16.6.2.7.6 Target Tracking, Multi-Object Tracking, Occlusions

Chapter Contents (Back)
Multi-Target Tracking. Multi-Object Tracking. Occlusions. Re-Identification. 1301
Also, more clutter issues:
See also Target Tracking Techniques, Occlusions, Clutter.

Foresti, G.L.,
Detecting multiple objects under partial occlusion by integrating classification and tracking approaches,
IJIST(11), No. 5, 2000, pp. 263-276.
WWW Link. 0110
BibRef

Foresti, G.L.,
Line Segment Based Approach for 3D Motion Estimation and Tracking of Multiple Objects,
PRAI(12), No. 6, September 1998, pp. 881. BibRef 9809

Papadourakis, V.[Vasilis], Argyros, A.A.[Antonis A.],
Multiple objects tracking in the presence of long-term occlusions,
CVIU(114), No. 7, July 2010, pp. 835-846.
Elsevier DOI 1007
Multiple objects tracking; Occlusion; Object permanence BibRef

Baltzakis, H.[Haris], Argyros, A.A.[Antonis A.],
Propagation of Pixel Hypotheses for Multiple Objects Tracking,
ISVC09(II: 140-149).
Springer DOI 0911
BibRef

Zhou, X.L.[Xiao-Long], Li, Y.F., He, B.W.[Bing-Wei],
Game-theoretical occlusion handling for multi-target visual tracking,
PR(46), No. 10, October 2013, pp. 2670-2684.
Elsevier DOI 1306
Multi-target visual tracking; GM-PHD filter; Occlusion handling; Game-theory; Appearance model BibRef

Schusterreiter, C.[Christian], Grossmann, W.[Wilfried],
A two-fly tracker that solves occlusions by dynamic programming: computational analysis of Drosophila courtship behaviour,
JIVP(2013), No. 1, 2013, pp. 64.
DOI Link 1402
BibRef

Yi, Y.[Yang], Xu, H.[Haohui],
Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking,
SPLetters(21), No. 3, March 2014, pp. 288-291.
IEEE DOI 1403
image fusion BibRef

Yi, Y.[Yang], Mo, Z.W.[Zeng-Wei], Tan, J.W.[Jie-Wen],
A novel hierarchical data association with dynamic viewpoint model for multiple targets tracking,
JVCIR(34), No. 1, 2016, pp. 37-49.
Elsevier DOI 1601
Online multiple targets tracking BibRef

Salvagnini, P.[Pietro], Pernici, F.[Federico], Cristani, M.[Marco], Lisanti, G.[Giuseppe], del Bimbo, A.[Alberto], Murino, V.[Vittorio],
Non-myopic information theoretic sensor management of a single pan-tilt-zoom camera for multiple object detection and tracking,
CVIU(134), No. 1, 2015, pp. 74-88.
Elsevier DOI 1504
Pan-tilt-zoom camera BibRef

Bartoli, F.[Federico], Lisanti, G.[Giuseppe], Ballan, L., del Bimbo, A.[Alberto],
Context-Aware Trajectory Prediction,
ICPR18(1941-1946)
IEEE DOI 1812
Trajectory, Predictive models, Context modeling, Legged locomotion, Cameras, Training, Logic gates BibRef

Mazzeschi, A.[Andrea], Lisanti, G.[Giuseppe], Pernici, F.[Federico], del Bimbo, A.[Alberto],
Scale and Occlusion Invariant Tracking-by-Detection,
CIAP15(II:575-585).
Springer DOI 1511
BibRef

Salvagnini, P.[Pietro], Pernici, F.[Federico], Cristani, M.[Marco], Lisanti, G.[Giuseppe], Masi, I.[Iacopo], del Bimbo, A.[Alberto], Murino, V.[Vittorio],
Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera,
WACV14(893-900)
IEEE DOI 1406
Cameras BibRef

Innocenti, S.U.[Simone Undri], Becattini, F.[Federico], Pernici, F.[Federico], del Bimbo, A.[Alberto],
Temporal Binary Representation for Event-Based Action Recognition,
ICPR21(10426-10432)
IEEE DOI 2105
Deep learning, Computational modeling, Gesture recognition, Benchmark testing, Cameras, Task analysis BibRef

Milan, A.[Anton], Roth, S.[Stefan], Schindler, K.[Konrad],
Continuous Energy Minimization for Multitarget Tracking,
PAMI(36), No. 1, 2014, pp. 58-72.
IEEE DOI 1312
Multiobject tracking BibRef

Milan, A.[Anton], Schindler, K.[Konrad], Roth, S.[Stefan],
Multi-Target Tracking by Discrete-Continuous Energy Minimization,
PAMI(38), No. 10, October 2016, pp. 2054-2068.
IEEE DOI 1609
BibRef
And:
Detection- and Trajectory-Level Exclusion in Multiple Object Tracking,
CVPR13(3682-3689)
IEEE DOI 1309
Data models. Multi-object tracking; tracking-by-detection; visual surveillance BibRef

