CVBASE Annotated Video Data,
2006.
HTML Version.
Dataset, Video.
Olympic Sports Dataset,
2010
WWW Link.
Dataset, Sports. The Olympic Sports Dataset contains videos of athletes practicing
different sports. We have obtained all video sequences from YouTube
and annotated their class label with the help of Amazon Mechanical
Turk.
Refer to:
See also Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification.
UCF Sports Action Dataset,
2008.
WWW Link. Details:
WWW Link. A large set of sports actions.
Dataset, Sports. Note that many of the other non UCF links to data on that page are out of
date.
LHI Sports Activity Dataset,
Subset of larger dataset.
Online2008
HTML Version.
Dataset, Sports.
See also Lotus Hill Institute.
BibRef
0800
MEXaction2 action detection and localization dataset,
2015.
WWW Link.
Dataset, Actions. The aim of the MEXaction2 dataset is to support the development and
evaluation of methods for spotting instances of short actions in a
relatively large video database.
Actions: BullChargeCape (1324) and HorseRiding (651).
Daver, G.J.G.[Gil J.G.],
System used for real time acquistion of data pertaining
to persons in motion,
US_Patent5,513,854, May 7, 1996
WWW Link.
BibRef
9605
Chang, C.W.,
Lee, S.Y.,
A Video Information-System for Sport Motion Analysis,
JVLC(8), No. 3, June 1997, pp. 265-287.
9708
See also Video Content Representation, Indexing, and Matching in Video Information Systems.
BibRef
Naemura, M.,
Fukuda, A.,
Mizutani, Y.,
Izumi, Y.,
Tanaka, Y.,
Enami, K.,
Morphological segmentation of sport scenes using color information,
Broadcast(46), No. 3, 2000, pp. 181-188.
IEEE DOI
BibRef
0001
Carlbom, I.B.[Ingrid B.],
Jean, Y.D.[Yves D.],
Pingali, S.V.G.K.[Sarma V.G.K.],
Method and apparatus for determination and visualization of
player field coverage in a sporting event,
US_Patent6,141,041, Oct 31, 2000
WWW Link.
BibRef
0010
Intille, S.S.[Stephen S.],
Bobick, A.F.[Aaron F.],
Recognizing Planned, Multiperson Action,
CVIU(81), No. 3, March 2001, pp. 414-445.
DOI Link
0001
BibRef
Intille, S.S.[Stephen S.], and
Bobick, A.F.[Aaron F.],
A Framework for Recognizing Multi-Agent Action from Visual Evidence,
AAAI-99(xx)
BibRef
9900
And:
Vismod--489, April 1999.
PDF File.
BibRef
Intille, S.S.[Stephen S.],
Visual recognition of multi-agent action,
Ph.D.Thesis, Massachusetts Institute of Technology,
September 1999.
HTML Version.
BibRef
9909
Intille, S.S.[Stephen S.],
Bobick, A.F.[Aaron F.],
Visual Recognition of Multi-agent Action Using Binary Temporal
Relations,
CVPR99(I: 56-62).
IEEE DOI
BibRef
9900
And:
Representation and Visual Recognition of Complex, Multi-Agent Actions
Using Belief Networks,
DARPA98(285-292).
BibRef
And:
Vismod--454, January 1998.
PS File.
See also Real Time Closed World Tracking.
BibRef
Intille, S.S.[Stephen S.],
Davis, J.W.,
Bobick, A.F.,
Real Time Closed World Tracking,
CVPR97(697-703).
IEEE DOI
9704
BibRef
And:
Vismod-403, 1997.
HTML Version. Background difference clusters, bounding rectangle --people
See also Visual Recognition of Multi-agent Action Using Binary Temporal Relations.
BibRef
Intille, S.S.[Stephen S.],
Bobick, A.F.[Aaron F.],
Exploiting Contextual Information for Tracking by Using Closed Worlds,
Context95(xx)
BibRef
9500
And:
Closed-World Tracking,
ICCV95(672-678).
IEEE DOI
BibRef
And:
Visual Tracking Using Closed-Worlds,
Vismod-294, November 1994.
HTML Version. Tracking multiple objects (football players in a video sequence).
Impressive video.
HTML Version.
BibRef
Intille, S.S.[Stephen S.],
Tracking Using a Local Closed-World Assumption:
Tracking in the Football Domain,
M.S. Thesis,
Vismod-296, August 1994.
HTML Version.
BibRef
9408
Denman, H.,
Rea, N.,
Kokaram, A.C.,
Content-Based Analysis for Video from Snooker Broadcasts,
CVIU(92), No. 2-3, November-December 2003, pp. 176-195.
Elsevier DOI
0311
BibRef
Earlier:
CIVR02(198-205).
Springer DOI
0208
BibRef
Nunziati, W.[Walter],
Sclaroff, S.[Stan],
del Bimbo, A.[Alberto],
Matching Trajectories between Video Sequences by Exploiting a Sparse
Projective Invariant Representation,
PAMI(32), No. 3, March 2010, pp. 517-529.
IEEE DOI
1002
BibRef
Earlier:
An Invariant Representation for Matching Trajectories Across
Uncalibrated Video Streams,
CIVR05(318-327).
Springer DOI
0507
identify corresponding tracks from nonsynchronized cameras.
Use a view-invariant representation of trajectories, set of salient
points.
BibRef
Zhong, D.[Di],
Chang, S.F.[Shih-Fu],
Real-time view recognition and event detection for sports video,
JVCIR(15), No. 3, September 2004, pp. 330-347.
Elsevier DOI
0711
Video indexing; Content-based video retrieval; Sports video analysis; MPEG-7
BibRef
de Meneses, Y.L.,
Roduit, P.,
Luisier, F.,
Jacot, J.,
Trajectory Analysis for Sport and Video Surveillance,
ELCVIA(5), No. 3, 2005, pp. 148-156.
DOI Link
0001
BibRef
Sadlier, D.A.,
O'Connor, N.E.,
Event Detection in Field Sports Video Using Audio-Visual Features and a
Support Vector Machine,
CirSysVideo(15), No. 10, October 2005, pp. 1225-1233.
IEEE DOI
0510
BibRef
Xu, G.[Gu],
Ma, Y.F.[Yu-Fei],
Zhang, H.J.[Hong-Jiang],
Yang, S.Q.[Shi-Qiang],
An HMM-based framework for video semantic analysis,
CirSysVideo(15), No. 11, November 2005, pp. 1422-1433.
IEEE DOI
0512
BibRef
Earlier:
A HMM based semantic analysis framework for sports game event detection,
ICIP03(I: 25-28).
IEEE DOI
0312
BibRef
Rodríguez, T.[Tomás],
Reid, I.D.[Ian D.],
Horaud, R.[Radu],
Dalal, N.[Navneet],
Goetz, M.[Marcelo],
Image interpolation for virtual sports scenarios,
MVA(16), No. 4, September 2005, pp. 236-245.
Springer DOI
0512
BibRef
Lu, H.,
Andrade, E.L.,
Woods, J.C.,
Ghanbari, M.,
Henning, I.,
Generic object registration using multiple hypotheses testing in
partition trees,
VISP(153), No. 3, June 2006, pp. 323-330.
DOI Link
0608
BibRef
Andrade, E.L.,
Khan, E.,
Woods, J.C.,
Ghanbari, M.,
Player classification in interactive sport scenes using prior
information region space analysis and number recognition,
ICIP03(III: 129-132).
IEEE DOI
0312
BibRef
Piriou, G.[Gwenaëlle],
Bouthemy, P.[Patrick],
Yao, J.F.[Jian-Feng],
Recognition of Dynamic Video Contents With Global Probabilistic Models
of Visual Motion,
IP(15), No. 11, November 2006, pp. 3417-3430.
IEEE DOI
0610
BibRef
Earlier:
Extraction of Semantic Dynamic Content from Videos with Probabilistic
Motion Models,
ECCV04(Vol III: 145-157).
Springer DOI
0405
Analyze videos.
BibRef
Roh, M.C.[Myung-Cheol],
Christmas, W.J.[William J.],
Kittler, J.V.[Joseph V.],
Lee, S.W.[Seong-Whan],
Gesture spotting for low-resolution sports video annotation,
PR(41), No. 3, March 2008, pp. 1124-1137.
Elsevier DOI
0711
BibRef
Earlier:
Gesture Spotting in Low-Quality Video with Features Based on Curvature
Scale Space,
FGR06(375-380).
IEEE DOI
0604
BibRef
Earlier:
Robust Player Gesture Spotting and Recognition in Low-Resolution Sports
Video,
ECCV06(IV: 347-358).
Springer DOI
0608
Posture descriptor; Posture determination; Gesture spotting;
Low resolution video annotation
BibRef
Cheng, F.X.[Fang-Xiang],
Christmas, W.J.,
Kittler, J.V.,
Periodic human motion description for sports video databases,
ICPR04(III: 870-873).
IEEE DOI
0409
BibRef
Earlier:
Recognising human running behaviour in sports video sequences,
ICPR02(II: 1017-1020).
IEEE DOI
0211
BibRef
Earlier:
Detection and description of human running behaviour in sports video
multimedia database,
CIAP01(366-371).
IEEE DOI
0210
BibRef
Roh, M.C.[Myung-Cheol],
Shin, H.K.[Ho-Keun],
Lee, S.W.[Seong-Whan],
View-Independent Human Action Recognition with Volume Motion Template
on Single Stereo Camera,
PRL(31), No. 7, 1 May 2010, pp. 639-647.
