D object tracking,
PR(155), 2024, pp. 110543.
Elsevier DOI
2408
RGB-D tracking, Self-supervised learning, Masked image modelling
BibRef
Weder, S.[Silvan],
Blum, H.[Hermann],
Engelmann, F.[Francis],
Pollefeys, M.[Marc],
LABELMAKER: Automatic Semantic Label Generation from RGB-D
Trajectories,
3DV24(334-343)
IEEE DOI
2408
Point cloud compression, Solid modeling, Annotations, Semantics,
Pipelines, Manuals, Scene Understanding, Semantic Segmentation, Automatic Labels
BibRef
Karki, S.[Shashank],
Pingel, T.J.[Thomas J.],
Baird, T.D.[Timothy D.],
Flack, A.[Addison],
Ogle, T.[Todd],
Enhancing Digital Twins with Human Movement Data:
A Comparative Study of Lidar-Based Tracking Methods,
RS(16), No. 18, 2024, pp. 3453.
DOI Link
2410
BibRef
Cheng, L.[Lei],
Sengupta, A.[Arindam],
Cao, S.Y.[Si-Yang],
Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave
Radar and Camera Sensors,
ITS(25), No. 11, November 2024, pp. 17218-17233.
IEEE DOI
2411
Radar tracking, Radar, Cameras, Sensors, Tracking, Sensor fusion,
Accuracy, Multi-object tracking, radar, radar and camera, Bi-LSTM
BibRef
Ying, G.[Ge],
Zhang, D.W.[Da-Wei],
Ou, Z.[Zhou],
Wang, X.[Xiao],
Zheng, Z.[Zhonglong],
Temporal adaptive bidirectional bridging for RGB-D tracking,
PR(158), 2025, pp. 111053.
Elsevier DOI
2411
RGB-D object tracking, Multimodal fusion, Temporal adaptive,
Bidirectional bridging
BibRef
Kandukuri, R.K.[Rama Krishna],
Strecke, M.[Michael],
Stueckler, J.[Joerg],
Physics-Based Rigid Body Object Tracking and Friction Filtering From
RGB-D Videos,
3DV24(1259-1269)
IEEE DOI
2408
Solid modeling, Filtering, Shape, Friction, Detectors, Robot sensing systems,
differentiable physics, 3D tracking, physics-based scene understanding
BibRef
Teigen, A.L.[Andreas L.],
Park, Y.[Yeonsoo],
Stahl, A.[Annette],
Mester, R.[Rudolf],
RGB-D Mapping and Tracking in a Plenoxel Radiance Field,
WACV24(3330-3339)
IEEE DOI Code:
WWW Link.
2404
Solid modeling, Visualization,
Simultaneous localization and mapping,
Virtual / augmented reality
BibRef
Xu, T.X.[Tian-Xing],
Guo, Y.C.[Yuan-Chen],
Lai, Y.K.[Yu-Kun],
Zhang, S.H.[Song-Hai],
MBPTrack: Improving 3D Point Cloud Tracking with Memory networks and
Box Priors,
ICCV23(9877-9886)
IEEE DOI
2401
BibRef
Cheng, C.C.[Cheng-Che],
Qiu, M.X.[Min-Xuan],
Chiang, C.K.[Chen-Kuo],
Lai, S.H.[Shang-Hong],
ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera
Multi-Object Tracking,
ICCV23(10017-10026)
IEEE DOI Code:
WWW Link.