Milan, A.[Anton], Roth, S.[Stefan], Schindler, K.[Konrad], Kudo, M.[Mineichi],
Privacy Preserving Multi-target Tracking,
HIS14(519-530).
Springer DOI 1504
BibRef

Andriyenko, A.[Anton], Schindler, K.[Konrad],
Multi-target tracking by continuous energy minimization,
CVPR11(1265-1272).
IEEE DOI 1106
BibRef

Andriyenko, A.[Anton], Schindler, K.[Konrad], Roth, S.[Stefan],
Discrete-continuous optimization for multi-target tracking,
CVPR12(1926-1933).
IEEE DOI 1208
BibRef
Earlier: A1, A3, A2:
An analytical formulation of global occlusion reasoning for multi-target tracking,
VS11(1839-1846).
IEEE DOI 1201
BibRef

Milan, A.[Anton], Leal-Taixe, L.[Laura], Schindler, K.[Konrad], Reid, I.D.[Ian D.],
Joint tracking and segmentation of multiple targets,
CVPR15(5397-5406)
IEEE DOI 1510
BibRef

Xiang, J.[Jun], Sang, N.[Nong], Hou, J.H.[Jian-Hua], Huang, R.[Rui], Gao, C.X.[Chang-Xin],
Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking,
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 BibRef

Sun, C., Wang, D., Lu, H.,
Occlusion-Aware Fragment-Based Tracking With Spatial-Temporal Consistency,
IP(25), No. 8, August 2016, pp. 3814-3825.
IEEE DOI 1608
Algorithm design and analysis BibRef

Tao, J.L.[Jun-Li], Franke, U.[Uwe], Klette, R.[Reinhard],
Context-based multi-target tracking with occlusion handling,
MVA(27), No. 8, November 2016, pp. 1339-1349.
Springer DOI 1612
BibRef

Tao, J.L.[Jun-Li], Enzweiler, M.[Markus], Franke, U.[Uwe], Pfeiffer, D.[David], Klette, R.[Reinhard],
What Is in Front? Multiple-Object Detection and Tracking with Dynamic Occlusion Handling,
CAIP15(I:14-26).
Springer DOI 1511
BibRef

Shehzad, M.I.[Muhammad Imran], Shah, Y.A.[Yasir A.], Mehmood, Z.[Zahid], Malik, A.W.[Abdul Waheed], Azmat, S.[Shoaib],
K-Means Based Multiple Objects Tracking with Long-Term Occlusion Handling,
IET-CV(11), No. 1, February 2017, pp. 68-77.
DOI Link 1703
BibRef

Zhang, T.H.[Ting-Hao], Tang, C.W.[Chih-Wei],
Multiple-target tracking on mixed images with reflections and occlusions,
JVCIR(52), 2018, pp. 45-57.
Elsevier DOI 1804
Multi-target tracking, Reflections, Occlusions, Multi-cue integration, Data association BibRef

Shi, X.C.[Xin-Chu], Ling, H.B.[Hai-Bin], Pang, Y.[Yu], Hu, W.M.[Wei-Ming], Chu, P.[Peng], Xing, J.L.[Jun-Liang],
Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking,
IJCV(127), No. 8, August 2019, pp. 1063-1083.
Springer DOI 1907
BibRef

Shi, X.C.[Xin-Chu], Ling, H.B.[Hai-Bin], Hu, W.M.[Wei-Ming], Xing, J.L.[Jun-Liang], Zhang, Y.,
Tensor Power Iteration for Multi-graph Matching,
CVPR16(5062-5070)
IEEE DOI 1612
BibRef

Munjal, B.[Bharti], Aftab, A.R.[Abdul Rafey], Amin, S.[Sikandar], Brandlmaier, M.D.[Meltem D.], Tombari, F.[Federico], Galasso, F.[Fabio],
Joint detection and tracking in videos with identification features,
IVC(100), 2020, pp. 103932.
Elsevier DOI 2008
Detection, Multi-object tracking, Re-identification, Online, Tracking by detection BibRef

Hu, W.M.[Wei-Ming], Shi, X.C.[Xin-Chu], Zhou, Z.W.[Zong-Wei], Xing, J.L.[Jun-Liang], Ling, H.B.[Hai-Bin], Maybank, S.J.[Stephen J.],
Dual L1-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching,
IJCV(128), No. 2, February 2020, pp. 360-392.
Springer DOI 2002
BibRef

Gao, J.[Jin], Xing, J.L.[Jun-Liang], Hu, W.M.[Wei-Ming], Zhang, X.Q.[Xiao-Qin], Hu, R.G.[Rui-Guang],
Multi-object Tracking under Occlusion Using Dual-Mode Graph Embedding,
ACPR13(547-551)
IEEE DOI 1408
BibRef
And: A1, A2, A3, A4, Only:
Graph Embedding Based Semi-supervised Discriminative Tracker,
VOT13(145-152)
IEEE DOI 1403
graph theory. data structures BibRef

