17.1.3.8.8 Human Activities, Sports, Player Tracking

Chapter Contents (Back)
Tracking. Player Tracking. Sports.
See also Basketball Tracking, Desctiptions, Line Judge.
See also Football, Soccer, Tracking, Desctiptions, Analysis.
See also Baseball, Cricket, Tracking, Desctiptions, Analysis.

Xu, M., Orwell, J., Lowey, L., Thirde, D.,
Architecture and Algorithms for Tracking Football Players with Multiple Cameras,
VISP(152), No. 2, April 2005, pp. 232-241.
DOI Link 0510
BibRef

Xu, M.[Ming], Orwell, J., Jones, G.A.,
Tracking Football Players with Multiple Cameras,
ICIP04(V: 2909-2912).
IEEE DOI 0505
BibRef

Renno, J.R., Orwell, J., Thirde, D., Jones, G.A.,
Shadow Classification and Evaluation for Soccer Player Detection,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Figueroa, P.J.[Pascual J.], Leite, N.J.[Neucimar J.], Barros, R.M.L.[Ricardo M.L.],
Tracking soccer players aiming their kinematical motion analysis,
CVIU(101), No. 2, February 2005, pp. 122-135.
Elsevier DOI 0512
BibRef

Figueroa, P.J.[Pascual J.], Leite, N.J.[Neucimar J.], Barros, R.M.L.[Ricardo M.L.],
Background recovering in outdoor image sequences: An example of soccer players segmentation,
IVC(24), No. 4, 1 April 2006, pp. 363-374.
Elsevier DOI 0606
Background recovering; Sport video images; Mathematical morphology; Image segmentation BibRef

Figueroa, P.J., Leite, N.J., Barros, R.M.L., Cohen, I., Medioni, G.,
Tracking soccer players using the graph representation,
ICPR04(IV: 787-790).
IEEE DOI 0409
BibRef

Tsai, P.S.[Ping-Sing], Meijome, T.[Todd], Austin, P.G.[Phillip G.],
Scout: a game speed analysis and tracking system,
MVA(18), No. 5, October 2007, pp. 289-299.
Springer DOI 0711
BibRef

Xue, J.R.[Jian-Ru], Zheng, N.N.[Nan-Ning], Geng, J., Zhong, X.P.[Xiao-Pin],
Tracking Multiple Visual Targets via Particle-Based Belief Propagation,
SMC-B(38), No. 1, February 2007, pp. 196-209.
IEEE DOI 0801
BibRef

Xue, J.R.[Jian-Ru], Zheng, N.N.[Nan-Ning],
Robust Tracking with and Beyond Visible Spectrum: A Four-Layer Data Fusion Framework,
IWICPAS06(1-16).
Springer DOI 0608
BibRef

Zhong, X.P.[Xiao-Pin], Zheng, N.N.[Nan-Ning], Xue, J.R.[Jian-Ru],
Pseudo Measurement Based Multiple Model Approach for Robust Player Tracking,
ACCV06(II:781-790).
Springer DOI 0601
BibRef

Xue, J.R.[Jian-Ru], Zheng, N.N.[Nan-Ning], Zhong, X.P.[Xiao-Pin],
An integrated Monte Carlo data association framework for multi-object tracking,
ICPR06(I: 703-706).
IEEE DOI 0609
BibRef
And:
Tracking Targets Via Particle Based Belief Propagation,
ACCV06(I:348-358).
Springer DOI 0601
BibRef

Felip, R.L., Barcelo, L., Binefa, X.[Xavier], Kender, J.R.,
Robust Dominant Motion Estimation Using MPEG Information in Sport Sequences,
CirSysVideo(18), No. 1, January 2008, pp. 12-22.
IEEE DOI 0802
BibRef

Barceló, L.[Lluis], Binefa, X.[Xavier], Kender, J.R.[John R.],
Robust Methods and Representations for Soccer Player Tracking and Collision Resolution,
CIVR05(237-246).
Springer DOI 0507
BibRef

van Lieshout, M.N.M.,
Depth Map Calculation for a Variable Number of Moving Objects using Markov Sequential Object Processes,
PAMI(30), No. 7, July 2008, pp. 1308-1312.
IEEE DOI 0806
Tracking process for depth computations. Apply to sports sequences. BibRef

Liu, J.[Jia], Tong, X.F.[Xiao-Feng], Li, W.L.[Wen-Long], Wang, T.[Tao], Zhang, Y.M.[Yi-Min], Wang, H.Q.[Hong-Qi],
Automatic Player Detection, Labeling and Tracking in Broadcast Soccer Video,
PRL(30), No. 2, 15 January 2009, pp. 103-113,.
Elsevier DOI 0804
BibRef
Earlier: A1, A2, A3, A4, A5, A6: and Yang, B., Sun, L., Yang, S., BMVC07(xx-yy).
PDF File. 0709
Boosting; MCMC; Codebook; Multiple player tracking; Player labeling; Sports video BibRef

Khatoonabadi, S.H.[Seyed Hossein], Rahmati, M.[Mohammad],
Automatic soccer players tracking in goal scenes by camera motion elimination,
IVC(27), No. 4, 3 March 2009, pp. 469-479.
Elsevier DOI 0804
Grass field extraction; Lines tracking; Membership identification; Occlusion reasoning; Players tracking; Soccer goal scenes BibRef