Elsevier DOI
1004
View-independence; Human action recognition; Volume Motion Template;
Motion History Image
BibRef
Jaser, E.,
Kittler, J.V.,
Christmas, W.J.,
Hierarchical decision making scheme for sports video categorisation
with temporal post-processing,
CVPR04(II: 908-913).
IEEE DOI
0408
BibRef
Messer, K.,
Christmas, W.J.,
Kittler, J.V.,
Automatic sports classification,
ICPR02(II: 1005-1008).
IEEE DOI
0211
BibRef
Kittler, J.V.,
Messer, K.,
Christmas, W.J.,
Levienaise-Obadia, B.,
Koubaroulis, D.,
Generation of Semantic Cues for Sports Video Annotation,
ICIP01(III: 26-29).
IEEE DOI
0108
BibRef
Christmas, W.J.[William J.],
Jaser, E.[Edward],
Messer, K.[Kieron],
Kittler, J.V.[Josef V.],
A Multimedia System Architecture for Automatic Annotation of Sports
Videos,
CVS03(513 ff).
Springer DOI
0306
BibRef
Smith, M.[Michael],
PickPocket: A computer billiards shark,
AI(171), No. 16-17, November 2007, pp. 1069-1091.
Elsevier DOI
0802
Game-tree search; Computer games; Uncertainty; Monte-Carlo methods; Billiards
BibRef
Li, F.H.[Fa-Hong],
Woodham, R.J.[Robert J.],
Video analysis of hockey play in selected game situations,
IVC(27), No. 1-2, January 2009, pp. 45-58.
Elsevier DOI
0811
BibRef
Earlier:
Analysis of Player Actions in Selected Hockey Game Situations,
CRV05(152-159).
IEEE DOI
0505
Visual tracking; Motion analysis; Finite state machine
BibRef
Lu, W.L.[Wei-Lwun],
Okuma, K.[Kenji],
Little, J.J.[James J.],
Tracking and recognizing actions of multiple hockey players using the
boosted particle filter,
IVC(27), No. 1-2, January 2009, pp. 189-205.
Elsevier DOI
0811
BibRef
Earlier: A1, A3, Only:
Simultaneous Tracking and Action Recognition using the PCA-HOG
Descriptor,
CRV06(6-6).
IEEE DOI
0607
Tracking; Action recognition; Boosted particle filter
BibRef
Gupta, A.[Ankur],
Little, J.J.[James J.],
Woodham, R.J.[Robert J.],
Using Line and Ellipse Features for Rectification of Broadcast Hockey
Video,
CRV11(32-39).
IEEE DOI
1105
BibRef
Chen, J.H.[Jian-Hui],
Meng, L.[Lili],
Little, J.J.[James J.],
Camera Selection for Broadcasting Soccer Games,
WACV18(427-435)
IEEE DOI
1806
cameras, digital video broadcasting,
feature extraction, feedforward neural nets, regression analysis,
Visualization
BibRef
Han, J.G.[Jun-Gong],
Farin, D.[Dirk],
de With, P.H.N.[Peter H.N.],
Broadcast Court-Net Sports Video Analysis Using Fast 3-D Camera
Modeling,
CirSysVideo(18), No. 11, November 2008, pp. 1628-1638.
IEEE DOI
0811
BibRef
Earlier: A1, A3, Only:
3-D Camera Modeling and Its Applications in Sports Broadcast Video
Analysis,
MCAM07(434-443).
Springer DOI
0706
BibRef
Earlier: A1, A3, Only:
Content-Based Model Template Adaptation and Real-Time System for
Behavior Interpretation in Sports Video,
ACIVS06(474-484).
Springer DOI
0609
BibRef
Han, J.G.[Jun-Gong],
Farin, D.[Dirk],
de With, P.H.N.[Peter H.N.],
A Mixed-Reality System for Broadcasting Sports Video to Mobile Devices,
MultMedMag(18), No. 2, April-June 2011, pp. 72-84.
IEEE DOI
1105
BibRef
Kilner, J.[Joe],
Starck, J.,
Guillemaut, J.Y.,
Hilton, A.,
Objective Quality Assessment in Free-Viewpoint Video Production,
SP:IC(24), No. 1-2, January 2009, pp. 3-16.
Elsevier DOI
0902
Free-Viewpoint Video.
BibRef
Earlier: A2, A1, A4, Only:
3DTV08(225-228).
IEEE DOI
0805
Free-viewpoint video; Image-based reconstruction; Image-based
rendering; Quality assessment
BibRef
Guillemaut, J.Y.[Jean-Yves],
Hilton, A.[Adrian],
Joint Multi-Layer Segmentation and Reconstruction for Free-Viewpoint
Video Applications,
IJCV(93), No. 1, May 2011, pp. 73-100.
WWW Link.
1104
BibRef
And:
Space-Time Joint Multi-layer Segmentation and Depth Estimation,
3DIMPVT12(440-447).
IEEE DOI
1212
BibRef
Imre, E.[Evren],
Guillemaut, J.Y.[Jean-Yves],
Hilton, A.[Adrian],
Through-the-Lens Multi-camera Synchronisation and Frame-Drop Detection
for 3D Reconstruction,
3DIMPVT123(395-402).
IEEE DOI
1212
See also Bayesian Framework for Simultaneous Matting and 3D Reconstruction, A.
BibRef
Sarim, M.[Muhammad],
Hilton, A.[Adrian],
Guillemaut, J.Y.[Jean-Yves],
Kim, H.S.[Han-Sung],
Takai, T.[Takeshi],
Wide-Baseline Multi-View Video Segmentation for 3D Reconstruction,
3DVP10(13-18).
DOI Link
1111
BibRef
Guillemaut, J.Y.[Jean-Yves],
Kilner, J.[Joe],
Hilton, A.[Adrian],
Robust graph-cut scene segmentation and reconstruction for
free-viewpoint video of complex dynamic scenes,
ICCV09(809-816).
IEEE DOI
0909
BibRef
Grau, O.,
Thomas, G.A.,
Hilton, A.,
Kilner, J.,
Starck, J.,
A Robust Free-Viewpoint Video System for Sport Scenes,
3DTV07(1-4).
IEEE DOI
0705
BibRef
Kilner, J.[Joe],
Guillemaut, J.Y.[Jean-Yves],
Hilton, A.[Adrian],
Summarised hierarchical Markov models for speed-invariant action
matching,
THEMIS09(1065-1072).
IEEE DOI
0910
BibRef
And:
3D action matching with key-pose detection,
S3DV09(1-8).
IEEE DOI
0910
BibRef
Kilner, J.,
Starck, J.,
Hilton, A.,
Grau, O.,
Dual-Mode Deformable Models for Free-Viewpoint Video of Sports Events,
3DIM07(177-184).
IEEE DOI
0708
BibRef
Magee, D.[Derek],
Pers, J.[Janez],
Computer vision based analysis in sport environments,
CVIU(113), No. 5, May 2009, pp. 589.
Elsevier DOI
0904
Special issue introduction
BibRef
Zhu, G.Y.[Guang-Yu],
Xu, C.S.[Chang-Sheng],
Huang, Q.M.[Qing-Ming],
Rui, Y.[Yong],
Jiang, S.Q.[Shu-Qiang],
Gao, W.[Wen],
Yao, H.X.[Hong-Xun],
Event Tactic Analysis Based on Broadcast Sports Video,
MultMed(11), No. 1, January 2009, pp. 49-67.
IEEE DOI
0905
BibRef
Zhu, G.Y.[Guang-Yu],
Huang, Q.M.[Qing-Ming],
Xu, C.S.[Chang-Sheng],
Xing, L.Y.[Li-Yuan],
Gao, W.[Wen],
Yao, H.X.[Hong-Xun],
Human Behavior Analysis for Highlight Ranking in Broadcast Racket
Sports Video,
MultMed(9), No. 6, October 2007, pp. 1167-1182.
IEEE DOI
0905
BibRef
Wang, J.J.[Jin-Jun],
Xu, C.S.[Chang-Sheng],
Chng, E.,
Yu, X.G.[Xin-Guo],
Tian, Q.[Qi],
Event detection based on non-broadcast sports video,
ICIP04(III: 1637-1640).
IEEE DOI
0505
BibRef
Shih, H.C.,
A Survey of Content-Aware Video Analysis for Sports,
CirSysVideo(28), No. 5, May 2018, pp. 1212-1231.
IEEE DOI
1805
Analytical models, Event detection, Feature extraction, Games,
Semantics, Sports equipment, Streaming media, Action recognition,
survey
BibRef
Xu, C.S.[Chang-Sheng],
Wang, J.J.[Jin-Jun],
Lu, H.Q.[Han-Qing],
Zhang, Y.F.[Yi-Fan],
A Novel Framework for Semantic Annotation and Personalized Retrieval of
Sports Video,
MultMed(10), No. 3, April 2008, pp. 421-436.
IEEE DOI
0905
BibRef
Zhang, Y.[Yi],
Xu, C.S.[Chang-Sheng],
Lu, H.Q.[Han-Qing],
Extracting Key Sub-trajectory Features for Supervised Tactic Detection
in Sports Video,
ICPR10(125-128).
IEEE DOI
1008
BibRef
Xu, C.S.[Chang-Sheng],
Zhang, Y.F.[Yi-Fan],
Zhu, G.Y.[Guang-Yu],
Rui, Y.[Yong],
Lu, H.Q.[Han-Qing],
Huang, Q.M.[Qing-Ming],
Using Webcast Text for Semantic Event Detection in Broadcast Sports
Video,
MultMed(10), No. 7, November 2008, pp. 1342-1355.
