Liu, S.[Song],
Xu, M.[Min],
Yi, H.R.[Hao-Ran],
Chia, L.T.[Liang-Tien],
Rajan, D.[Deepu],
Multimodal Semantic Analysis and Annotation for Basketball Video,
JASP(2006), No. 1, January 2006, pp. 1-13.
WWW Link.
0603
BibRef
Chen, H.T.[Hua-Tsung],
Tien, M.C.[Ming-Chun],
Chen, Y.W.[Yi-Wen],
Tsai, W.J.[Wen-Jiin],
Lee, S.Y.[Suh-Yin],
Physics-based ball tracking and 3D trajectory reconstruction with
applications to shooting location estimation in basketball video,
JVCIR(20), No. 3, April 2009, pp. 204-216.
Elsevier DOI
0903
Shot classification; Object tracking; Sports video analysis; Camera
calibration; Semantic analysis; Multimedia system; 3D trajectory
reconstruction
BibRef
Chen, H.T.[Hua-Tsung],
Chou, C.L.[Chien-Li],
Fu, T.S.[Tsung-Sheng],
Lee, S.Y.[Suh-Yin],
Lin, B.S.P.[Bao-Shuh P.],
Recognizing tactic patterns in broadcast basketball video using player
trajectory,
JVCIR(23), No. 6, August 2012, pp. 932-947.
Elsevier DOI
1208
Sports video analysis; Object tracking; Camera calibration; Multimedia
system; Tactic analysis; Kalman filter; Pattern recognition; Broadcast
basketball video
BibRef
Fu, T.S.[Tsung-Sheng],
Chen, H.T.[Hua-Tsung],
Chou, C.L.[Chien-Li],
Tsai, W.J.[Wen-Jiin],
Lee, S.Y.[Suh-Yin],
Screen-strategy analysis in broadcast basketball video using player
tracking,
VCIP11(1-4).
IEEE DOI
1201
BibRef
Perse, M.[Matej],
Kristan, M.[Matej],
Kovacic, S.[Stanislav],
Vuckovic, G.[Goran],
Pers, J.[Janez],
A trajectory-based analysis of coordinated team activity in a
basketball game,
CVIU(113), No. 5, May 2009, pp. 612-621.
Elsevier DOI
0904
Complex behavior; Behavior recognition; Play segmentation; Semantic
description; Basketball
BibRef
Kristan, M.[Matej],
Pers, J.[Janez],
Perse, M.[Matej],
Kovacic, S.[Stanislav],
Closed-world tracking of multiple interacting targets for indoor-sports
applications,
CVIU(113), No. 5, May 2009, pp. 598-611.
Elsevier DOI
0904
Tracking; Sport; Closed world; Particle filter; Multiple targets;
Color histograms; Dynamic models; Local smoothing; Voronoi
partitioning
BibRef
Kristan, M.[Matej],
Pers, J.[Janez],
Kovacic, S.[Stanislav],
Leonardis, A.,
A local-motion-based probabilistic model for visual tracking,
PR(42), No. 9, September 2009, pp. 2160-2168.
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0905
Local motion; Probabilistic visual models; Visual tracking; Occlusion
BibRef
Cehovin, L.[Luka],
Kristan, M.[Matej],
Leonardis, A.[Ales],
Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model,
PAMI(35), No. 4, April 2013, pp. 941-953.
IEEE DOI
1303
BibRef
Earlier:
An adaptive coupled-layer visual model for robust visual tracking,
ICCV11(1363-1370).
IEEE DOI
1201
BibRef
Cehovin, L.[Luka],
Leonardis, A.[Ales],
Kristan, M.[Matej],
Visual Object Tracking Performance Measures Revisited,
IP(25), No. 3, March 2016, pp. 1261-1274.
IEEE DOI
1602
BibRef
And:
Robust visual tracking using template anchors,
WACV16(1-8)
IEEE DOI
1511
Current measurement.
Adaptation models
BibRef
Kristan, M.[Matej],
Kovacic, S.[Stanislav],
Leonardis, A.,
Pers, J.[Janez],
A Two-Stage Dynamic Model for Visual Tracking,
SMC-B(40), No. 6, December 2010, pp. 1505-1520.
IEEE DOI
1011
BibRef
Pers, J.[Janez],
Kovacic, S.[Stanislav],
Tracking People in Sport:
Making Use of Partially Controlled Environment,
CAIP01(374 ff.).
Springer DOI
0210
Two cameras, tracking in handball court.