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 BibRef

Wang, L.[Lin], Wang, X.F.[Xiao-Fan], Hu, X.M.[Xiao-Ming],
Distributed tracking and connectivity maintenance with a varying velocity leader,
ICARCV12(1824-1829).
IEEE DOI 1304
BibRef

Mishra, P.K.[Pawan Kumar], Saroha, G.P.,
Occlusion handling strategies for multiple moving object classification,
IJCVR(10), No. 2, 2020, pp. 167-184.
DOI Link 2003
BibRef

Tan, X.[Xu], Li, Z.W.[Zheng-Wei], Liang, Q.K.[Qiao-Kang], Sun, W.[Wei], Wang, Y.N.[Yao-Nan], Zhang, D.[Dan],
Sequence-tracker: Multiple object tracking with sequence features in severe occlusion scene,
JVCIR(79), 2021, pp. 103250.
Elsevier DOI 2109
Object tracking, Sequence features, Severe occlusion scene, Sequence-tracker BibRef

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 low viewpoint,
IET-IPR(16), No. 2, 2022, pp. 622-640.
DOI Link 2201
BibRef

Ong, J.[Jonah], Vo, B.T.[Ba-Tuong], Vo, B.N.[Ba-Ngu], Kim, D.Y.[Du Yong], Nordholm, S.E.[Sven E.],
A Bayesian Filter for Multi-View 3D Multi-Object Tracking With Occlusion Handling,
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 refinement for multi-object tracking,
PR(129), 2022, pp. 108738.
Elsevier DOI 2206
Multi-object tracking, Interactions, Occlusions, Data association, Identity verification BibRef

Abbaspour, M.[Mohammadjavad], Masnadi-Shirazi, M.A.[Mohammad Ali],
Online multi-object tracking with d-GLMB filter based on occlusion and identity switch handling,
IVC(127), 2022, pp. 104553.
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 BibRef

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

Wang, P.F.[Peng-Fei], Ding, C.X.[Chang-Xing], Tan, W.T.[Wen-Tao], Gong, M.M.[Ming-Ming], Jia, K.[Kui], Tao, D.C.[Da-Cheng],
Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification,
MultMed(25), 2023, pp. 2624-2635.
IEEE DOI 2307
Feature extraction, Reliability, Training, Noise measurement, Adaptation models, Collaboration, Task analysis, Domain adaptation, unsupervised learning BibRef

Liang, T.Y.[Tian-Yi], Li, B.[Baopu], Wang, M.Z.[Meng-Zhu], Tan, H.[Huibin], Luo, Z.G.[Zhi-Gang],
A Closer Look at the Joint Training of Object Detection and Re-Identification in Multi-Object Tracking,
IP(32), 2023, pp. 267-280.
IEEE DOI 2301
Costs, Training, Object detection, Detectors, Correlation, Feature extraction, Task analysis, Multi-object tacking, loss function BibRef

Xiao, S.T.[Shi-Ting], Wang, Y.F.[Yu-Fu], Perkes, A.[Ammon], Pfrommer, B.[Bernd], Schmidt, M.[Marc], Daniilidis, K.[Kostas], Badger, M.[Marc],
Multi-view Tracking, Re-ID, and Social Network Analysis of a Flock of Visually Similar Birds in an Outdoor Aviary,
IJCV(131), No. 6, June 2023, pp. 1532-1549.
Springer DOI 2305
BibRef


Bai, G.M.[Guang-Ming], Deng, C.H.[Chun-Hua],
Re-identification Loss in Combination Spaces for Multiple Object Tracking,
ICPR22(3550-3556)
IEEE DOI 2212
Measurement, Fuses, Object detection, Benchmark testing, Feature extraction, Complexity theory BibRef

Ogawa, T.[Takuya], Yachida, S.[Shoji], Hosoi, T.[Toshinori],
Multi Object Tracking Based on Uncertainty-Aware RE-ID,
ICIP22(346-350)
IEEE DOI 2211
Measurement, Target tracking, Uncertainty, Benchmark testing, Robustness, Indexes, multi-object tracking, tracking by detection, uncertainty BibRef

He, J.[Jian], Zhong, X.[Xian], Yuan, J.L.[Jing-Ling], Tan, M.[Ming], Zhao, S.L.[Shi-Lei], Zhong, L.[Luo],
Joint Re-Detection and Re-Identification for Multi-Object Tracking,
MMMod22(I:364-376).
Springer DOI 2203
BibRef

Jiang, Z.H.[Zhang-Hao], Xu, K.[Ke], Du, H.[Heshan], Jin, H.[Huan], Lu, Z.[Zheng], Zhang, Q.[Qian],
Occlusion-Invariant Representation Alignment for Entity Re-Identification,
ICIP22(3266-3270)
IEEE DOI 2211
Training, Measurement, Adaptation models, Computational modeling, Network architecture, Siamese network, Domain adaptation, Occlusion invariant 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

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 .


Last update:Oct 22, 2023 at 16:34:17