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Elsevier DOI
1007
Multiple objects tracking; Occlusion; Object permanence
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Multi-target visual tracking; GM-PHD filter; Occlusion
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image fusion
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Online multiple targets tracking
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Pan-tilt-zoom camera
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ICPR18(1941-1946)
IEEE DOI
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Trajectory, Predictive models, Context modeling, Legged locomotion,
Cameras, Training, Logic gates
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1511
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Salvagnini, P.[Pietro],
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Information theoretic sensor management for multi-target tracking
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WACV14(893-900)
IEEE DOI
1406
Cameras
BibRef
Innocenti, S.U.[Simone Undri],
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Temporal Binary Representation for Event-Based Action Recognition,
ICPR21(10426-10432)
IEEE DOI
2105
Deep learning, Computational modeling,
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Continuous Energy Minimization for Multitarget Tracking,
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1312
Multiobject tracking
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1609
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And:
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CVPR13(3682-3689)
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1309
Data models.
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HIS14(519-530).
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1504
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Multi-target tracking by continuous energy minimization,
CVPR11(1265-1272).
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1106
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Discrete-continuous optimization for multi-target tracking,
CVPR12(1926-1933).
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1208
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Earlier: A1, A3, A2:
An analytical formulation of global occlusion reasoning for
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VS11(1839-1846).
IEEE DOI
1201
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Milan, A.[Anton],
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CVPR15(5397-5406)
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1510
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SPLetters(23), No. 2, February 2016, pp. 257-261.
IEEE DOI
1602
BibRef
Earlier: A1, A2, A3, Only:
An online learned hough forest model for multi-target tracking,
ICIP14(2398-2402)
IEEE DOI
1502
feature extraction.
Color
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Wang, D.,
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Occlusion-Aware Fragment-Based Tracking With Spatial-Temporal
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IP(25), No. 8, August 2016, pp. 3814-3825.
IEEE DOI
1608
Algorithm design and analysis
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Context-based multi-target tracking with occlusion handling,
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1612
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What Is in Front? Multiple-Object Detection and Tracking with Dynamic
Occlusion Handling,
CAIP15(I:14-26).
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1511
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Multi-target tracking, Reflections, Occlusions,
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1907
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Tensor Power Iteration for Multi-graph Matching,
CVPR16(5062-5070)
IEEE DOI
1612
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Hu, W.M.[Wei-Ming],
Shi, X.C.[Xin-Chu],
Zhou, Z.W.[Zong-Wei],
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2002
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Hu, W.M.[Wei-Ming],
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Hu, R.G.[Rui-Guang],
Multi-object Tracking under Occlusion Using Dual-Mode Graph Embedding,
ACPR13(547-551)
IEEE DOI
1408
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And: A1, A2, A3, A4, Only:
Graph Embedding Based Semi-supervised Discriminative Tracker,
VOT13(145-152)
IEEE DOI
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graph theory.
data structures
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Shi, X.C.[Xin-Chu],
Ling, H.B.[Hai-Bin],
Hu, W.M.[Wei-Ming],
Yuan, C.F.[Chun-Feng],
Xing, J.L.[Jun-Liang],
Multi-target Tracking with Motion Context in Tensor Power Iteration,
CVPR14(3518-3525)
IEEE DOI
1409
BibRef
Earlier: A1, A2, A5, A3, Only:
Multi-target Tracking by Rank-1 Tensor Approximation,
CVPR13(2387-2394)
IEEE DOI
1309
Motion context; tensor power iteration.
Multiple target tracking; Rank-1 tensor approximation
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Wang, L.[Lin],
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Hu, X.M.[Xiao-Ming],
Distributed tracking and connectivity maintenance with a varying
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ICARCV12(1824-1829).
IEEE DOI
1304
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Mishra, P.K.[Pawan Kumar],
Saroha, G.P.,
Occlusion handling strategies for multiple moving object classification,
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DOI Link
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Tan, X.[Xu],
Li, Z.W.[Zheng-Wei],
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Wang, Y.N.[Yao-Nan],
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JVCIR(79), 2021, pp. 103250.
Elsevier DOI
2109
Object tracking, Sequence features, Severe occlusion scene, Sequence-tracker
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Yue, Y.Y.[Ying-Ying],
Xu, D.[Dan],
He, K.J.[Kang-Jian],
Shi, H.Z.[Hong-Zhen],
Zhang, H.[Hao],
OsaMOT: Occlusion and scale-aware multi-object tracking algorithm for
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IET-IPR(16), No. 2, 2022, pp. 622-640.
DOI Link
2201
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Ong, J.[Jonah],
Vo, B.T.[Ba-Tuong],
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A Bayesian Filter for Multi-View 3D Multi-Object Tracking With
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PAMI(44), No. 5, May 2022, pp. 2246-2263.