BibRef
Perse, M.[Matej],
Kristan, M.[Matej],
Pers, J.[Janez],
Music, G.[Gasper],
Vuckovic, G.[Goran],
Kovacic, S.[Stanislav],
Analysis of multi-agent activity using petri nets,
PR(43), No. 4, April 2010, pp. 1491-1501.
Elsevier DOI
1002
Multi-agent activity analysis; Activity recognition and evaluation;
Trajectories; Basketball analysis
BibRef
Chen, F.[Fan],
de Vleeschouwer, C.[Christophe],
Personalized production of basketball videos from multi-sensored data
under limited display resolution,
CVIU(114), No. 6, June 2010, pp. 667-680.
Elsevier DOI
1006
BibRef
Earlier:
Automatic production of personalized basketball video summaries from
multi-sensored data,
ICIP10(565-568).
IEEE DOI
1009
Content repurposing; Multi-sensored data fusion; Autonomous content production
BibRef
Chen, F.,
Delannay, D.,
de Vleeschouwer, C.,
An Autonomous Framework to Produce and Distribute Personalized
Team-Sport Video Summaries: A Basketball Case Study,
MultMed(13), No. 6, 2011, pp. 1381-1394.
IEEE DOI
1112
BibRef
Hu, M.C.,
Chang, M.H.,
Wu, J.L.,
Chi, L.,
Robust Camera Calibration and Player Tracking in Broadcast Basketball
Video,
MultMed(13), No. 2, 2011, pp. 266-279.
IEEE DOI
1103
BibRef
Chen, W.,
Lao, T.,
Xia, J.,
Huang, X.,
Zhu, B.,
Hu, W.,
Guan, H.,
GameFlow: Narrative Visualization of NBA Basketball Games,
MultMed(18), No. 11, November 2016, pp. 2247-2256.
IEEE DOI
1609
data visualisation
BibRef
Pan, Z.G.[Zhi-Guo],
Li, C.[Chao],
Robust basketball sports recognition by leveraging motion block
estimation,
SP:IC(83), 2020, pp. 115784.
Elsevier DOI
2003
Human action recognition, Human-computer interaction,
Sports narrative, Motion block estimation
BibRef
Chen, L.[Li],
Wang, W.B.[Wen-Bo],
Analysis of technical features in basketball video based on deep
learning algorithm,
SP:IC(83), 2020, pp. 115786.
Elsevier DOI
2003
Basketball, Movement analysis, HCI, Video, CNN, RNN, Encoder-decoder
BibRef
Wu, L.,
Yang, Z.,
He, J.,
Jian, M.,
Xu, Y.,
Xu, D.,
Chen, C.W.,
Ontology-Based Global and Collective Motion Patterns for Event
Classification in Basketball Videos,
CirSysVideo(30), No. 7, July 2020, pp. 2178-2190.
IEEE DOI
2007
Videos, Semantics, Sports, Cameras, Motion segmentation,
Feature extraction, Optical imaging, Event classification,
ontology
BibRef
Hauri, S.[Sandro],
Djuric, N.[Nemanja],
Radosavljevic, V.[Vladan],
Vucetic, S.[Slobodan],
Multi-Modal Trajectory Prediction of NBA Players,
WACV21(1639-1648)
IEEE DOI
2106
Measurement, Computational modeling,
Decision making, Games, Computer architecture
BibRef
Wu, L.F.[Li-Fang],
Li, Z.[Zeyu],
Xiang, Y.[Ye],
Jian, M.[Meng],
Shen, J.L.[Jia-Lie],
Latent label mining for group activity recognition in basketball
videos,
IET-IPR(15), No. 14, 2021, pp. 3487-3497.
DOI Link
2112
BibRef
Zhu, L.Y.[Lu-Yang],
Rematas, K.[Konstantinos],
Curless, B.L.[Brian L.],
Seitz, S.M.[Steven M.],
Kemelmacher-Shlizerman, I.[Ira],
Reconstructing NBA Players,
ECCV20(V:177-194).
Springer DOI
2011
BibRef
Li, Q.Y.[Qin-Yu],
Chen, L.J.[Li-Jun],
Wang, H.L.[Han-Li],
Liu, X.H.[Xian-Hui],
Wonderful Clips of Playing Basketball:
A Database for Localizing Wonderful Actions,
MMMod20(I:445-454).