IEEE DOI
0905
BibRef
Ding, Y.[Yi],
Fan, G.L.[Guo-Liang],
Sports Video Mining via Multichannel Segmental Hidden Markov Models,
MultMed(11), No. 7, November 2009, pp. 1301-1309.
IEEE DOI
0911
BibRef
Earlier:
Segmental Hidden Markov Models for View-based Sport Video Analysis,
SLAM07(1-8).
IEEE DOI
0706
BibRef
Eskofier, B.,
Oleson, M.,
di Benedetto, C.,
Hornegger, J.,
Embedded surface classification in digital sports,
PRL(30), No. 16, 1 December 2009, pp. 1448-1456,.
Elsevier DOI
0911
Microprocessor; Embedded classification; Digital sports; adidas_1;
Surface classification
Design of algorithms with embedded processor in mind.
BibRef
Grimmer, R.[Rainer],
Eskofier, B.[Björn],
Schlarb, H.[Heiko],
Hornegger, J.[Joachim],
Comparison and classification of 3D objects surface point clouds on the
example of feet,
MVA(22), No. 2, March 2011, pp. 235-243.
WWW Link.
1103
BibRef
Mohan, C.K.[C. Krishna],
Yegnanarayana, B.,
Classification of sport videos using edge-based features and
autoassociative neural network models,
SIViP(4), No. 1, March 2010, pp. xx-yy.
Springer DOI
1003
BibRef
Li, H.,
Tang, J.,
Wu, S.,
Zhang, Y.,
Lin, S.,
Automatic Detection and Analysis of Player Action in Moving Background
Sports Video Sequences,
CirSysVideo(20), No. 3, March 2010, pp. 351-364.
IEEE DOI
1003
BibRef
Tjondronegoro, D.W.,
Chen, Y.P.P.,
Knowledge-Discounted Event Detection in Sports Video,
SMC-A(40), No. 5, September 2010, pp. 1009-1024.
IEEE DOI
1008
BibRef
Hung, M.H.[Mao-Hsiung],
Hsieh, C.H.[Chaur-Heh],
Kuo, C.M.[Chung-Ming],
Pan, J.S.[Jeng-Shyang],
Generalized playfield segmentation of sport videos using color features,
PRL(32), No. 7, 1 May 2011, pp. 987-1000.
Elsevier DOI
1101
Generalized playfield segmentation; Sport video analysis; Unsupervised
clustering
BibRef
Weng, S.K.[Shiuh-Ku],
Kuo, C.M.[Chung-Ming],
Kang, W.C.[Wei-Chung],
Unsupervised Texture Segmentation Using Color Quantization And Color
Feature Distributions,
ICIP05(III: 1136-1139).
IEEE DOI
0512
BibRef
Mikolajczyk, K.[Krystian],
Uemura, H.[Hirofumi],
Action recognition with appearance-motion features and fast search
trees,
CVIU(115), No. 3, March 2011, pp. 426-438.
Elsevier DOI
1103
BibRef
Earlier:
Action recognition with motion-appearance vocabulary forest,
CVPR08(1-8).
IEEE DOI
0806
Action recognition; Feature extraction; Dominant motion compensation;
Sport action classification
BibRef
Uemura, H.[Hirofumi],
Ishikawa, S.,
Mikolajczyk, K.[Krystian],
Feature Tracking and Motion Compensation for Action Recognition,
BMVC08(xx-yy).
PDF File.
0809
BibRef
Kesorn, K.[Kraisak],
Poslad, S.[Stefan],
An Enhanced Bag-of-Visual Word Vector Space Model to Represent Visual
Content in Athletics Images,
MultMed(14), No. 1, January 2012, pp. 211-222.
IEEE DOI
1201
BibRef
Earlier:
Enhanced Sports Image Annotation and Retrieval Based Upon Semantic
Analysis of Multimodal Cues,
PSIVT09(817-828).
Springer DOI
0901
BibRef
Harle, R.,
Hopper, A.,
Sports Sensing: An Olympic Challenge for Computing,
Computer(45), No. 6, June 2012, pp. 98-101.
IEEE DOI
1208
BibRef
Leow, W.K.[Wee Kheng],
Wang, R.X.[Rui-Xuan],
Leong, H.W.[Hon Wai],
3D-2D spatiotemporal registration for sports motion analysis,
MVA(23), No. 6, November 2012, pp. 1177-1194.
WWW Link.
1210
BibRef
Earlier: A2, A1, A3:
CVPR08(1-8).
IEEE DOI
0806
BibRef
Postley, H.,
Sports: 3-D TV's toughest challenge,
Spectrum(49), No. 11, November 2012, pp. 40-66.
IEEE DOI
1212
BibRef
Bai, X.F.[Xue-Feng],
Zhang, T.J.[Tie-Jun],
Wang, C.J.[Chuan-Jun],
Abd El-Latif, A.A.[Ahmed A.],
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A Fully Automatic Player Detection Method Based on One-Class SVM,
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BibRef
Lu, W.L.[Wei-Lwun],
Ting, J.A.[Jo-Anne],
Little, J.J.[James J.],
Murphy, K.P.[Kevin P.],
Learning to Track and Identify Players from Broadcast Sports Videos,
PAMI(35), No. 7, 2013, pp. 1704-1716.
IEEE DOI
1307
BibRef
Earlier: A1, A2, A4, A3:
Identifying players in broadcast sports videos using conditional random
fields,
CVPR11(3249-3256).
IEEE DOI
1106
homography estimation; mutual exclusion constraint;
play-by-play text
BibRef
Ramanathan, V.[Vignesh],
Huang, J.[Jonathan],
Abu-El-Haija, S.[Sami],
Gorban, A.[Alexander],
Murphy, K.P.[Kevin P.],
Fei-Fei, L.[Li],
Detecting Events and Key Actors in Multi-person Videos,
CVPR16(3043-3053)
IEEE DOI
1612
e.g. basket ball game.
BibRef
Ueda, M.,
Negoro, H.,
Kurihara, Y.,
Watanabe, K.,
Measurement of Angular Motion in Golf Swing by a Local Sensor at the
Grip End of a Golf Club,
HMS(43), No. 4, 2013, pp. 398-404.
IEEE DOI
1307
accelerometers
BibRef
Chen, H.T.[Hua-Tsung],
Ma, K.L.[Kuo-Lian],
Chuang, J.H.[Jen-Hui],
Lin, H.H.[Horng-Horng],
Recognizing jump patterns with physics-based validation in human
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Elsevier DOI
1309
Sports video analysis
BibRef
Hamid, R.[Raffay],
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A visualization framework for team sports captured using multiple
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1312
Perceptual reasoning
BibRef
Hamid, R.[Raffay],
Kumar, R.K.[Ram Krishan],
Grundmann, M.[Matthias],
Kim, K.[Kihwan],
Essa, I.A.[Irfan A.],
Hodgins, J.K.[Jessica K.],
Player localization using multiple static cameras for sports
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IEEE DOI
1006
BibRef
Kim, K.[Kihwan],
Lee, D.[Dongryeol],
Essa, I.A.[Irfan A.],
Gaussian process regression flow for analysis of motion trajectories,
ICCV11(1164-1171).
IEEE DOI
1201
Trajectory representation for matching.
BibRef
Kim, K.[Kihwan],
Grundmann, M.[Matthias],
Shamir, A.[Ariel],
Matthews, I.[Iain],
Hodgins, J.K.[Jessica K.],
Essa, I.A.[Irfan A.],
Motion fields to predict play evolution in dynamic sport scenes,
CVPR10(840-847).
IEEE DOI
1006
BibRef
Wang, S.J.[Shuenn-Jyi],
Hsieh, C.K.[Chung-Kai],
Chia, T.L.[Tsorng-Lin],
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hidden Markov models
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Real-time sports event detection
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Computer vision
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Gonzalez-Castano, F.J.,
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A Smart Coaching Assistant for Professional Volleyball Training,
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1506
Biomedical monitoring
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body sensor networks
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Zhang, W.C.[Wei-Chen],
Liu, Z.G.[Zhi-Guang],
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Dataset, Human Activities. Human pose estimation
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Player, tracking
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Survey, Sports. State-of-the-art object tracking systems now produce spatio-temporal
traces of player trajectories with high definition and high frequency,
and this, in turn, has facilitated a variety of research efforts,
across many disciplines, to extract insight from the trajectories. We
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sports as input and involve non-trivial computation. This article
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Morel, M.[Marion],
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1708
Dynamic Time Warping
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Kapela, R.[Rafal],
McGuinness, K.[Kevin],
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Malawski, F.[Filip],
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Recognition of action dynamics in fencing using multimodal cues,
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1807
Action recognition, Depth maps, Multimodal cues, Motion analysis
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Malawski, F.[Filip],
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Improving multimodal action representation with joint motion history
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1906
Action recognition, Action descriptors, Depth maps,
Feature selection, Multimodal representation, Decision-level fusion
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Direkoglu, C.[Cem],
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Sabirin, H.,
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MultMedMag(25), No. 2, April 2018, pp. 61-70.
IEEE DOI
1808
Cameras, Streaming media, Multimedia communication, Calibration,
Real-time systems, Solid modeling, camera calibration,
object models
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Mi, Q.C.[Qun-Chao],
Xue, D.[Dali],
A sound-based video clipping framework toward sports scenes,
JVCIR(55), 2018, pp. 648-653.