Pallavi, V., Mukherjee, J., Majumdar, A.K., Sural, S.[Shamik],
Graph-Based Multiplayer Detection and Tracking in Broadcast Soccer Videos,
MultMed(10), No. 5, August 2008, pp. 794-805.
IEEE DOI 0905
BibRef

Correa Hernandez, P.C., Czyz, J., Marques, F., Umeda, T., Marichal, X., Macq, B.,
Bayesian Approach for Morphology-Based 2-D Human Motion Capture,
MultMed(9), No. 4, 2007, pp. 754-765.
IEEE DOI 0905
BibRef
Earlier: A1, A2, A4, A3, A5, A6:
Silhouette-Based Probabilistic 2D Human Motion Estimation for Real-Time Applications,
ICIP05(III: 836-839).
IEEE DOI 0512
BibRef

Azrour, S., Piérard, S.[Sébastien], van Droogenbroeck, M.[Marc],
Leveraging Orientation Knowledge to Enhance Human Pose Estimation Methods,
AMDO16(81-87).
Springer DOI 1608
BibRef

Piérard, S.[Sébastien], Leroy, D.[Damien], Hansen, J.F.[Jean-Frédéric], van Droogenbroeck, M.[Marc],
Estimation of Human Orientation in Images Captured with a Range Camera,
ACIVS11(519-530).
Springer DOI 1108
BibRef

Pierard, S.[Sebastien], Pierlot, V.[Vincent], Barnich, O.[Olivier], van Droogenbroeck, M.[Marc], Verly, J.G.[Jacques G.],
A platform for the fast interpretation of movements and localization of users in 3D applications driven by a range camera,
3DTV10(1-4).
IEEE DOI 1006
BibRef

Gabriel, P., Hayet, J.B., Piater, J.F., Verly, J.G.,
Object tracking using color interest points,
AVSBS05(159-164).
IEEE DOI 0602
BibRef

Hayet, J.B., Mathes, T., Czyz, J., Piater, J.H., Verly, J.G., Macq, B.,
A modular multi-camera framework for team sports tracking,
AVSBS05(493-498).
IEEE DOI 0602
BibRef

Du, W.[Wei], Piater, J.[Justus],
A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking,
ECCV08(II: 225-238).
Springer DOI 0810
BibRef
Earlier:
Multi-camera People Tracking by Collaborative Particle Filters and Principal Axis-Based Integration,
ACCV07(I: 365-374).
Springer DOI 0711
BibRef
Earlier:
Multi-view Object Tracking Using Sequential Belief Propagation,
ACCV06(I:684-693).
Springer DOI 0601
BibRef
Earlier:
Tracking by cluster analysis of feature points using a mixture particle filter,
AVSBS05(165-170).
IEEE DOI 0602
BibRef

Hayet, J.B., Piater, J.H., Verly, J.G.,
Robust incremental rectification of sports video sequences,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Liu, G.J.[Guo-Jun], Tang, X.L.[Xiang-Long], Cheng, H.D., Huang, J.H.[Jian-Hua], Liu, J.F.[Jia-Feng],
A novel approach for tracking high speed skaters in sports using a panning camera,
PR(42), No. 11, November 2009, pp. 2922-2935.
Elsevier DOI 0907
Tracking; UKF; Hierarchical model; Sports; Short track; Homography BibRef

Luo, Y.[Ying], Wu, T.D.[Tzong-Der], Hwang, J.N.[Jenq-Neng],
Object-based analysis and interpretation of human motion in sports video sequences by dynamic bayesian networks,
CVIU(92), No. 2-3, November-December 2003, pp. 196-216.
Elsevier DOI 0311
BibRef

Luo, Y.[Ying], Hwang, J.N.[Jenq-Neng],
Video Sequence Modeling by Dynamic Bayesian Networks: A Systematic Approach from Coarse-to-Fine Grains,
ICIP03(II: 615-618).
IEEE DOI 0312
BibRef

Hwang, J.N.[Jenq-Neng], Tseng, Y.H.[Yen-Hao],
Motion estimation of partially viewed 3-D objects based on a continuous distance transform neural network,
ICIP94(III: 917-921).
IEEE DOI 9411
BibRef

Cheng, H.Y.[Hsu-Yung], Hwang, J.N.[Jenq-Neng],
Integrated video object tracking with applications in trajectory-based event detection,
JVCIR(22), No. 7, October 2011, pp. 673-685.
Elsevier DOI 1109
Tracking; Kalman Filter; Adaptive particle sampling; Data Association; Trajectory analysis; Event detection; Intelligent Surveillance; Video Analysis BibRef

Kong, Y.[Yu], Zhang, X.Q.[Xiao-Qin], Hu, W.M.[Wei-Ming], Jia, Y.D.[Yun-De],
Adaptive learning codebook for action recognition,
PRL(32), No. 8, 1 June 2011, pp. 1178-1186.
Elsevier DOI 1101
Action recognition; Visual codebook; Metric learning BibRef