2401
BibRef
Xu, T.X.[Tian-Xing],
Guo, Y.C.[Yuan-Chen],
Lai, Y.K.[Yu-Kun],
Zhang, S.H.[Song-Hai],
CXTrack: Improving 3D Point Cloud Tracking with Contextual
Information,
CVPR23(1084-1093)
IEEE DOI
2309
BibRef
Pang, Z.Q.[Zi-Qi],
Li, J.[Jie],
Tokmakov, P.[Pavel],
Chen, D.[Dian],
Zagoruyko, S.[Sergey],
Wang, Y.X.[Yu-Xiong],
Standing Between Past and Future: Spatio-Temporal Modeling for
Multi-Camera 3D Multi-Object Tracking,
CVPR23(17928-17938)
IEEE DOI
2309
BibRef
Zhao, H.J.[Hao-Jie],
Chen, J.S.[Jun-Song],
Wang, L.J.[Li-Jun],
Lu, H.C.[Hu-Chuan],
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D
Data,
CVPR23(5126-5135)
IEEE DOI
2309
BibRef
Liu, X.Q.[Xiao-Qiong],
Lin, Y.W.[Yue-Wei],
Yang, Q.[Qing],
Fan, H.[Heng],
Transferable Adversarial Attack on 3d Object Tracking in Point Cloud,
MMMod23(II: 446-458).
Springer DOI
2304
BibRef
Stoiber, M.[Manuel],
Sundermeyer, M.[Martin],
Triebel, R.[Rudolph],
Iterative Corresponding Geometry: Fusing Region and Depth for Highly
Efficient 3D Tracking of Textureless Objects,
CVPR22(6845-6855)
IEEE DOI
2210
Geometry, Fuses, Probabilistic logic, Robustness, Real-time systems,
Pose estimation and tracking, Motion and tracking, Statistical methods
BibRef
Gao, S.[Shang],
Yang, J.[Jinyu],
Li, Z.[Zhe],
Zheng, F.[Feng],
Leonardis, A.[Aleš],
Song, J.[Jingkuan],
Learning Dual-fused Modality-aware Representations for RGBD Tracking,
VOT22(478-494).
Springer DOI
2304
BibRef
X
Han, X.T.[Xiao-Tian],
You, Q.Z.[Quan-Zeng],
Wang, C.Y.[Chun-Yu],
Zhang, Z.Z.[Zhi-Zheng],
Chu, P.[Peng],
Hu, H.[Houdong],
Wang, J.[Jiang],
Liu, Z.C.[Zi-Cheng],
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People
Tracking Benchmark,
WACV23(4849-4858)
IEEE DOI
2302
Training, Adaptation models, Benchmark testing, Cameras, Data models,
Sensor systems
BibRef
Zhang, Y.C.[Yong-Chang],
Niu, H.[Hanbing],
Guo, Y.[Yue],
He, W.H.[Wen-Hao],
MLCFNet: Multi-Level Context Fusion Network for 3D Object Tracking,
ICPR22(4044-4050)
IEEE DOI
2212
Point cloud compression, Fuses,
Feature extraction, Search problems, Object tracking
BibRef
Müller, N.[Norman],
Wong, Y.S.[Yu-Shiang],
Mitra, N.J.[Niloy J.],
Dai, A.[Angela],
Nießner, M.[Matthias],
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences,
CVPR21(6067-6076)
IEEE DOI
2111
Geometry,
Video sequences, Pose estimation, Pipelines, Cameras
BibRef
Mao, Y.Y.[Yun-Yao],
Deng, J.J.[Jia-Jun],
Zhou, W.G.[Wen-Gang],
Fang, Y.[Yao],
Ouyang, W.L.[Wan-Li],
Li, H.Q.[Hou-Qiang],
Masked Motion Predictors are Strong 3D Action Representation Learners,
ICCV23(10147-10157)
IEEE DOI Code:
WWW Link.
2401
BibRef
Guo, Z.Y.[Zhi-Yang],
Mao, Y.Y.[Yun-Yao],
Zhou, W.G.[Wen-Gang],
Wang, M.[Min],
Li, H.Q.[Hou-Qiang],
CMT: Context-Matching-Guided Transformer for 3D Tracking in Point
Clouds,
ECCV22(XXII:95-111).