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1809
Sonogram, Deep representation, Convolutional neural network
BibRef
Liu, S.,
Chen, J.,
Chang, C.,
Ai, Y.,
A New Accurate and Fast Homography Computation Algorithm for Sports
and Traffic Video Analysis,
CirSysVideo(28), No. 10, October 2018, pp. 2993-3006.
IEEE DOI
1811
Feature extraction, Transforms, Estimation,
Algorithm design and analysis, Signal processing algorithms,
image motion analysis
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Chang, W.Y.[Wu-Yeh],
Research on sports video image based on fuzzy algorithms,
JVCIR(61), 2019, pp. 105-111.
Elsevier DOI
1906
Fuzzy clustering algorithm, Image segmentation, Membership, Motion video
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Chang, C.,
Lee, T.,
Fencing Tactics Analysis in Broadcast Video:
A Point-by-Point Analytical System,
CirSysVideo(29), No. 7, July 2019, pp. 2162-2175.
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1907
Weapons, Blades, Cameras, Transforms, Acceleration, Semantics,
Broadcast fencing video, the Hilbert-Huang transform, fencing tactic analysis
BibRef
Mencarini, E.,
Rapp, A.,
Tirabeni, L.,
Zancanaro, M.,
Designing Wearable Systems for Sports: A Review of Trends and
Opportunities in Human-Computer Interaction,
HMS(49), No. 4, August 2019, pp. 314-325.
IEEE DOI
1908
Sports, Human computer interaction, Bibliographies, Encoding,
Activity recognition, Monitoring, Athletes, wearable technologies
BibRef
de Giorgis, N.,
Puppo, E.,
Alborno, P.,
Camurri, A.,
Evaluating Movement Quality Through Intrapersonal Synchronization,
HMS(49), No. 4, August 2019, pp. 304-313.
IEEE DOI
1908
Synchronization, Acceleration, Trajectory, Sports, Indexes,
Time series analysis, Legged locomotion,
movement qualities
BibRef
Zhi-chao, C.[Cao],
Zhang, L.L.[Ling-Ling],
Key pose recognition toward sports scene using deeply-learned model,
JVCIR(63), 2019, pp. 102571.
Elsevier DOI
1909
Deep learning, Image processing, Motion model, Image quality
BibRef
Maddala, T.K.K.,
Kishore, P.V.V.,
Eepuri, K.K.,
Dande, A.K.,
YogaNet: 3-D Yoga Asana Recognition Using Joint Angular Displacement
Maps With ConvNets,
MultMed(21), No. 10, October 2019, pp. 2492-2503.
IEEE DOI
1910
convolutional neural nets, image classification,
image motion analysis, image recognition, image representation,
yoga action recognition
BibRef
Chu, W.C.,
Shih, C.,
Chou, W.,
Ahamed, S.I.,
Hsiung, P.,
Artificial Intelligence of Things in Sports Science:
Weight Training as an Example,
Computer(52), No. 11, November 2019, pp. 52-61.
IEEE DOI
1911
artificial intelligence, data analysis, sport,
multifaceted data collection, knowledge formation, Computational modeling
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Ikizler-Cinbis, N.[Nazli],
Collective Sports: A multi-task dataset for collective activity
recognition,
IVC(94), 2020, pp. 103870.
Elsevier DOI
2003
Dataset, Sports. Collective activity recognition, Action recognition,
Convolutional neural networks, Multi-task learning, LSTM
BibRef
Citraro, L.[Leonardo],
Márquez-Neila, P.[Pablo],
Savarč, S.[Stefano],
Jayaram, V.[Vivek],
Dubout, C.[Charles],
Renaut, F.[Félix],
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Real-time camera pose estimation for sports fields,
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Springer DOI
2004
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Zhou, E.[Ersan],
Zhang, H.Q.[He-Qing],
Human action recognition toward massive-scale sport sceneries based
on deep multi-model feature fusion,
SP:IC(84), 2020, pp. 115802.
Elsevier DOI
2004
Human action recognition, Multi-model feature fusion,
Sport scenes, Multi-class SVM, Human behavior
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Lu, C.S.[Cong-Sheng],
Zhai, F.[Feng],
Weakly-supervised large-scale image modeling for sport scenes and its
applications,
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2009
Sport scene modeling, Weakly-supervised learning, MDA
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Li, Y.D.[Ye-Dong],
He, H.M.[Hong-Mei],
Zhang, Z.X.[Zhi-Xin],
Human motion quality assessment toward sophisticated sports scenes
based on deeply-learned 3D CNN model,
JVCIR(71), 2020, pp. 102702.
Elsevier DOI
2009
Quality assessment, Deep learning, Human activities, Big data, Neural networks
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Xu, C.,
Fu, Y.,
Zhang, B.,
Chen, Z.,
Jiang, Y.G.,
Xue, X.,
Learning to Score Figure Skating Sport Videos,
CirSysVideo(30), No. 12, December 2020, pp. 4578-4590.
IEEE DOI
2012
Videos, Sports, Task analysis, Deep learning, Convolutional codes,
Computational modeling,
multi-scale convolutional skip LSTM
BibRef
Chen, J.[Jun],
Samuel, R.D.J.[R. Dinesh Jackson],
Poovendran, P.[Parthasarathy],
LSTM with bio inspired algorithm for action recognition in sports
videos,
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Elsevier DOI
2107
Action recognition,
Long short term memory networks (LSTM) with
bio-inspired algorithm (BIA) framework, Spatial pyramid pooling SPP-net
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Chen, X.[Xin],
Pang, A.[Anqi],
Yang, W.[Wei],
Ma, Y.X.[Yue-Xin],
Xu, L.[Lan],
Yu, J.Y.[Jing-Yi],
SportsCap: Monocular 3D Human Motion Capture and Fine-Grained
Understanding in Challenging Sports Videos,
IJCV(129), No. 10, October 2021, pp. 2846-2864.
Springer DOI
2110
BibRef
Jřlstad, P.A.H.[Petter Andre Husevĺg],
Reid, R.C.[Robert Cortas],
Gjevestad, J.G.O.[Jon Glenn Omholt],
Gilgien, M.[Matthias],
Validity of the AdMos, Advanced Sport Instruments, GNSS Sensor for
Use in Alpine Skiing,
RS(14), No. 1, 2022, pp. xx-yy.
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Zhang, X.[Xing],
Wu, Z.X.[Zu-Xuan],
Jiang, Y.G.[Yu-Gang],
SAM: Modeling Scene, Object and Action With Semantics Attention
Modules for Video Recognition,
MultMed(24), 2022, pp. 313-322.
IEEE DOI
2202
Semantics, Feature extraction, Computational modeling, Correlation,
Sports, Visualization, Task analysis, Video recognition, scene, object,
semantics attention
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Marais, M.[Marc],
Brown, D.[Dane],
Golf Swing Sequencing Using Computer Vision,
IbPRIA22(351-365).
Springer DOI
2205
BibRef
Pan, T.Y.[Tse-Yu],
Tsai, W.L.[Wan-Lun],
Chang, C.Y.[Chen-Yuan],
Yeh, C.W.[Chung-Wei],
Hu, M.C.[Min-Chun],
A Hierarchical Hand Gesture Recognition Framework for Sports Referee
Training-Based EMG and Accelerometer Sensors,
Cyber(52), No. 5, May 2022, pp. 3172-3183.
IEEE DOI
2206
Gesture recognition, Electromyography, Wearable sensors, Training,
Feature extraction, Accelerometer, action recognition, Myo
BibRef
Kong, L.T.[Long-Teng],
Pei, D.X.[Duo-Xuan],
He, R.[Rui],
Huang, D.[Di],
Wang, Y.H.[Yun-Hong],
Spatio-Temporal Player Relation Modeling for Tactic Recognition in
Sports Videos,
CirSysVideo(32), No. 9, September 2022, pp. 6086-6099.
IEEE DOI
2209
Videos, Trajectory, Sports, Games, Feature extraction,
Adaptation models, Data mining, Sports video analysis,
deep learning
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Wei, C.T.[Chun-Ta],
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A court line extraction algorithm for badminton tournament videos
with horizontal line projection learning,
IET-IPR(17), No. 10, 2023, pp. 2907-2924.
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2308
court lines, horizontal line projections, Hough transform,
k-means machine learning algorithm, self-driving car applications
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Zhang, N.[Neng],
Izquierdo, E.[Ebroul],
A Four-Point Camera Calibration Method for Sport Videos,
CirSysVideo(33), No. 8, August 2023, pp. 3811-3821.
IEEE DOI
2308
Cameras, Videos, Calibration, Sports, Feature extraction, Training,
Estimation, Camera calibration, homography, deep learning, regression network
BibRef
Wu, F.[Fei],
Wang, Q.Z.[Qing-Zhong],
Bian, J.[Jiang],
Ding, N.[Ning],
Lu, F.X.[Fei-Xiang],
Cheng, J.[Jun],
Dou, D.[Dejing],
Xiong, H.[Haoyi],
A Survey on Video Action Recognition in Sports:
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MultMed(25), 2023, pp. 7943-7966.
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2312
Survey, Sports.
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Zhang, S.J.[Shao-Jie],
Pan, J.H.[Jia-Hui],
Gao, J.[Jibin],
Zheng, W.S.[Wei-Shi],
Adaptive Stage-Aware Assessment Skill Transfer for Skill
Determination,
MultMed(26), 2024, pp. 4061-4072.