Wei, Q.D.[Qing-Di], Zhang, X.Q.[Xiao-Qin], Kong, Y.[Yu], Hu, W.M.[Wei-Ming], Ling, H.B.[Hai-Bin],
Compact visual codebook for action recognition,
ICIP10(3805-3808).
IEEE DOI 1009
BibRef

Kong, Y.[Yu], Zhang, X.Q.[Xiao-Qin], Wei, Q.D.[Qing-Di], Hu, W.M.[Wei-Ming], Jia, Y.D.[Yun-De],
Group action recognition in soccer videos,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Xing, J., Ai, H., Liu, L., Lao, S.,
Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach With Progressive Observation Modeling,
IP(20), No. 6, June 2011, pp. 1652-1667.
IEEE DOI 1106
BibRef

Hedley, M.[Mark], Zhang, J.[Jian],
Accurate Wireless Localization in Sports,
Computer(45), No. 10, October 2012, pp. 64-70.
IEEE DOI 1210
Not so much image based BibRef

Montañés Laborda, M.A.[Miguel Angel], Torres Moreno, E.F.[Enrique F.], del Rincón, J.M.[Jesús Martínez], Herrero Jaraba, J.E.[José Elías],
Real-time GPU color-based segmentation of football players,
RealTimeIP(7), No. 4, December 2012, pp. 267-279.
WWW Link. 1212
BibRef

Santiago, C.B.[Catarina B.], Sousa, A.[Armando], Reis, L.P.[Luis Paulo],
Vision system for tracking handball players using fuzzy color processing,
MVA(24), No. 5, July 2013, pp. 1055-1074.
WWW Link. 1306
BibRef

Xu, W.C.[Wei-Cun], Zhao, Q.J.[Qing-Jie], Wang, Y.X.[Yu-Xia], Li, X.Y.[Xuan-Ya],
Online Learned Player Recognition Model Based Soccer Player Tracking and Labeling for Long-Shot Scenes,
IEICE(E97-D), No. 1, January 2013, pp. 119-129.
WWW Link. 1402
BibRef

Morais, E.[Erikson], Ferreira, A.[Anselmo], Cunha, S.A.[Sergio Augusto], Barros, R.M.L.[Ricardo M.L.], Rocha, A.[Anderson], Goldenstein, S.K.[Siome K.],
A multiple camera methodology for automatic localization and tracking of futsal players,
PRL(39), No. 1, 2014, pp. 21-30.
Elsevier DOI 1402
Futsal player tracking BibRef

Iwai, K.[Kazuya], Takahashi, S.[Sho], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
Player Tracking in Far-View Soccer Videos Based on Composite Energy Function,
IEICE(E97-D), No. 7, July 2014, pp. 1885-1892.
WWW Link. 1407
BibRef

Wang, Y.X.[Yu-Xuan], Cheng, H.D., Shan, J.[Juan],
Multiplayer tracking system for short track speed skating,
IET-CV(8), No. 6, 2014, pp. 629-641.
DOI Link 1502
computer animation BibRef

Wang, Y.X.[Yu-Xuan], Cheng, H.D., Shan, J.[Juan],
Multiplayer tracking system for short track speed skating,
IET-CV(8), No. 6, 2014, pp. 629-641.
DOI Link 1502
computer animation BibRef

Sabirin, H.[Houari], Sankoh, H.[Hiroshi], Naito, S.[Sei],
Automatic Soccer Player Tracking in Single Camera with Robust Occlusion Handling Using Attribute Matching,
IEICE(E98-D), No. 8, August 2015, pp. 1580-1588.
WWW Link. 1509
BibRef

Barhoumi, W.[Walid],
Detection of highly articulated moving objects by using co-segmentation with application to athletic video sequences,
SIViP(9), No. 7, October 2015, pp. 1705-1715.
WWW Link. 1509
BibRef

Baysal, S., Duygulu, P.,
Sentioscope: A Soccer Player Tracking System Using Model Field Particles,
CirSysVideo(26), No. 7, July 2016, pp. 1350-1362.
IEEE DOI 1608
image filtering BibRef

Fasel, B.[Benedikt], Spörri, J.[Jörg], Gilgien, M.[Matthias], Boffi, G.[Geo], Chardonnens, J.[Julien], Müller, E.[Erich], Aminian, K.[Kamiar],
Three-Dimensional Body and Centre of Mass Kinematics in Alpine Ski Racing Using Differential GNSS and Inertial Sensors,
RS(8), No. 8, 2016, pp. 671.
DOI Link 1609
BibRef

Nezhad, M.S.R.[Mohammad Shafiei Rezvani], Ghiasvand, O.A.[Omid Amir],
Ground-truth localisation system for humanoid soccer robots using RGB-D camera,
IJCVR(7), No. 3, 2017, pp. 285-301.
DOI Link 1704
BibRef