IEEE DOI
2204
Cameras, Trajectory, Bayes methods, Detectors, Training, Visualization,
Multi-view, multi-sensor, multi-object visual tracking,
generalized labeled multi-bernoulli
BibRef
Li, R.[Rui],
Zhang, B.[Baopeng],
Teng, Z.[Zhu],
Fan, J.P.[Jian-Ping],
An end-to-end identity association network based on geometry
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PR(129), 2022, pp. 108738.
Elsevier DOI
2206
Multi-object tracking, Interactions, Occlusions,
Data association, Identity verification
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Abbaspour, M.[Mohammadjavad],
Masnadi-Shirazi, M.A.[Mohammad Ali],
Online multi-object tracking with d-GLMB filter based on occlusion
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Elsevier DOI
2211
Multi-object tracking,
Generalized Labeled Multi-Bernoulli filter, ID switch handler
BibRef
Cao, Z.C.[Zheng-Cai],
Li, J.N.[Jun-Nian],
Zhang, D.[Dong],
Zhou, M.C.[Meng-Chu],
Abusorrah, A.[Abdullah],
A Multi-Object Tracking Algorithm With Center-Based Feature
Extraction and Occlusion Handling,
ITS(24), No. 4, April 2023, pp. 4464-4473.
IEEE DOI
2304
Feature extraction, Object detection, Heating systems,
Logic gates, Videos, Training, Hungarian matching
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Yu, Q.Q.[Qian-Qian],
Fan, K.Q.[Ke-Qi],
Zheng, Y.H.[Yu-Hui],
Domain Adaptive Transformer Tracking Under Occlusions,
MultMed(25), 2023, pp. 1452-1461.
IEEE DOI
2305
Feature extraction, Object tracking, Training, Task analysis,
Current transformers, Target tracking, Object detection,
visual object tracking
BibRef
Ferdous, S.N.[Syeda Nyma],
Li, X.[Xin],
Lyu, S.W.[Si-Wei],
Uncertainty Aware Multitask Pyramid Vision Transformer for UAV-Based
Object Re-Identification,
ICIP22(2381-2385)
IEEE DOI
2211
Uncertainty, Convolution, Surveillance, Transformers, Cameras,
UAV-based object ReID, Pyramid Vision Transformer, Multitask Learning
BibRef
Zou, Z.B.[Zhi-Bo],
Huang, J.J.[Jun-Jie],
Luo, P.[Ping],
Compensation Tracker: Reprocessing Lost Object for Multi-Object
Tracking,
WACV22(2673-2673)
IEEE DOI
2202
Analytical models, Costs, Tracking,
Computational modeling, Detectors, Real-time systems, Deep Learning
BibRef
Xu, Y.,
Qin, L.,
Liu, X.,
Xie, J.,
Zhu, S.,
A Causal And-Or Graph Model for Visibility Fluent Reasoning in
Tracking Interacting Objects,
CVPR18(2178-2187)
IEEE DOI
1812
Videos, Trajectory, Cognition, Video sequences, Object tracking, Grammar
BibRef
Gu, X.L.[Xiao-Lin],
Zhou, S.L.[Shi-Lin],
Lei, L.[Lin],
Deng, Z.P.[Zhi-Peng],
Appearance and structural motion context for multi-target tracking in
aerial video,
ICIVC17(443-448)
IEEE DOI
1708
Adaptation models, Cameras, Color, Context modeling, Cost function,
Mathematical model, Prediction algorithms, appearance context,
camera motion, occlusion, structural, motion, context
BibRef
Benamara, A.[Adel],
Miguet, S.[Serge],
Scuturici, M.[Mihaela],
Real-Time Multi-object Tracking with Occlusion and Stationary Objects
Handling for Conveying Systems,
ISVC16(I: 136-145).
Springer DOI
1701
BibRef
Fasciano, T.[Thomas],
Dornhaus, A.[Anna],
Shin, M.C.[Min C.],
Multiple Insect Tracking with Occlusion Sub-tunnels,
WACV15(634-641)
IEEE DOI
1503
BibRef
Earlier:
Ant tracking with occlusion tunnels,
WACV14(947-952)
IEEE DOI
1406
Accuracy
Image edge detection
BibRef
Solera, F.,
Calderara, S.,
Cucchiara, R.,
Learning to Divide and Conquer for Online Multi-target Tracking,
ICCV15(4373-4381)
IEEE DOI
1602
BibRef
Earlier:
Towards the evaluation of reproducible robustness in
tracking-by-detection,
AVSS15(1-6)
IEEE DOI
1511
object detection.
Coherence.
BibRef
Li, Y.[Yuke],
Bloch, I.[Isabelle],
Shen, W.M.[Wei-Ming],
Handling Inter-object Occlusion for Multi-object Tracking Based on
Attraction Force Constraint,
ICIAR15(520-527).