IEEE DOI
2403
Task analysis, Feature extraction, Training, Videos,
Adaptation models, Transfer learning, Hair, skill determination
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Rastegar, S.[Sarah],
Doughty, H.[Hazel],
Snoek, C.G.M.[Cees G.M.],
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interventions,
CVIU(242), 2024, pp. 103975.
Elsevier DOI
2404
Causal inference, Domain generalization, Background bias removal
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Thoker, F.M.[Fida Mohammad],
Doughty, H.[Hazel],
Snoek, C.G.M.[Cees G. M.],
Tubelet-Contrastive Self-Supervision for Video-Efficient
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ICCV23(13766-13777)
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WWW Link.
2401
BibRef
Doughty, H.[Hazel],
Snoek, C.G.M.[Cees G.M.],
How Do You Do It? Fine-Grained Action Understanding with
Pseudo-Adverbs,
CVPR22(13822-13832)
IEEE DOI
2210
Annotations, Semisupervised learning,
Task analysis, Videos, Video analysis and understanding, Vision+language
BibRef
Zhang, Y.H.[Yun-Hua],
Doughty, H.[Hazel],
Snoek, C.G.M.[Cees G. M.],
Day2Dark: Pseudo-Supervised Activity Recognition Beyond Silent Daylight,
IJCV(133), No. 4, April 2025, pp. 2136-2157.
Springer DOI
2504
BibRef
Liu, Y.[Yang],
Liu, F.[Fang],
Jiao, L.C.[Li-Cheng],
Bao, Q.Y.[Qian-Yue],
Li, L.L.[Ling-Ling],
Guo, Y.W.[Yu-Wei],
Chen, P.[Puhua],
A Knowledge-Based Hierarchical Causal Inference Network for Video
Action Recognition,
MultMed(26), 2024, pp. 9135-9149.
IEEE DOI
2409
Sports, Predictive models, Convolution,
Transformers, Feature extraction, Sports equipment,
counterfactual causal inference
BibRef
Yihan, M.[Ma],
Design and optimization of an aerobics movement recognition system
based on high-dimensional biotechnological data using neural networks,
JVCIR(103), 2024, pp. 104227.
Elsevier DOI
2409
High-dimensional biotechnological data,
Aerobics movement recognition, Convolutional neural networks, Deep learning
BibRef
Liu, Y.C.[Yan-Chao],
Cheng, X.[Xina],
Li, Y.[Yuan],
Ikenaga, T.[Takeshi],
Bidirectional temporal and frame-segment attention for sparse action
segmentation of figure skating,
CVIU(249), 2024, pp. 104186.
Elsevier DOI
2412
Temporal action segmentation, Graph convolution network,
Sparse action segmentation
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Shein, E.[Esther],
AI Judging in Sports,
CACM(67), No. 12, December 2024, pp. 17-19.
DOI Link
2501
News item
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Xu, J.L.[Jing-Lin],
Rao, Y.M.[Yong-Ming],
Zhou, J.[Jie],
Lu, J.W.[Ji-Wen],
Transferable Unintentional Action Localization With Language-Guided
Intention Translation,
PAMI(47), No. 5, May 2025, pp. 3863-3877.
IEEE DOI
2504
Videos, Location awareness, Cognition, Visualization, Sports, Semantics,
Translation, Training, Feature extraction, generalization ability
BibRef
Lu, Y.X.[Yu-Xi],
Zhang, Z.[Zhuming],
Lin, S.M.[Shi-Ming],
Zhang, D.[Dengpan],
Ma, H.B.[Hai-Bin],
Qin, Z.[Zengchang],
S3GCN: Sport Scoring Siamese Graph Convolution Network,
ICIP24(1364-1370)
IEEE DOI Code:
WWW Link.
2411
Accuracy, Image recognition, Convolution, Estimation, Data collection,
Rhythm, Data augmentation, Action recognition, Few-shot Learning
BibRef
Demirel, B.[Berker],
Ozkan, H.[Huseyin],
Decompl: Decompositional Learning with Attention Pooling for Group
Activity Recognition from a Single Volleyball Image,
ICIP24(977-983)
IEEE DOI Code:
WWW Link.
2411
Optical losses, Visualization, Systematics, Image recognition,
Annotations, Activity recognition, Feature extraction,
Attention pooling
BibRef
Shi, Z.[Ziang],
Xiao, Y.[Yang],
Yan, D.[Da],
Sun, M.T.[Min-Te],
Ku, W.S.[Wei-Shinn],
Hui, B.[Bo],
BMT-Bench: A Benchmark Sports Dataset For Video Generation,
ICIP24(103-109)
IEEE DOI Code:
WWW Link.
2411
Object detection, Machine learning, Streaming media,
Benchmark testing, Real-time systems, Trajectory, Labeling,
Object Detection
BibRef
Wu, T.[Tao],
He, R.[Runyu],
Wu, G.S.[Gang-Shan],
Wang, L.M.[Li-Min],
SportsHHI: A Dataset for Human-Human Interaction Detection in Sports
Videos,
CVPR24(18537-18546)
IEEE DOI
2410
Visualization, Surveillance, Semantics, Detectors, Benchmark testing,
Cognition, human-human interaction detection,
video understanding
BibRef
Xu, J.L.[Jing-Lin],
Zhao, G.H.[Guo-Hao],
Yin, S.[Sibo],
Zhou, W.H.[Wen-Hao],
Peng, Y.X.[Yu-Xin],
FineSports: A Multi-Person Hierarchical Sports Video Dataset for
Fine-Grained Action Understanding,
CVPR24(21773-21782)
IEEE DOI Code:
WWW Link.
2410
Visualization, Annotations, Semantics, Games, Detectors,
Multi-person Sports, Video Dataset,
Fine-grained Action Understanding
BibRef
Magera, F.[Floriane],
Hoyoux, T.[Thomas],
Barnich, O.[Olivier],
van Droogenbroeck, M.[Marc],
A Universal Protocol to Benchmark Camera Calibration for Sports,
CVSports24(3335-3346)
IEEE DOI
2410
Measurement, Protocols, Annotations, Benchmark testing, Cameras, Distortion
BibRef
Ibh, M.[Magnus],
Graßhof, S.[Stella],
Hansen, D.W.[Dan Witzner],
A stroke of genius: Predicting the next move in badminton,
CVSports24(3376-3385)
IEEE DOI
2410
Predictive models, Transformers, Skeleton, Data models,
Spatiotemporal phenomena, Sports Application, Action Forecasting,
Encoder-Decoder
BibRef
Liu, Z.D.[Zhen-Dong],
Xia, H.F.[Hai-Feng],
Guo, T.[Tong],
Sun, L.[Libo],
Shao, M.[Ming],
Xia, S.[Siyu],
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports
Action Recognition,
FG24(1-10)
IEEE DOI
2408
Knowledge engineering, Visualization, Graph convolutional networks,
Semantics, Gesture recognition, Skeleton
BibRef
Zhang, D.[Di],
Ke, Y.[Yi],
Research on the Design of a Smart Wearable Device for Taichi
practitioners Based on AI Concept,
CVIDL23(697-701)
IEEE DOI
2403
Training, Measurement, Deep learning,
Wearable computers, Manufacturing, Artificial intelligence, Taichi
BibRef
Freire-Obregón, D.[David],
Lorenzo-Navarro, J.[Javier],
Santana, O.J.[Oliverio J.],
Hernández-Sosa, D.[Daniel],
Castrillón-Santana, M.[Modesto],
An X3D Neural Network Analysis for Runner's Performance Assessment in
a Wild Sporting Environment,
MVA23(1-5)
DOI Link
2403
Measurement, Machine vision, Neural networks, Transfer learning,
Memory management, X3D, Cathode ray tubes
BibRef
McGillivray, J.[Jayden],
Green, R.[Richard],
Extreme Sport Analysis Using Object Detection Methods and Unscented
Kalman Filters,
IVCNZ23(1-6)
IEEE DOI
2403
YOLO, Pose estimation, Crops, Benchmark testing, Skeleton, Trajectory,
Kalman filters
BibRef
Chen, Q.[Qiao],
Poullis, C.[Charalambos],
Tracking and Identification of Ice Hockey Players,
CVS23(3-16).
Springer DOI
2312
BibRef
Ibh, M.[Magnus],
Grasshof, S.[Stella],
Witzner, D.[Dan],
Madeleine, P.[Pascal],
TemPose: a new skeleton-based transformer model designed for
fine-grained motion recognition in badminton,
CVSports23(5199-5208)
IEEE DOI
2309
BibRef
Queck, D.[Dirk],
Albert, I.[Iannis],
Volkmar, G.[Georg],
Malaka, R.[Rainer],
Herrlich, M.[Marc],
Physiological Data Placement Recommendations for VR Sport Applications,
VAMR23(72-85).
Springer DOI
2307
BibRef
Li, J.W.[Jian-Wei],
Hu, H.Q.[Hai-Qing],
Li, J.Y.[Jin-Yang],
Zhao, X.M.[Xiao-Mei],
3D-Yoga: A 3D Yoga Dataset for Visual-based Hierarchical Sports Action
Analysis,
ACCV22(I:55-71).
Springer DOI
2307
BibRef
Nordmo, T.A.S.[Tor-Arne S.],
Riegler, M.A.[Michael A.],
Johansen, H.D.[Hĺvard D.],
Johansen, D.[Dag],
Arctic HARE: A Machine Learning-Based System for Performance Analysis
of Cross-Country Skiers,
MMMod23(I: 553-564).