Xiao, J.J.[Jing-Jing], Stolkin, R.[Rustam], Leonardis, A.[Aleš],
Dynamic multi-level appearance models and adaptive clustered decision trees for single target tracking,
PR(69), No. 1, 2017, pp. 169-183.
Elsevier DOI 1706
BibRef
Earlier:
Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models,
CVPR15(4978-4987)
IEEE DOI 1510
BibRef
And:
Multi-target tracking in team-sports videos via multi-level context-conditioned latent behaviour models,
BMVC14(xx-yy).
HTML Version. 1410
BibRef
Earlier:
An Enhanced Adaptive Coupled-Layer LGTracker++,
VOT13(137-144)
IEEE DOI 1403
Single, target, tracking. Kalman filters BibRef

Xiao, J.J.[Jing-Jing], Qiao, L.[Linbo], Stolkin, R.[Rustam], Leonardis, A.[Aleš],
Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes,
ECCV16(IV: 121-136).
Springer DOI 1611
BibRef

Manafifard, M., Ebadi, H., Abrishami-Moghaddam, H.,
A survey on player tracking in soccer videos,
CVIU(159), No. 1, 2017, pp. 19-46.
Elsevier DOI 1706
Survey, Player Tracking. Soccer BibRef

Parisot, P.[Pascaline], de Vleeschouwer, C.[Christophe],
Scene-specific classifier for effective and efficient team sport players detection from a single calibrated camera,
CVIU(159), No. 1, 2017, pp. 74-88.
Elsevier DOI 1706
Detection BibRef

Parisot, P.[Pascaline], Sevilmis, B.[Berk], de Vleeschouwer, C.[Christophe],
Training with Corrupted Labels to Reinforce a Probably Correct Teamsport Player Detector,
ACIVS13(682-694).
Springer DOI 1311
BibRef

Morimitsu, H.[Henrique], Bloch, I.[Isabelle], Cesar, Jr., R.M.[Roberto M.],
Exploring structure for long-term tracking of multiple objects in sports videos,
CVIU(159), No. 1, 2017, pp. 89-104.
Elsevier DOI 1706
BibRef
Earlier: A1, A3, A2:
Attributed Graphs for Tracking Multiple Objects in Structured Sports Videos,
CVSports15(751-759)
IEEE DOI 1602
Multi-object, tracking. Cognition BibRef

Drory, A.[Ami], Zhu, G.[Gao], Li, H.D.[Hong-Dong], Hartley, R.I.[Richard I.],
Automated detection and tracking of slalom paddlers from broadcast image sequences using cascade classifiers and discriminative correlation filters,
CVIU(159), No. 1, 2017, pp. 116-127.
Elsevier DOI 1706
Detection BibRef

Yang, Y.[Ying], Li, D.Y.[Dan-Yang],
Robust player detection and tracking in broadcast soccer video based on enhanced particle filter,
JVCIR(46), No. 1, 2017, pp. 81-94.
Elsevier DOI 1706
Object, tracking BibRef

Direkoglu, C.[Cem], Sah, M.[Melike], O'Connor, N.E.[Noel E.],
Player detection in field sports,
MVA(29), No. 2, February 2018, pp. 187-206.
Springer DOI 1802
BibRef

Lu, K.Y.[Ke-Yu], Chen, J.H.[Jian-Hui], Little, J.J.[James J.], He, H.G.[Han-Gen],
Lightweight convolutional neural networks for player detection and classification,
CVIU(172), 2018, pp. 77-87.
Elsevier DOI 1812
Player detection, Player classification, CNN, Team membership BibRef

Kim, W.J.[Won-Jun],
Multiple object tracking in soccer videos using topographic surface analysis,
JVCIR(65), 2019, pp. 102683.
Elsevier DOI 1912
Multiple object tracking, Topographic surface, Color similarity, Spatial proximity BibRef

Kong, L., Huang, D., Qin, J., Wang, Y.,
A Joint Framework for Athlete Tracking and Action Recognition in Sports Videos,
CirSysVideo(30), No. 2, February 2020, pp. 532-548.
IEEE DOI 2002
Videos, Sports, Target tracking, Object tracking, Task analysis, Feature extraction, Sports video analysis, object tracking, recurrent neural networks BibRef

Zhang, R.H.[Rui-Heng], Wu, L.X.[Ling-Xiang], Yang, Y.K.[Yu-Kun], Wu, W.N.[Wan-Neng], Chen, Y.Q.[Yue-Qiang], Xu, M.[Min],
Multi-Camera Multi-Player Tracking with Deep Player Identification in Sports Video,
PR(102), 2020, pp. 107260.
Elsevier DOI 2003
Identity switch, Multi-target multi-camera tracking, Object detection, Player identification, CNN BibRef

Yang, Y.K.[Yu-Kun], Zhang, R.H.[Rui-Heng], Wu, W.N.[Wan-Neng], Peng, Y.[Yu], Xu, M.[Min],
Multi-camera Sports Players 3D Localization with Identification Reasoning,
ICPR21(4497-4504)
IEEE DOI 2105
Location awareness, Object segmentation, Probabilistic logic, Pattern recognition, Reliability BibRef

Kong, L., Huang, D., Wang, Y.,
Long-Term Action Dependence-Based Hierarchical Deep Association for Multi-Athlete Tracking in Sports Videos,
IP(29), 2020, pp. 7957-7969.
IEEE DOI 2007
Videos, Robustness, Games, Databases, Task analysis, Trajectory, Multi-object tracking, sports video analysis, siamese network BibRef