Springer DOI
2211
BibRef
Yang, X.P.[Xi-Peng],
Ye, J.[Jin],
Lu, J.C.[Jin-Cheng],
Gong, C.T.[Chen-Ting],
Jiang, M.[Minyue],
Lin, X.R.[Xiang-Ru],
Zhang, W.[Wei],
Tan, X.[Xiao],
Li, Y.Y.[Ying-Ying],
Ye, X.Q.[Xiao-Qing],
Ding, E.[Errui],
Box-Grained Reranking Matching for Multi-Camera Multi-Target Tracking,
AICity22(3095-3105)
IEEE DOI
2210
Roads, Urban areas, Feature extraction, Cameras, Trajectory, Topology,
Space exploration
BibRef
Nguyen, P.[Pha],
Quach, K.G.[Kha Gia],
Duong, C.N.[Chi Nhan],
Le, N.[Ngan],
Nguyen, X.B.[Xuan-Bac],
Luu, K.[Khoa],
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous
Vehicles,
Precognition22(2568-2577)
IEEE DOI
2210
Solid modeling, Tracking, Object detection, Predictive models,
Cameras, Sensors
BibRef
Nguyen, D.M.H.[Duy M. H.],
Henschel, R.[Roberto],
Rosenhahn, B.[Bodo],
Sonntag, D.[Daniel],
Swoboda, P.[Paul],
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera
Multi-Object Tracking,
CVPR22(8856-8865)
IEEE DOI
2210
Geometry, Training, Video surveillance, Mathematical models,
Trajectory, Motion and tracking, Optimization methods,
Vision applications and systems
BibRef
Zheng, C.[Chaoda],
Yan, X.[Xu],
Gao, J.T.[Jian-Tao],
Zhao, W.B.[Wei-Bing],
Zhang, W.[Wei],
Li, Z.[Zhen],
Cui, S.G.[Shu-Guang],
Box-Aware Feature Enhancement for Single Object Tracking on Point
Clouds,
ICCV21(13179-13188)
IEEE DOI
2203
Point cloud compression, Target tracking, Laser radar, Shape,
Benchmark testing, Motion and tracking,
Vision for robotics and autonomous vehicles
BibRef
Yang, J.[Jinyu],
Zhang, Z.Q.[Zhong-Qun],
Li, Z.[Zhe],
Chang, H.J.[Hyung Jin],
Leonardis, A.[Aleš],
Zheng, F.[Feng],
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline,
ECCV22(XXII:112-128).
Springer DOI
2211
BibRef
Yan, S.[Song],
Yang, J.Y.[Jin-Yu],
Käpylä, J.[Jani],
Zheng, F.[Feng],
Leonardis, A.[Aleš],
Kämäräinen, J.K.[Joni-Kristian],
DepthTrack: Unveiling the Power of RGBD Tracking,
ICCV21(10705-10713)
IEEE DOI
2203
Training, Codes, Training data, Benchmark testing,
Robot sensing systems, Sensors, Datasets and evaluation, Motion and tracking
BibRef
Li, Y.J.[Yu-Jhe],
Weng, X.[Xinshuo],
Xu, Y.[Yan],
Kitani, K.[Kris],
Visio-Temporal Attention for Multi-Camera Multi-Target Association,
ICCV21(9814-9824)
IEEE DOI
2203
Visualization, Target tracking, Computational modeling,
Benchmark testing, Cameras, Transformers, Feature extraction,
Recognition and classification
BibRef
Hsu, H.M.[Hung-Min],
Wang, Y.Z.[Yi-Zhou],
Cai, J.R.[Jia-Rui],
Hwang, J.N.[Jenq-Neng],
Multi-Target Multi-Camera Tracking of Vehicles by Graph Auto-Encoder
and Self-Supervised Camera Link Model,
RWSurvil22(489-499)
IEEE DOI
2202
Target tracking, Smart cities, Conferences,
Computational modeling, Benchmark testing, Cameras
BibRef
Ye, J.[Jin],
Yang, X.P.[Xi-Peng],
Kang, S.[Shuai],
He, Y.[Yue],
Zhang, W.M.[Wei-Ming],
Huang, L.[Leping],
Jiang, M.[Minyue],
Zhang, W.[Wei],
Shi, Y.F.[Yi-Feng],
Xia, M.[Meng],
Tan, X.[Xiao],
A Robust MTMC Tracking System for AI-City Challenge 2021,