Springer DOI
2304
BibRef
Juliussen, B.A.[Bjřrn Aslak],
Rui, J.P.[Jon Petter],
Johansen, D.[Dag],
Sport and Nutrition Digital Analysis: A Legal Assessment,
MMMod23(I: 577-588).
Springer DOI
2304
BibRef
Ludwig, K.[Katja],
Kienzle, D.[Daniel],
Lorenz, J.[Julian],
Lienhart, R.[Rainer],
Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly
Correct Segmentation Masks,
WinterSports23(1-10)
IEEE DOI
2302
Training, Image segmentation, Visualization, TV, Annotations,
Computational modeling, Transformers
BibRef
Theiner, J.[Jonas],
Ewerth, R.[Ralph],
TVCalib: Camera Calibration for Sports Field Registration in Soccer,
WACV23(1166-1175)
IEEE DOI
2302
Point cloud compression, Image segmentation, Neural networks,
Estimation, Cameras, Calibration, Algorithms: 3D computer vision,
Arts/games/social media
BibRef
Zheng, Z.W.[Zhi-Wei],
Ma, Z.[Zhuang],
Research on Offline Classification and Counting Algorithm of Long
Fitness Video,
ICIVC22(410-417)
IEEE DOI
2301
Deep learning, Adaptation models, Convolution, Motion segmentation,
Computational modeling, Wearable computers, Feature extraction,
Temporal Action Detection
BibRef
Freire-Obregón, D.[David],
Lorenzo-Navarro, J.[Javier],
Santana, O.J.[Oliverio J.],
Hernández-Sosa, D.[Daniel],
Castrillón-Santana, M.[Modesto],
Towards cumulative race time regression in sports: I3D ConvNet
transfer learning in ultra-distance running events,
ICPR22(805-811)
IEEE DOI
2212
Visualization, Transfer learning,
Cathode ray tubes, Feature extraction, Real-time systems, Timing
BibRef
Parmar, P.[Paritosh],
Gharat, A.[Amol],
Rhodin, H.[Helge],
Domain Knowledge-Informed Self-supervised Representations for Workout
Form Assessment,
ECCV22(XXXVIII:105-123).
Springer DOI
2211
BibRef
Shang, Z.X.[Zai-Xi],
Chen, Y.X.[Yi-Xu],
Wu, Y.J.[Yong-Jun],
Wei, H.[Hai],
Sethuraman, S.[Sriram],
Subjective and Objective Video Quality Assessment of High Dynamic
Range Sports Content,
VAQuality23(556-564)
IEEE DOI
2302
Adaptation models, Quantization (signal), Databases,
Streaming media, Encoding, Real-time systems, Quality assessment
BibRef
Ebenezer, J.P.[Joshua P.],
Chen, Y.X.[Yi-Xu],
Wu, Y.J.[Yong-Jun],
Wei, H.[Hai],
Sethuraman, S.[Sriram],
Subjective and Objective Quality Assessment of High-Motion Sports
Videos at Low-Bitrates,
ICIP22(521-525)
IEEE DOI
2211
Image coding, Codecs, Adaptive systems, Bit rate, Metadata,
Benchmark testing, Quality assessment, Video quality assessment, Low-Bitrate
BibRef
Zhang, Y.T.[Yan-Ting],
Wang, Q.[Qing'Ao],
Tu, F.[Fuyu],
Wang, Z.J.[Zi-Jian],
Automatic Moving Pose Grading for Golf Swing in Sports,
ICIP22(41-45)
IEEE DOI
2211
Deep learning, Pose estimation, Education, Quality assessment,
Videos, Golf swing, human pose estimation (HPE),
dynamic time warping (DTW)
BibRef
Jacquelin, N.[Nicolas],
Vuillemot, R.[Romain],
Duffner, S.[Stefan],
Efficient One-Shot Sports Field Image Registration with Arbitrary
Keypoint Segmentation,
ICIP22(1771-1775)
IEEE DOI
2211
Measurement, Visualization, TV, Benchmark testing, Real-time systems,
Iterative methods, registration, real-time, sports, dataset
BibRef
Chu, Y.J.[Yen-Jui],
Su, J.W.[Jheng-Wei],
Hsiao, K.W.[Kai-Wen],
Lien, C.Y.[Chi-Yu],
Fan, S.H.[Shu-Ho],
Hu, M.C.[Min-Chun],
Lee, R.R.[Ruen-Rone],
Yao, C.Y.[Chih-Yuan],
Chu, H.K.[Hung-Kuo],
Sports Field Registration via Keypoints-aware Label Condition,
CVSports22(3522-3529)
IEEE DOI
2210
Image segmentation, Predictive models, Feature extraction,
Robustness, Sparse matrices, Task analysis
BibRef
Polo-Rodriguez, A.[Aurora],
Montoro-Lendinez, A.[Alicia],
Espinilla, M.[Macarena],
Medina-Quero, J.[Javier],
Classifying Sport-Related Human Activity from Thermal Vision Sensors
Using CNN and LSTM,
VIAAL22(38-48).
Springer DOI
2208
BibRef
Hong, J.[James],
Zhang, H.T.[Hao-Tian],
Gharbi, M.[Michaël],
Fisher, M.[Matthew],
Fatahalian, K.[Kayvon],
Spotting Temporally Precise, Fine-Grained Events in Video,
ECCV22(XXXV:33-51).
Springer DOI
2211
BibRef
Hong, J.[James],
Fisher, M.[Matthew],
Gharbi, M.[Michaël],
Fatahalian, K.[Kayvon],
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action
Recognition,
ICCV21(9234-9243)
IEEE DOI
2203
Visualization, Target recognition, Impedance matching,
Pose estimation, Detectors, Feature extraction,
Video analysis and understanding
BibRef
Li, Y.X.[Yi-Xuan],
Chen, L.[Lei],
He, R.[Runyu],
Wang, Z.Z.[Zhen-Zhi],
Wu, G.S.[Gang-Shan],
Wang, L.M.[Li-Min],
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally
Localized Sports Actions,
ICCV21(13516-13525)
IEEE DOI
2203
Dataset, Sports. Location awareness, Annotations, Error analysis, Benchmark testing,
Complexity theory, Standards, Action and behavior recognition,
Datasets and evaluation
BibRef
Roygaga, C.[Chaitanya],
Patil, D.[Dhruva],
Boyle, M.[Michael],
Pickard, W.[William],
Reisers, R.[Raoul],
Bharati, A.[Aparna],
Blanchard, N.[Nathaniel],
APE-V: Athlete Performance Evaluation using Video,
WinterSports22(691-700)
IEEE DOI
2202
Performance evaluation, Annotations, Conferences,
Measurement uncertainty, Force, Benchmark testing
BibRef
tepec, D.[Dejan],
Skocaj, D.[Danijel],
Video-Based Ski Jump Style Scoring from Pose Trajectory,
WinterSports22(682-690)
IEEE DOI
2202
Training,
Computational modeling, Pose estimation, Prototypes, Predictive models
BibRef
Huang, R.H.[Ren-Hao],
Wang, J.Q.[Ji-Qing],
Lou, H.W.[Hao-Wei],
Lu, H.D.[Hao-Dong],
Wang, B.F.[Bo-Fei],
Miss Yoga: A Yoga Assistant Mobile Application Based on Keypoint
Detection,
DICTA20(1-3)
IEEE DOI
2201
Digital images, Robustness, Mobile applications
BibRef
Kulal, S.[Sumith],
Mao, J.Y.[Jia-Yuan],
Aiken, A.[Alex],
Wu, J.J.[Jia-Jun],
Hierarchical Motion Understanding via Motion Programs,
CVPR21(6564-6572)
IEEE DOI
2111
Interpolation, Computational modeling,
Predictive models, Cognition, Task analysis
BibRef
Zhang, C.L.[Chuan-Lei],
Liu, L.X.[Li-Xin],
Yao, M.[Minda],
Chen, W.[Wei],
Chen, D.F.[Du-Feng],
Wu, Y.L.[Yu-Liang],
HSiPu2: A New Human Physical Fitness Action Dataset for Recognition
and 3D Reconstruction Evaluation,
VOCVALC21(3166-3175)
IEEE DOI
2109
Dataset, Physical Fitness. Support vector machines, Solid modeling,
BibRef
Liu, Y.[Yang],
Hafemann, L.G.[Luiz G.],
Jamieson, M.[Michael],
Javan, M.[Mehrsan],
Detecting and Matching Related Objects with One Proposal Multiple
Predictions,
CVSports21(4515-4522)
IEEE DOI
2109
Games, Detectors, Ice, Proposals, Pattern matching
BibRef
McNally, W.[William],
Walters, P.[Pascale],
Vats, K.[Kanav],
Wong, A.[Alexander],
McPhee, J.[John],
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping
in Darts using a Single Camera,
CVSports21(4542-4551)
IEEE DOI
2109
Heating systems, Image edge detection, Transfer learning,
Pipelines, Training data, Predictive models, Cameras
BibRef
Pidaparthy, H.[Hemanth],
Dowling, M.H.[Michael H.],
Elder, J.H.[James H.],
Automatic Play Segmentation of Hockey Videos,
CVSports21(4580-4588)
IEEE DOI
2109
Visualization, Fans,
Hidden Markov models, Games, Cameras
BibRef
Nie, X.H.[Xiao-Han],
Chen, S.X.[Shi-Xing],
Hamid, R.[Raffay],
A Robust and Efficient Framework for Sports-Field Registration,
WACV21(1935-1943)
IEEE DOI
2106
Cameras, Prediction algorithms,
Real-time systems, Hardware, Registers
BibRef
Liu, J.J.[Jen Jui],
Newman, J.[Jacob],
Lee, D.J.[Dah-Jye],
Body Motion Analysis for Golf Swing Evaluation,
ISVC20(I:566-577).