Einfalt, M., Lienhart, R.,
Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings,
CVSports20(3901-3910)
IEEE DOI 2008
Tracking, Event detection, Cameras, Motion segmentation, Merging BibRef

Penate-Sanchez, A.[Adrian], Freire-Obregón, D.[David], Lorenzo-Melián, A.[Adrián], Lorenzo-Navarro, J.[Javier], Castrillón-Santana, M.[Modesto],
TGC20ReId: A dataset for sport event re-identification in the wild,
PRL(138), 2020, pp. 355-361.
Elsevier DOI 1806
Dataset, Sports. Sport, Re-identification, Dataset BibRef

Arbués-Sangüesa, A., Martín, A., Fernández, J., Rodríguez, C., Haro, G., Ballester, C.,
Always Look On The Bright Side Of The Field: Merging Pose And Contextual Data To Estimate Orientation Of Soccer Players,
ICIP20(1506-1510)
IEEE DOI 2011
Estimation, Hip, Merging, Data visualization, Soccer, Data Visualization BibRef

Rahimi, S.[Saeed], Moore, A.B.[Antoni B.], Whigham, P.A.[Peter A.],
Beyond Objects in Space-Time: Towards a Movement Analysis Framework with 'How' and 'Why' Elements,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Feng, T.[Tao], Ji, K.[Kaifan], Bian, A.[Ang], Liu, C.[Chang], Zhang, J.Z.[Jian-Zhou],
Identifying players in broadcast videos using graph convolutional network,
PR(124), 2022, pp. 108503.
Elsevier DOI 2203
Graph representation learning, Graph embedding, Pre-trained model, Player identification BibRef

Chowdhury, P.N.[Pinaki Nath], Shivakumara, P.[Palaiahnakote], Raghavendra, R.[Ramachandra], Nag, S.[Sauradip], Pal, U.[Umapada], Lu, T.[Tong], Lopresti, D.[Daniel],
An Episodic Learning Network for Text Detection on Human Bodies in Sports Images,
CirSysVideo(32), No. 4, April 2022, pp. 2279-2289.
IEEE DOI 2204
Sports, Clothing, Faces, Torso, Skin, Videos, Shape, Clothing detection, residual network, region proposal network, text detection, multimedia content management BibRef

Liu, H.Y.[Heng-Yue], Bhanu, B.[Bir],
JEDE: Universal Jersey Number Detector for Sports,
CirSysVideo(32), No. 11, November 2022, pp. 7894-7909.
IEEE DOI 2211
Sports, Feature extraction, Proposals, Optical character recognition software, Games, video analysis BibRef

He, R.[Rui], Fu, Z.[Zehua], Liu, Q.J.[Qing-Jie], Wang, Y.H.[Yun-Hong], Chen, X.[Xunxun],
D 3: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos,
ACCV22(VII:467-484).
Springer DOI 2307
BibRef


Ludwig, K.[Katja], Lorenz, J.[Julian], Schön, R.[Robin], Lienhart, R.[Rainer],
All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes,
CVSports23(5179-5187)
IEEE DOI 2309
BibRef

Pandya, Y.[Yash], Nandy, K.[Kaustav], Agarwal, S.[Shivam],
Homography based Player Identification in Live Sports,
CVSports23(5209-5218)
IEEE DOI 2309
BibRef

Ingwersen, C.K.[Christian Keilstrup], Mikkelstrup, C.M.[Christian Møller], Jensen, J.N.[Janus Nørtoft], Hannemose, M.R.[Morten Rieger], Dahl, A.B.[Anders Bjorholm],
SportsPose - A Dynamic 3D sports pose dataset,
CVSports23(5219-5228)
IEEE DOI 2309
BibRef

Baumgartner, T.[Tobias], Klatt, S.[Stefanie],
Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration,
CVSports23(5109-5118)
IEEE DOI 2309
BibRef

Huang, H.W.[Hsiang-Wei], Yang, C.Y.[Cheng-Yen], Ramkumar, S.[Samartha], Huang, C.I.[Chung-I], Hwang, J.N.[Jenq-Neng], Kim, P.K.[Pyong-Kun], Lee, K.[Kyoungoh], Kim, K.[Kwangju],
Observation Centric and Central Distance Recovery for Athlete Tracking,
WinterSports23(454-460)
IEEE DOI 2302
Target tracking, Conferences, Pipelines, Object detection, Prediction algorithms, Robustness BibRef

Hu, S.N.[Sheng-Nan], Sukthankar, G.[Gita],
Predicting Team Performance with Spatial Temporal Graph Convolutional Networks,
ICPR22(2342-2348)
IEEE DOI 2212
Motion segmentation, Dynamics, Games, Predictive models, Logic gates, Spatiotemporal phenomena BibRef

Vats, K.[Kanav], McNally, W.[William], Walters, P.[Pascale], Clausi, D.A.[David A.], Zelek, J.S.[John S.],
Ice hockey player identification via transformers and weakly supervised learning,
CVSports22(3450-3459)
IEEE DOI 2210
Training, Optical character recognition, Supervised learning, Games, Transformers, Ice BibRef