Springer DOI
2003
BibRef
Shi, J.,
Chan, A.,
Bertasius, G.,
Egocentric Basketball Motion Planning from a Single First-Person
Image,
CVPR18(5889-5898)
IEEE DOI
1812
Cameras, Trajectory, Games, Head,
Hidden Markov models, Data models
BibRef
Tsai, T.Y.,
Lin, Y.Y.,
Liao, H.Y.M.,
Jeng, S.K.,
Recognizing offensive tactics in broadcast basketball videos via key
player detection,
ICIP17(880-884)
IEEE DOI
1803
Labeling, Semantics, Support vector machines, Training,
Training data, Trajectory, Videos, group behavior analysis,
video understanding
BibRef
Shi, J.,
Bertasius, G.,
Using Cross-Model EgoSupervision to Learn Cooperative Basketball
Intention,
Egocentric17(2355-2363)
IEEE DOI
1802
Cameras, Pose estimation, Training, Transforms, Videos, Visualization
BibRef
Yeh, C.W.[Chung-Wei],
Pan, T.Y.[Tse-Yu],
Hu, M.C.[Min-Chun],
A Sensor-Based Official Basketball Referee Signals Recognition System
Using Deep Belief Networks,
MMMod17(I: 565-575).
Springer DOI
1701
BibRef
Bertasius, G.,
Park, H.S.,
Yu, S.X.,
Shi, J.,
Unsupervised Learning of Important Objects from First-Person Videos,
ICCV17(1974-1982)
IEEE DOI
1802
cameras, image segmentation, multi-agent systems, object detection,
unsupervised learning, video signal processing, VSN,
Visualization
BibRef
Bertasius, G.,
Park, H.S.,
Yu, S.X.,
Shi, J.,
Am I a Baller? Basketball Performance Assessment from First-Person
Videos,
ICCV17(2196-2204)
IEEE DOI
1802
Gaussian processes, cameras, image motion analysis,
learning (artificial intelligence), mixture models, sport,
Visualization
BibRef
Su, S.,
Hong, J.P.,
Shi, J.,
Park, H.S.,
Predicting Behaviors of Basketball Players from First Person Videos,
CVPR17(1206-1215)
IEEE DOI
1711
Cameras, Optical imaging, Semantics,
Trajectory, Videos, Visualization
BibRef
Liu, W.[Wu],
Liu, J.Y.[Jiang-Yu],
Gu, X.Y.[Xiao-Yan],
Liu, K.[Kun],
Dai, X.W.[Xiao-Wei],
Ma, H.D.[Hua-Dong],
Deep Learning Based Intelligent Basketball Arena with Energy Image,
MMMod17(I: 601-613).
Springer DOI
1701
BibRef
Wei, X.,
Sha, L.,
Lucey, P.[Patrick],
Carr, P.[Peter],
Sridharan, S.[Sridha],
Matthews, I.[Iain],
Predicting Ball Ownership in Basketball from a Monocular View Using
Only Player Trajectories,
CVSports15(780-787)
IEEE DOI
1602
Cameras
See also Recognising Team Activities from Noisy Data.
BibRef
Chen, C.M.[Chun-Min],
Chen, L.H.[Ling-Hwei],
Novel framework for sports video analysis: A basketball case study,
ICIP14(961-965)
IEEE DOI
1502
Clocks
BibRef
Wu, L.S.[Lian-Shi],
Xia, L.M.[Li-Min],
Wang, Q.[Qian],
Luo, D.Y.[Da-Yong],
Ball Carrier Detection and Behavior Recognition in Basketball Match
Using Covariance Descriptor,
IASP11(89-93).
IEEE DOI
1112
BibRef
Li, L.[Li],
Chen, Y.[Ying],
Hu, W.M.[Wei-Ming],
Li, W.Q.[Wan-Qing],
Zhang, X.Q.[Xiao-Qin],
Recognition of Semantic Basketball Events Based on Optical Flow
Patterns,
ISVC09(II: 480-488).
Springer DOI
0911
BibRef
Han, X.L.[Xiu-Li],
Wu, L.F.[Li-Fang],
Liu, X.S.[Xing-Sheng],
Cheng, Z.H.[Zhao-Hui],
Gong, Y.[Yu],
Offense-defense semantic analysis of basketball game based on motion
vector,
IASP09(146-149).
IEEE DOI
0904
BibRef
Wu, L.F.[Li-Fang],
Meng, X.L.[Xiang-Long],
Liu, X.[Xun],
Chen, S.J.[Shi-Ju],
A New Method of Object Segmentation in the Basketball Videos,
ICPR06(I: 319-322).
IEEE DOI
0609
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Sports, Line Judge, Ball Position, Ball Tracking and Enhanced Displays .