Springer DOI
2103
BibRef
Ren, Q.J.[Qi-Jun],
Research on the Functions of Tai Chi Stripping and SanDa Wrestling
Based on the Analysis of Image,
CVIDL20(54-56)
IEEE DOI
2102
biomechanics, image recognition, sport, traditional Chinese WuShu,
intrinsic fitness value, Tai Chi pusher,
Image differences and similarities
BibRef
Shao, D.[Dian],
Zhao, Y.[Yue],
Dai, B.[Bo],
Lin, D.H.[Da-Hua],
Intra- and Inter-Action Understanding via Temporal Action Parsing,
CVPR20(727-736)
IEEE DOI
2008
Videos, Task analysis,
Visualization, Labeling
BibRef
Evans, M.,
Needham, L.,
Colyer, S.L.,
Cosker, D.P.,
A Non-invasive Vision Based Approach to Velocity Measurement of
Skeleton Training,
CVSports20(3885-3892)
IEEE DOI
2008
Cameras, Skeleton, Image segmentation, Head,
Torso, Tracking
BibRef
Nekoui, M.,
Tito Cruz, F.O.,
Cheng, L.,
FALCONS: FAst Learner-grader for CONtorted poses in Sports,
CVSports20(3941-3949)
IEEE DOI
2008
Feature extraction, Task analysis, Pose estimation, Visualization,
Pipelines, Skeleton
BibRef
Mendhurwar, K.,
Handa, G.,
Zhu, L.,
Mudur, S.,
Beauchesne, E.,
LeVangie, M.,
Hallihan, A.,
Javadtalab, A.,
Popa, T.,
A System for Acquisition and Modelling of Ice-Hockey Stick Shape
Deformation from Player Shot Videos,
CVSports20(3893-3900)
IEEE DOI
2008
Shape, Strain, Image reconstruction,
Cameras, Geometry
BibRef
Skinner, P.,
Zollmann, S.,
Localisation for Augmented Reality at Sport Events,
IVCNZ19(1-6)
IEEE DOI
2004
augmented reality, calibration,
image colour analysis, sport, target tracking, video cameras,
sports broadcasts
BibRef
Huang, D.A.[De-An],
Nair, S.[Suraj],
Xu, D.[Danfei],
Zhu, Y.[Yuke],
Garg, A.[Animesh],
Fei-Fei, L.[Li],
Savarese, S.[Silvio],
Niebles, J.C.[Juan Carlos],
Neural Task Graphs:
Generalizing to Unseen Tasks From a Single Video Demonstration,
CVPR19(8557-8566).
IEEE DOI
2002
BibRef
Doughty, H.[Hazel],
Mayol-Cuevas, W.[Walterio],
Damen, D.[Dima],
The Pros and Cons: Rank-Aware Temporal Attention for Skill
Determination in Long Videos,
CVPR19(7854-7863).
IEEE DOI
2002
BibRef
Yeh, R.A.[Raymond A.],
Schwing, A.G.[Alexander G.],
Huang, J.[Jonathan],
Murphy, K.[Kevin],
Diverse Generation for Multi-Agent Sports Games,
CVPR19(4605-4614).
IEEE DOI
2002
BibRef
Bi, T.Y.[Tian-Yu],
Jarnikov, D.[Dmitri],
Lukkien, J.[Johan],
Supervised Two-Stage Transfer Learning on Imbalanced Dataset for Sport
Classification,
CIAP19(I:356-366).
Springer DOI
1909
BibRef
Vats, K.,
Neher, H.,
Clausi, D.A.,
Zelek, J.,
Two-Stream Action Recognition in Ice Hockey using Player Pose
Sequences and Optical Flows,
CRV19(181-188)
IEEE DOI
1908
Optical imaging, Integrated optics, Pose estimation, Sports,
Optical network units, Thorax, hockey, action recognition, LSTM,
convolutional neural networks
BibRef
Chen, J.,
Lu, K.,
Tian, S.,
Little, J.,
Learning Sports Camera Selection From Internet Videos,
WACV19(1682-1691)
IEEE DOI
1904
cameras, game theory, Internet, object detection, random forests,
sport, video cameras, video signal processing, broadcast videos,
Forestry
BibRef
Pang, B.,
Zha, K.,
Lu, C.,
Human Action Adverb Recognition:
ADHA Dataset and a Three-Stream Hybrid Model,
Subjective18(2388-238809)
IEEE DOI
1812
Image recognition, Mood, Emotion recognition, Sports,
Benchmark testing, Face
BibRef
Chen, C.,
Shu, Y.,
Shu, K.,
Zhang, H.,
WiTT: Modeling and the evaluation of table tennis actions based on
WIFI signals,
ICPR18(3100-3107)
IEEE DOI
1812
Wireless communication, Wireless fidelity, Sports,
Wireless sensor networks, Receivers, Feature extraction, Games,
SVM
BibRef
Zecha, D.,
Einfalt, M.,
Eggert, C.,
Lienhart, R.,
Kinematic Pose Rectification for Performance Analysis and Retrieval
in Sports,
CVSports18(1872-18728)
IEEE DOI
1812
Training, Wrist, Pose estimation, Sports, Pipelines, Kinematics, Elbow
BibRef
Wu, A.,
Piergiovanni, A.J.,
Ryoo, M.S.,
Action-Conditioned Convolutional Future Regression Models for Robot
Imitation Learning,
DeepLearnRV18(2116-21162)
IEEE DOI
1812
Robots, Trajectory, Task analysis, Real-time systems, Visualization,
Videos, Training data
BibRef
Piergiovanni, A.J.,
Ryoo, M.S.[Michael S.],
Learning Latent Super-Events to Detect Multiple Activities in Videos,
CVPR18(5304-5313)
IEEE DOI
1812
Videos, Activity recognition, Computational modeling,
Task analysis, Detectors, Surveillance
BibRef
Hendricks, L.A.[Lisa Anne],
Burns, K.[Kaylee],
Saenko, K.[Kate],
Darrell, T.J.[Trevor J.],
Rohrbach, A.[Anna],
Women Also Snowboard: Overcoming Bias in Captioning Models,
ECCV18(III: 793-811).
Springer DOI
1810
BibRef
Ghosh, A.,
Singh, S.,
Jawahar, C.V.,
Towards Structured Analysis of Broadcast Badminton Videos,
WACV18(296-304)
IEEE DOI
1806
computer games, data mining, feature extraction,
image segmentation, sport, video signal processing,
Videos
BibRef
Chen, J.,
Zhu, F.,
Little, J.J.,
A Two-Point Method for PTZ Camera Calibration in Sports,
WACV18(287-295)
IEEE DOI
1806
calibration, feature extraction, image matching, image sensors,
sport, video cameras, PTZ camera calibration,
Training
BibRef
Chen, L.[Lei],
Zhai, M.Y.[Meng-Yao],
Mori, G.[Greg],
Attending to Distinctive Moments: Weakly-Supervised Attention Models
for Action Localization in Video,
WSM17(328-336)
IEEE DOI
1802
Computational modeling, Games,
Hidden Markov models, Machine learning, Predictive models, Training
BibRef
Gade, R.,
Larsen, R.G.,
Moeslund, T.B.,
Measuring Energy Expenditure in Sports by Thermal Video Analysis,
CVSports17(187-194)
IEEE DOI
1709
Cameras, Energy measurement, Estimation, Image segmentation,
Legged locomotion, Thermal analysis, Tracking
BibRef
Park, S.[Soonchan],
Chang, J.Y.[Ju Yong],
Jeong, H.[Hyuk],
Lee, J.H.[Jae-Ho],
Park, J.Y.[Ji-Young],
Accurate and Efficient 3D Human Pose Estimation Algorithm Using
Single Depth Images for Pose Analysis in Golf,
CVSports17(105-113)
IEEE DOI
1709
Algorithm design and analysis, Cameras, Clustering algorithms,
Decision trees, Pose estimation
BibRef
Victor, B.,
He, Z.,
Morgan, S.,
Miniutti, D.,
Continuous Video to Simple Signals for Swimming Stroke Detection with
Convolutional Neural Networks,
CVSports17(122-131)
IEEE DOI
1709
Encoding, Event detection, Feature extraction,
Pipelines, Training
BibRef
Parmar, P.,
Morris, B.T.,
Learning to Score Olympic Events,
CVSports17(76-84)
IEEE DOI
1709
Feature extraction, Quality assessment, Spatiotemporal phenomena,
Support vector machines, Training, Visualization
BibRef
Fani, M.,
Neher, H.,
Clausi, D.A.,
Wong, A.,
Zelek, J.,
Hockey Action Recognition via Integrated Stacked Hourglass Network,
CVSports17(85-93)
IEEE DOI
1709
Feature extraction, Heating systems, Ice,
Image recognition, Pose estimation, Trajectory
BibRef
Weeratunga, K.,
Dharmaratne, A.,
How, K.B.,
Classification of spatio-temporal data represented as multiset for
tactical profiling in badminton,
ICIVC17(979-984)
IEEE DOI
1708
Trajectory, badminton, movement classification, string matching,
tactical, analysis
BibRef
Matsumoto, A.[Ayumi],
Mikami, D.[Dan],
Kimata, H.[Hideaki],
Fine-grained event timing detection method using quasi-high frame
generation for single camera image sequence,
MVA17(506-509)
DOI Link
1708
Cameras, Event detection, Image resolution, Interpolation,
Mathematical model, Timing, Videos
BibRef
Xie, F.,
Cheng, X.,
Ikenaga, T.,
Mixture particle filter with block jump biomechanics constraint for
volleyball players lower body parts tracking,
MVA17(302-305)
DOI Link
1708
Biological system modeling, Foot, Hip, Particle filters,
Predictive models, Solid modeling
BibRef
Zeng, R.,
Lakemond, R.,
Denman, S.,
Sridharan, S.,
Fookes, C.,
Morgan, S.,
Vertical Axis Detection for Sport Video Analytics,
DICTA16(1-7)
IEEE DOI
1701
Biological neural networks
BibRef
Schmidt, A.[Adam],
Orth, D.[Dominic],
Seifert, L.[Ludovic],
Collection of Visual Data in Climbing Experiments for Addressing the
Role of Multi-modal Exploration in Motor Learning Efficiency,
ACIVS16(674-684).
