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0606
Background recovering; Sport video images; Mathematical morphology;
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Figueroa, P.J.,
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0409
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0711
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IEEE DOI
0801
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Xue, J.R.[Jian-Ru],
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Robust Tracking with and Beyond Visible Spectrum:
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0608
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0601
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0609
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0601
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0802
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Robust Methods and Representations for Soccer Player Tracking and
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CIVR05(237-246).
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0507
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van Lieshout, M.N.M.,
Depth Map Calculation for a Variable Number of Moving Objects using
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0806
Tracking process for depth computations. Apply to sports sequences.
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Liu, J.[Jia],
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Automatic Player Detection, Labeling and Tracking in Broadcast Soccer
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Automatic soccer players tracking in goal scenes by camera motion
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0804
Grass field extraction; Lines tracking; Membership identification;
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Graph-Based Multiplayer Detection and Tracking in Broadcast Soccer
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0905
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0905
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Earlier: A1, A2, A4, A3, A5, A6:
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0512
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Leveraging Orientation Knowledge to Enhance Human Pose Estimation
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1608
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Estimation of Human Orientation in Images Captured with a Range Camera,
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1108
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Pierard, S.[Sebastien],
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3DTV10(1-4).
IEEE DOI
1006
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Object tracking using color interest points,
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IEEE DOI
0602
BibRef
Hayet, J.B.,
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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
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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.,
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A novel approach for tracking high speed skaters in sports using a
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PR(42), No. 11, November 2009, pp. 2922-2935.
Elsevier DOI
0907
Tracking; UKF; Hierarchical model; Sports; Short track; Homography
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Luo, Y.[Ying],
Wu, T.D.[Tzong-Der],
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0311
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Video Sequence Modeling by Dynamic Bayesian Networks:
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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
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ICIP94(III: 917-921).
IEEE DOI
9411
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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
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Kong, Y.[Yu],
Zhang, X.Q.[Xiao-Qin],
Hu, W.M.[Wei-Ming],
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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
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Wei, Q.D.[Qing-Di],
Zhang, X.Q.[Xiao-Qin],
Kong, Y.[Yu],
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Compact visual codebook for action recognition,
ICIP10(3805-3808).
IEEE DOI
1009
BibRef
Kong, Y.[Yu],
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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],
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Real-time GPU color-based segmentation of football players,
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Vision system for tracking handball players using fuzzy color
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1306
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Xu, W.C.[Wei-Cun],
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Online Learned Player Recognition Model Based Soccer Player Tracking
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WWW Link.
1402
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Morais, E.[Erikson],
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Cunha, S.A.[Sergio Augusto],
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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
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IEICE(E97-D), No. 7, July 2014, pp. 1885-1892.
WWW Link.
1407
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Wang, Y.X.[Yu-Xuan],
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Multiplayer tracking system for short track speed skating,
IET-CV(8), No. 6, 2014, pp. 629-641.
DOI Link
1502
computer animation
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Wang, Y.X.[Yu-Xuan],
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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
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Sabirin, H.[Houari],
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1509
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Baysal, S.,
Duygulu, P.,
Sentioscope:
A Soccer Player Tracking System Using Model Field Particles,
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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
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RS(8), No. 8, 2016, pp. 671.
DOI Link
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Nezhad, M.S.R.[Mohammad Shafiei Rezvani],
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Ground-truth localisation system for humanoid soccer robots using RGB-D
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Xiao, J.J.[Jing-Jing],
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Dynamic multi-level appearance models and adaptive clustered decision
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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
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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
Dunnhofer, M.[Matteo],
Micheloni, C.[Christian],
Visual tracking in camera-switching outdoor sport videos:
Benchmark and baselines for skiing,
CVIU(243), 2024, pp. 103978.
Elsevier DOI Code:
WWW Link.
2405
BibRef
Wang, R.[Runmin],
Zhu, Y.[Yanbin],
Wan, Z.[Zukun],
Chen, H.[Hua],
Zhu, Z.[Zhenlin],
Zhou, W.X.[Wei-Xin],
Han, C.[Chang],
Ding, Y.J.[Ya-Jun],
A person re-identification method for sports event scenes
incorporating textual information mining,
IET-IPR(18), No. 7, 2024, pp. 1681-1693.
DOI Link Code:
WWW Link.
2405
object detection, text detection
BibRef
Cao, W.[Wei],
Wang, X.Y.[Xiao-Yong],
Liu, X.X.[Xian-Xiang],
Xu, Y.[Yishuai],
A deep learning framework for multi-object tracking in team sports
videos,
IET-CV(18), No. 5, 2024, pp. 574-590.
DOI Link
2408
feature extraction, feature selection, image motion analysis,
neural net architecture, object detection, object tracking, sport
BibRef
Dunnhofer, M.[Matteo],
Sordi, L.[Luca],
Martinel, N.[Niki],
Micheloni, C.[Christian],
Tracking Skiers from the Top to the Bottom,
WACV24(8496-8506)
IEEE DOI Code:
WWW Link.
2404
Visualization, Target tracking, Refining, Cameras, Robustness,
Performance analysis, Applications, Social good, Algorithms,
Video recognition and understanding
BibRef
Huang, H.W.[Hsiang-Wei],
Yang, C.Y.[Cheng-Yen],
Sun, J.C.[Jia-Cheng],
Kim, P.K.[Pyong-Kun],
Kim, K.J.[Kwang-Ju],
Lee, K.[Kyoungoh],
Huang, C.I.[Chung-I],
Hwang, J.N.[Jenq-Neng],
Iterative Scale-Up ExpansionIoU and Deep Features Association for
Multi-Object Tracking in Sports,
RWSurvil24(163-172)
IEEE DOI Code:
WWW Link.
2404
Target tracking, Pedestrians, Codes, Detectors, Benchmark testing
BibRef
Harcombe, G.[Gareth],
Green, R.[Richard],
Neshatian, K.[Kourosh],
Identifying Athletics Tracks using Keypoint Detection,
IVCNZ23(1-7)
IEEE DOI
2403
Training, Error analysis, Computational modeling,
Feature extraction, Data models, Kernel, Root mean square,
running analysis
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 .