Maglo, A.[Adrien], Orcesi, A.[Astrid], Pham, Q.C.[Quoc-Cuong],
Efficient tracking of team sport players with few game-specific annotations,
CVSports22(3460-3470)
IEEE DOI 2210
Learning systems, Annotations, Games, Video surveillance, Transformers, Feature extraction BibRef

Zhu, K.[Kevin], Wong, A.[Alexander], McPhee, J.[John],
FenceNet: Fine-grained Footwork Recognition in Fencing,
CVSports22(3588-3597)
IEEE DOI 2210
Data analysis, Measurement units, Limiting, Fuses, Manuals, Sensor fusion, Skeleton BibRef

Freire-Obregón, D.[David], Lorenzo-Navarro, J.[Javier], Castrillón-Santana, M.[Modesto],
Decontextualized I3D ConvNet for Ultra-Distance Runners Performance Analysis at a Glance,
CIAP22(III:242-253).
Springer DOI 2205
BibRef

Choi, Y.[Yapkan], Napolean, Y.[Yeshwanth], van Gemert, J.C.[Jan C.],
The Arm-Swing is Discriminative in Video Gait Recognition for Athlete Re-Identification,
ICIP21(2309-2313)
IEEE DOI 2201
Torso, Image segmentation, Image recognition, Annotations, Semantics, Feature extraction, Video person re-identification, human semantic parsing BibRef

Koshkina, M.[Maria], Pidaparthy, H.[Hemanth], Elder, J.H.[James H.],
Contrastive Learning for Sports Video: Unsupervised Player Classification,
CVSports21(4523-4531)
IEEE DOI 2109
Training, Heating systems, Image color analysis, Games, Real-time systems BibRef

Sunal, C.E.[Cem Ekin], Willcocks, C.G.[Chris G.], Obara, B.[Boguslaw],
Real Time Fencing Move Classification and Detection at Touch Time during a Fencing Match,
ICPR21(5760-5766)
IEEE DOI 2105
Deep learning, Software packages, Decision making, Supervised learning, Tools, Cameras, Computer Vision and Supervised Learning BibRef

Ohishi, Y.[Yasunori], Tanaka, Y.[Yuki], Kashino, K.[Kunio],
Unsupervised Co-Segmentation for Athlete Movements and Live Commentaries Using Crossmodal Temporal Proximity,
ICPR21(9137-9142)
IEEE DOI 2105
TV, Knowledge acquisition, Supervised learning, Games, Pattern recognition, Task analysis, Sports BibRef

Benaim, S.[Sagie], Ephrat, A.[Ariel], Lang, O.[Oran], Mosseri, I.[Inbar], Freeman, W.T.[William T.], Rubinstein, M.[Michael], Irani, M.[Michal], Dekel, T.[Tali],
SpeedNet: Learning the Speediness in Videos,
CVPR20(9919-9928)
IEEE DOI 2008
Measure the speed. Videos, Task analysis, Predictive models, Training, Cameras, Legged locomotion, Visualization BibRef

Cioppa, A., Deliege, A., Ul Huda, N., Gade, R., van Droogenbroeck, M., Moeslund, T.B.,
Multimodal and multiview distillation for real-time player detection on a football field,
CVSports20(3846-3855)
IEEE DOI 2008
Cameras, Lighting, Calibration, Streaming media, Real-time systems, Task analysis BibRef

Sverrisson, S.[Sigurdur], Grancharov, V.[Volodya], Pobloth, H.[Harald],
Real-Time Tracking-by-Detection in Broadcast Sports Videos,
SCIA19(399-411).
Springer DOI 1906
BibRef

Wu, E., Koike, H.,
FuturePose - Mixed Reality Martial Arts Training Using Real-Time 3D Human Pose Forecasting With a RGB Camera,
WACV19(1384-1392)
IEEE DOI 1904
cameras, helmet mounted displays, image motion analysis, image sequences, learning (artificial intelligence), neural nets, Lattices BibRef

Ran, N.[Nan], Kong, L.T.[Long-Teng], Wang, Y.H.[Yun-Hong], Liu, Q.J.[Qing-Jie],
A Robust Multi-Athlete Tracking Algorithm by Exploiting Discriminant Features and Long-Term Dependencies,
MMMod19(I:411-423).
Springer DOI 1901
BibRef

Huda, N.U., Jensen, K.H., Gade, R., Moeslund, T.B.,
Estimating the Number of Soccer Players Using Simulation-Based Occlusion Handling,
CVSports18(1905-190509)
IEEE DOI 1812
Cameras, Sports, Estimation, Image color analysis, Motion segmentation, Tracking, BibRef

Li, G., Xu, S., Liu, X., Li, L., Wang, C.,
Jersey Number Recognition with Semi-Supervised Spatial Transformer Network,
CVSports18(1864-18647)
IEEE DOI 1812
Feature extraction, Sports, Videos, Neural networks, Image recognition, Data models, Task analysis BibRef

Fernando, T., Sridharan, S., Fookes, C., Denman, S.,
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-agent Trajectories,
CVSports18(1803-180309)
IEEE DOI 1812
Trajectory, Sports, Dictionaries, Machine learning, Task analysis, Decision trees, Predictive models BibRef