Springer DOI
1611
BibRef
de Souza Vicente, C.M.[Claudio Marcio],
Nascimento, E.R.[Erickson R.],
Emery, L.E.C.[Luiz Eduardo C.],
Flor, C.A.G.[Cristiano Arruda G.],
Vieira, T.[Thales],
Oliveira, L.B.[Leonardo B.],
High performance moves recognition and sequence segmentation based on
key poses filtering,
WACV16(1-8)
IEEE DOI
1511
Feature extraction. Key poses in sports.
BibRef
Hsu, C.C.,
Chen, H.T.,
Tsai, W.J.,
Lee, S.Y.,
Fast multi-view people localization using a torso-high reference
plane,
VCIP17(1-4)
IEEE DOI
1804
image motion analysis, image segmentation, object tracking,
video signal processing, video surveillance,
real-time system
BibRef
Chen, H.T.,
Huang, T.W.,
Chou, C.L.,
Tsai, H.C.,
Lee, S.Y.,
Improving golf swing skills using intelligent glasses,
VCIP15(1-4)
IEEE DOI
1605
Feature extraction
BibRef
Safdarnejad, S.M.,
Liu, X.M.[Xiao-Ming],
Udpa, L.,
Andrus, B.,
Wood, J.,
Craven, D.,
Sports Videos in the Wild (SVW): A video dataset for sports analysis,
FG15(1-7)
IEEE DOI
1508
Web sites
BibRef
Safdarnejad, S.M.[Seyed Morteza],
Liu, X.M.[Xiao-Ming],
Udpa, L.[Lalita],
Genre categorization of amateur sports videos in the wild,
ICIP14(1001-1005)
IEEE DOI
1502
Accuracy
BibRef
Swears, E.[Eran],
Hoogs, A.J.[Anthony J.],
Ji, Q.A.[Qi-Ang],
Boyer, K.[Kim],
Complex Activity Recognition Using Granger Constrained DBN (GCDBN) in
Sports and Surveillance Video,
CVPR14(788-795)
IEEE DOI
1409
activity recognition; causality; graphical models; structure learning
BibRef
Hayashi, M.,
Yamamoto, T.,
Aoki, Y.,
Ohshima, K.,
Tanabiki, M.,
Head and Upper Body Pose Estimation in Team Sport Videos,
ACPR13(754-759)
IEEE DOI
1408
decision theory
BibRef
Hsu, C.C.[Chun-Chieh],
Chen, H.T.[Hua-Tsung],
Chou, C.L.[Chien-Li],
Lee, S.Y.[Suh-Yin],
Ho, C.P.[Chien-Peng],
Serve receive-to-attack period extraction and histogram-based player
localization in broadcast volleyball videos,
VCIP13(1-6)
IEEE DOI
1402
calibration
BibRef
Yu, X.D.[Xiao-Dong],
Teo, C.L.[Ching Lik],
Yang, Y.Z.[Ye-Zhou],
Fermuller, C.[Cornelia],
Aloimonos, Y.F.[Yi-Fannis],
Action Attribute Detection from Sports Videos with Contextual
Constraints,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Ayyildiz, K.[Kahraman],
Conrad, S.[Stefan],
Classifier Comparison for Repeating Motion Based Video Classification,
ISVC13(II:725-736).
Springer DOI
1311
Sports, home improvement.
BibRef
Lucey, P.[Patrick],
Bialkowski, A.[Alina],
Carr, P.[Peter],
Morgan, S.[Stuart],
Matthews, I.[Iain],
Sheikh, Y.[Yaser],
Representing and Discovering Adversarial Team Behaviors Using Player
Roles,
CVPR13(2706-2713)
IEEE DOI
1309
Video Analysis
BibRef
Moreno, A.[Alejandro],
Poppe, R.[Ronald],
'You're It!':
Role Identification Using Pairwise Interactions in Tag Games,
BAG13(657-662)
IEEE DOI
1309
behavior analysis
BibRef
Gade, R.[Rikke],
Moeslund, T.B.[Thomas B.],
Sports Type Classification Using Signature Heatmaps,
CVSports13(999-1004)
IEEE DOI
1309
BibRef
Bialkowski, A.[Alina],
Lucey, P.[Patrick],
Carr, P.[Peter],
Denman, S.[Simon],
Matthews, I.[Iain],
Sridharan, S.[Sridha],
Recognising Team Activities from Noisy Data,
CVSports13(984-990)
IEEE DOI
1309
activity recognition
See also Predicting Ball Ownership in Basketball from a Monocular View Using Only Player Trajectories.
BibRef
Rodríguez-Pérez, S.[Sergio],
Montoliu, R.[Raul],
Bag-of-Words and Topic Modeling-Based Sport Video Analysis,
IbPRIA13(189-196).
Springer DOI
1307
BibRef
Direkoglu, C.[Cem],
O'Connor, N.E.[Noel E.],
Team behavior analysis in sports using the Poisson equation,
ICIP12(2693-2696).
IEEE DOI
1302
BibRef
Dong, Y.[Yuan],
Zhang, J.W.[Ji-Wei],
Chang, X.F.[Xiao-Fu],
Zhao, J.[Jian],
Automatic sports video genre categorization for broadcast videos,
VCIP12(1-5).
IEEE DOI
1302
BibRef
Direkoglu, C.[Cem],
O'Connor, N.E.[Noel E.],
Team Activity Recognition in Sports,
ECCV12(VII: 69-83).
Springer DOI
1210
BibRef
Kitani, K.M.[Kris M.],
Okabe, T.[Takahiro],
Sato, Y.[Yoichi],
Sugimoto, A.[Akihiro],
Fast unsupervised ego-action learning for first-person sports videos,
CVPR11(3241-3248).
IEEE DOI
1106
BibRef
Ahad, M.A.R.[M. Atiqur Rahman],
Tan, J.K.,
Kim, H.,
Ishikawa, S.,
Approaches for global-based action representations for games and action
understanding,
FG11(753-758).
IEEE DOI
1103
BibRef
Ando, R.[Ryuya],
Ohki, H.[Hidehiro],
Fujita, Y.[Yoneharu],
A comparison with covariance features on player uniform number
recognition,
FCV11(1-4).
IEEE DOI
1102
BibRef
Dao, M.S.[Minh-Son],
Masui, K.[Keita],
Babaguchi, N.[Noboru],
Event tactic analysis in sports video using spatio-temporal pattern,
ICIP10(1497-1500).
IEEE DOI
1009
BibRef
Earlier: A2, A1, A3:
Modeling visual information by spatio-temporal patterns to analyze
event tactic in sports video,
EUVIP10(198-203).
IEEE DOI
1110
BibRef
Mackowiak, S.[Slawomir],
Gardzinski, P.[Pawel],
Kaminski, L.[Lukasz],
Kowalak, K.[Krzysztof],
Human activity recognition in multiview video,
AVSS14(148-153)
IEEE DOI
1411
Bayes methods
BibRef
Kaminski, L.[Lukasz],
Kowalak, K.[Krzysztof],
Gardzinski, P.[Pawel],
Mackowiak, S.[Slawomir],
Human Activity Interpretation Using Evenly Distributed Points on the
Human Hull,
ICCVG14(316-323).
Springer DOI
1410
BibRef
van Basten, B.J.H.[Ben J. H.],
Jansen, S.E.M.[Sander E. M.],
Karamouzas, I.[Ioannis],
Exploiting Motion Capture to Enhance Avoidance Behaviour in Games,
MIG09(29-40).
Springer DOI
0911
BibRef
Moussa, M.B.[Maher Ben],
Magnenat-Thalmann, N.[Nadia],
Applying Affect Recognition in Serious Games:
The PlayMancer Project,
MIG09(53-62).
Springer DOI
0911
BibRef
Xia, Y.Q.[Yong-Quan],
Gan, Y.[Yong],
Li, W.L.[Wei-Li],
Ning, S.H.[Shao-Hui],
A Simple and Fast Region of Interest Extraction Approach Based on
Computer Vision for Sport Scene Images,
CISP09(1-4).
IEEE DOI
0910
BibRef
Dao, M.S.[Minh-Son],
Nath, S.I.[Sharma Ishan],
Babaguichi, N.[Noboru],
A New Linguistic-Perceptual Event Model for Spatio-Temporal Event
Detection and Personalized Retrieval of Sports Video,
CIAP09(594-603).
Springer DOI
0909
BibRef
Jiang, Y.[Yang],
Jiang, J.M.[Jian-Min],
Palmer, I.J.[Ian J.],
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Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Activities, Sports, Player Tracking .