AICity21(4039-4048)
IEEE DOI
2109
Roads, Urban areas, Cameras, Feature extraction, Trajectory,
Space exploration
BibRef
Qi, H.,
Feng, C.,
Cao, Z.,
Zhao, F.,
Xiao, Y.,
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds,
CVPR20(6328-6337)
IEEE DOI
2008
Proposals, Object tracking,
Target tracking, Feeds, Machine learning
BibRef
Li, P.,
Shi, J.,
Shen, S.,
Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking,
CVPR20(6876-6885)
IEEE DOI
2008
Object tracking,
Optimization, Estimation, Proposals
BibRef
Kart, U.[Ugur],
Kämäräinen, J.K.[Joni-Kristian],
Matas, J.G.[Jirí G.],
How to Make an RGBD Tracker?,
VOT18(I:148-161).
Springer DOI
1905
BibRef
Fan, C.[Chao],
Wang, Y.L.[Yu-Long],
Li, C.L.[Cheng-Long],
Tang, J.[Jin],
Visual Tracking Via Siamese Network With Global Similarity,
ICIP19(3985-3989)
IEEE DOI
1910
Siamese network, visual tracking, global similarity, hard samples
BibRef
Goral, A.,
Application of Range and Color Imaging Sensors for Spatial
Orientation Tracking,
IVMSP18(1-5)
IEEE DOI
1809
Cameras, Color, Image color analysis,
Target tracking, Sensors, Geometry
BibRef
Perez-Yus, A.[Alejandro],
Puig, L.[Luis],
Lopez-Nicolas, G.[Gonzalo],
Guerrero, J.J.[Jose J.],
Fox, D.[Dieter],
RGB-D Based Tracking of Complex Objects,
UHA3DS16(115-127).
Springer DOI
1806
BibRef
Katragadda, S.,
Cavallaro, A.,
A batch asynchronous tracker for wireless smart-camera networks,
AVSS17(1-6)
IEEE DOI
1806
cameras, filtering theory, image sensors, radio networks,
asynchronous information, corresponding information,
Target tracking
BibRef
Baqué, P.,
Fleuret, F.[François],
Fua, P.[Pascal],
Deep Occlusion Reasoning for Multi-camera Multi-target Detection,
ICCV17(271-279)
IEEE DOI
1802
feedforward neural nets, image sensors, inference mechanisms,
object detection, object tracking, random processes, sensor fusion,
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
Bergmann, P.,
Meinhardt, T.,
Leal-Taixé, L.[Laura],
Tracking Without Bells and Whistles,
ICCV19(941-951)
IEEE DOI
2004
image motion analysis, image sequences, motion compensation,
object detection, object tracking, target tracking,
Proposals
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
Kehl, W.[Wadim],
Tombari, F.[Federico],
Ilic, S.[Slobodan],
Navab, N.[Nassir],
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core,
CVPR17(465-473)
IEEE DOI
1711
Computational modeling, Histograms, Image color analysis,
Real-time systems, Robustness, Solid modeling,
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
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
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
Mikulis, B.,
Rao, R.,
Object Labeling for 3-D Cross-Sectional Data using Trajectory Tracking,
ICIP06(2217-2220).
IEEE DOI
0610
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
Stenberg, M.,
Nilsson, K.,
3-D Tracking of Point: Symmetric Particles by Videomicroscopy,
SSAB97(Image Processing)
9703
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 .