Senocak, A.[Arda], Oh, T.H.[Tae-Hyun], Kim, J.[Junsik], Kweon, I.S.[In So],
Part-Based Player Identification Using Deep Convolutional Representation and Multi-scale Pooling,
CVSports18(1813-18137)
IEEE DOI 1812
Videos, Cameras, Task analysis, Visualization, Training, Sports, Face recognition BibRef

Neher, H., Vats, K., Wong, A., Clausi, D.A.,
HyperStackNet: A Hyper Stacked Hourglass Deep Convolutional Neural Network Architecture for Joint Player and Stick Pose Estimation in Hockey,
CRV18(313-320)
IEEE DOI 1812
Sports, Pose estimation, Heating systems, Ice, Neural networks, Hidden Markov models, ice hockey, pose estimation, neural networks BibRef

Felsen, P., Agrawal, P., Malik, J.,
What will Happen Next? Forecasting Player Moves in Sports Videos,
ICCV17(3362-3371)
IEEE DOI 1802
game theory, learning (artificial intelligence), sport, video signal processing, algorithmic solution, Visualization BibRef

Weeratunga, K., Dharmaratne, A., How, K.B.,
Application of Computer Vision and Vector Space Model for Tactical Movement Classification in Badminton,
CVSports17(132-138)
IEEE DOI 1709
Data mining, Extraterrestrial measurements, Games, Image segmentation, Trajectory BibRef

Rahimi, A.M., Kolouri, S., Bhattacharyya, R.,
Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis,
CVSports17(139-146)
IEEE DOI 1709
Correlation, Games, Radiation detectors, Radon, Real-time systems, Trajectory, Transforms BibRef

Hedayati, M., Cree, M.J., Scott, J.,
Scene structure analysis for sprint sports,
ICVNZ16(1-5)
IEEE DOI 1701
Analytical models BibRef

Fang, Y., Wei, S.L., Sik, J.G.,
Multi-player Detection with Articulated Mixtures-of-Parts Representation Constrained by Global Appearance,
CRV16(416-423)
IEEE DOI 1612
ADIPIS BibRef

Miyamoto, R.[Ryusuke], Kobayashi, S.[Shingo],
Object Detection Based on Image Blur Using Spatial-Domain Filtering with Haar-Like Features,
ISVC16(I: 298-308).
Springer DOI 1701

See also Partially Parallel Architecture for AdaBoost-Based Detection with Haar-Like Features. BibRef

Miyamoto, R.[Ryusuke], Oki, T.[Takuro],
Soccer Player Detection with only Color Features Selected Using Informed Haar-like Features,
ACIVS16(238-249).
Springer DOI 1611
BibRef

Lee, N., Kitani, K.M.,
Predicting wide receiver trajectories in American football,
WACV16(1-9)
IEEE DOI 1511
Dynamics BibRef

Faulkner, H., Dick, A.,
AFL Player Detection and Tracking,
DICTA15(1-8)
IEEE DOI 1603
image motion analysis BibRef

Soomro, K., Khokhar, S.[Salman], Shah, M.[Mubarak],
Tracking When the Camera Looks Away,
CVSports15(742-750)
IEEE DOI 1602
Analytical models; Cameras; Games; TV; Tracking; Videos BibRef

Gerke, S., Singh, S., Linnemann, A., Ndjiki-Nya, P.,
Unsupervised color classifier training for soccer player detection,
VCIP13(1-5)
IEEE DOI 1402
edge detection BibRef

Varadarajan, J.[Jagannadan], Atmosukarto, I.[Indriyati], Ahuja, S.[Shaunak], Ghanem, B.[Bernard], Ahuja, N.[Narendra],
A Topic Model Approach to Representing and Classifying Football Plays,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Chen, J.H.[Jian-Hui], Carr, P.[Peter],
Mimicking Human Camera Operators,
WACV15(215-222)
IEEE DOI 1503
Cameras. Filming team sports. BibRef

Liu, J.C.[Jing-Chen], Carr, P.[Peter], Collins, R.T.[Robert T.], Liu, Y.X.[Yan-Xi],
Tracking Sports Players with Context-Conditioned Motion Models,
CVPR13(1830-1837)
IEEE DOI 1309
data association BibRef

Liu, J.C.[Jing-Chen], Collins, R.T.[Robert T.], Liu, Y.X.[Yan-Xi],
Automatic Surveillance Camera Calibration without Pedestrian Tracking,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Liu, J.C.[Jing-Chen], Liu, Y.X.[Yan-Xi],
Multi-target tracking of time-varying spatial patterns,
CVPR10(1839-1846).
IEEE DOI 1006
BibRef

Bo, Y.H.[Yi-Hang], Jiang, H.[Hao],
Scale and Rotation Invariant Approach to Tracking Human Body Part Regions in Videos,
CVSports13(1041-1047)
IEEE DOI 1309
Tracking regions;human pose;scale and rotation invariant BibRef

Fastovets, M.[Mykyta], Guillemaut, J.Y.[Jean-Yves], Hilton, A.[Adrian],
Athlete Pose Estimation from Monocular TV Sports Footage,
CVSports13(1048-1054)
IEEE DOI 1309
constrained optimisation BibRef