Springer DOI
1507
BibRef
Yang, M.L.[Meng-Long],
Liu, Y.G.[Yi-Guang],
Wen, L.Y.[Long-Yin],
You, Z.S.[Zhi-Sheng],
Li, S.Z.[Stan Z.],
A Probabilistic Framework for Multitarget Tracking with Mutual
Occlusions,
CVPR14(1298-1305)
IEEE DOI
1409
BibRef
Kyriazis, N.[Nikolaos],
Argyros, A.A.[Antonis A.],
Scalable 3D Tracking of Multiple Interacting Objects,
CVPR14(3430-3437)
IEEE DOI
1409
3d; efficient; interaction; joint; occlusions; optimization; tracking
BibRef
Basharat, A.[Arslan],
Turek, M.[Matt],
Xu, Y.L.[Yi-Liang],
Atkins, C.[Chuck],
Stoup, D.[David],
Fieldhouse, K.[Keith],
Tunison, P.[Paul],
Hoogs, A.J.[Anthony J.],
Real-time multi-target tracking at 210 megapixels/second in Wide Area
Motion Imagery,
WACV14(839-846)
IEEE DOI
1406
Joining processes;Tracking
BibRef
Nguyen, H.[Hoan],
Fasciano, T.[Thomas],
Charbonneau, D.[Daniel],
Dornhaus, A.[Anna],
Shin, M.C.[Min C.],
Data association based ant tracking with interactive error correction,
WACV14(941-946)
IEEE DOI
1406
Accuracy
BibRef
Lu, H.[Hong],
Li, H.S.[Hong-Sheng],
Zou, W.L.[Wen-Lin],
Fei, S.M.[Shu-Min],
A robust algorithm for tracking object under occlusion and illumination
change,
ICARCV12(1454-1459).
IEEE DOI
1304
BibRef
Zhang, L.[Lei],
Wang, Q.[Qing],
Spatio-Temporal Clustering Model for Multi-object Tracking through
Occlusions,
ACCV12(III:177-190).
Springer DOI
1304
BibRef
Salvi, D.,
Waggoner, J.W.,
Temlyakov, A.[Andrew],
Wang, S.[Song],
A graph-based algorithm for multi-target tracking with occlusion,
WACV13(489-496).
IEEE DOI
1303
BibRef
Cordes, K.[Kai],
Scheuermann, B.[Björn],
Rosenhahn, B.[Bodo],
Ostermann, J.[Jörn],
Learning Object Appearance from Occlusions Using Structure and Motion
Recovery,
ACCV12(III:611-623).
Springer DOI
1304
BibRef
Li, W.[Wei],
Li, B.[Bing],
Zhang, X.Q.[Xiao-Qin],
Hu, W.M.[Wei-Ming],
Wang, H.Z.[Han-Zi],
Luo, G.[Guan],
Occlusion Handling with L1-Regularized Sparse Reconstruction,
ACCV10(IV: 630-640).
Springer DOI
1011
Tracking multiple objects with occlusions.
BibRef
Bazzani, L.[Loris],
Cristani, M.[Marco],
Bicego, M.[Manuele],
Murino, V.[Vittorio],
Online subjective feature selection for occlusion management in
tracking applications,
ICIP09(3617-3620).
IEEE DOI
0911
BibRef
Lanz, O.[Oswald],
Messelodi, S.[Stefano],
A Sampling Algorithm for Occlusion Robust Multi Target Detection,
AVSBS09(346-351).
IEEE DOI
0909
BibRef
Yu, J.[Jie],
Farin, D.[Dirk],
Loos, H.S.[Hartmut S.],
Multi-cue Based Visual Tracking in Clutter Scenes with Occlusions,
AVSBS09(158-163).
IEEE DOI
0909
BibRef
Xing, J.L.[Jun-Liang],
Ai, H.Z.[Hai-Zhou],
Lao, S.H.[Shi-Hong],
Multi-object tracking through occlusions by local tracklets filtering
and global tracklets association with detection responses,
CVPR09(1200-1207).
IEEE DOI
0906
BibRef
Schmaltz, C.[Christian],
Rosenhahn, B.[Bodo],
Brox, T.[Thomas],
Weickert, J.[Joachim],
Cremers, D.[Daniel],
Wietzke, L.[Lennart],
Sommer, G.[Gerald],
Occlusion Modeling by Tracking Multiple Objects,
DAGM07(173-183).
Springer DOI
0709
BibRef
Yu, T.[Ting],
Wu, Y.[Ying],
Decentralized Multiple Target Tracking Using Netted Collaborative
Autonomous Trackers,
CVPR05(I: 939-946).
IEEE DOI
0507
BibRef
Earlier:
Collaborative tracking of multiple targets,
CVPR04(I: 834-841).
IEEE DOI
0408
Dealing with split/merge due to occlusions.
BibRef
Xu, L.Q.[Li-Qun],
Puig, P.[Pere],
A hybrid blob- and appearance-based framework for multi-object tracking
through complex occlusions,
PETS05(73-80).
IEEE DOI
0602
BibRef
Lee, H.K.[Heung-Kyu],
Ko, H.S.[Han-Seok],
Predictive Estimation Method to Track Occluded Multiple Objects Using
Joint Probabilistic Data Association Filter,
ICIAR05(852-860).
Springer DOI
0509
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Multi-Object, Multi-Target, Particle Filter Techniques .