Atmosukarto, I.[Indriyati], Ghanem, B.[Bernard], Ahuja, S.[Shaunak], Muthuswamy, K.[Karthik], Ahuja, N.[Narendra],
Automatic Recognition of Offensive Team Formation in American Football Plays,
CVSports13(991-998)
IEEE DOI 1309
American football plays;formation;recognition BibRef

Landry, T.[Tom], Gagnon, L.[Langis], Laurendeau, D.[Denis],
A GIS-Centric Optical Tracking System and Lap Simulator for Short Track Speed Skating,
CRV13(288-294)
IEEE DOI 1308
Calibration BibRef

Frejlichowski, D.[Dariusz],
A Method for Data Extraction from Video Sequences for Automatic Identification of Football Players Based on Their Numbers,
CIAP11(I: 356-364).
Springer DOI 1109
BibRef

Yao, A.[Angela], Uebersax, D.[Dominique], Gall, J.[Juergen], Van Gool, L.J.[Luc J.],
Tracking People in Broadcast Sports,
DAGM10(151-161).
Springer DOI 1009
BibRef

Harguess, J.[Josh], Aggarwal, J.K.,
Semantic labeling of track events using time series segmentation and shape analysis,
ICIP09(4317-4320).
IEEE DOI 0911
BibRef

Miura, J.[Jun], Kubo, H.[Hiroyuki],
Tracking players in highly complex scenes in broadcast soccer video using a constraint satisfaction approach,
CIVR08(505-514). 0807
BibRef

Krahnstoever, N.[Nils],
Commentary Paper 1 on 'Visual Players Detection and Tracking in Soccer Matches',
AVSBS08(334-335).
IEEE DOI 0809

See also Visual Players Detection and Tracking in Soccer Matches. BibRef

Lipton, A.J.[Alan J.],
Commentary Paper 2 on 'Visual Players Detection and Tracking in Soccer Matches',
AVSBS08(336-336).
IEEE DOI 0809

See also Visual Players Detection and Tracking in Soccer Matches. BibRef

Malik, H.[Hafiz],
Commentary Paper 3 on Visual Players Detection and Tracking in Soccer Matches,
AVSBS08(337-338).
IEEE DOI 0809

See also Visual Players Detection and Tracking in Soccer Matches. BibRef

Panagiotakis, C.[Costas], Ramasso, E.[Emmanuel], Tziritas, G.[Georgios], Rombaut, M.[Michèle], Pellerin, D.[Denis],
Shape-Motion Based Athlete Tracking for Multilevel Action Recognition,
AMDO06(385-394).
Springer DOI 0607
BibRef

Tang, H.B.[Hua-Bin], Wang, L.[Lei], Sun, Z.Q.[Zeng-Qi],
Accurate and stable vision in robot soccer,
ICARCV04(III: 2314-2319).
IEEE DOI 0412
BibRef

Sato, K., Aggarwal, J.K.,
Tracking soccer players using broadcast TV images,
AVSBS05(546-551).
IEEE DOI 0602
BibRef

Li, Y., Dore, A., Orwell, J.,
Evaluating the performance of systems for tracking football players and ball,
AVSBS05(632-637).
IEEE DOI 0602
BibRef

Kangarloo, K.[Kaveh], Kabir, E.[Ehsanollah],
Grass Field Segmentation, the First Step Toward Player Tracking, Deep Compression, and Content Based Football Image Retrieval,
ICIAR04(I: 818-824).
Springer DOI 0409
BibRef
And:
Sequential Probabilistic Grass Field Segmentation of Soccer Video Images,
IWCIA04(639-645).
Springer DOI 0505
BibRef

Watanabe, T., Haseyama, M., Kitajima, H.,
A soccer field tracking method with wire frame model from tv images,
ICIP04(III: 1633-1636).
IEEE DOI 0505
BibRef

Marchesotti, L., Vernazza, G., Regazzoni, C.S.,
A multicamera fusion framework for multiple occluding objects tracking in intelligent monitoring and sport viewing applications,
ICIP04(II: 1033-1036).
IEEE DOI 0505
BibRef

Iwase, S., Saito, H.,
Parallel tracking of all soccer players by integrating detected positions in multiple view images,
ICPR04(IV: 751-754).
IEEE DOI 0409
BibRef

Misu, T., Naemura, M., Zheng, W.T.[Wen-Tao], Izurni, Y., Fukui, K.,
Robust tracking of soccer players based on data fusion,
ICPR02(I: 556-561).
IEEE DOI 0211
BibRef

Needham, C.J.[Chris J.], Boyle, R.D.[Roger D.],
Tracking multiple sports players through occlusion, congestion and scale,
BMVC01(Session 2: Tracking &. Sequences).
HTML Version. University of Leeds 0110
BibRef

Tomita, A., Echigo, T., Kurokawa, M.,
A Visual Tracking System for Sports Video Annotation in Unconstrained Environments,
ICIP00(Vol III: 242-245).
IEEE DOI 0008
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Activities, Sports, Summaries, Highlights .


Last update:Mar 16, 2024 at 20:36:19