17.1.3.9.7 Human Activities, Sports, Planned Activities

Chapter Contents (Back)
Activity Recognition. Human Motion. Sports.
See also Human Activities, Sports, Player Tracking.
See also Sports, Line Judge, Ball Position, Ball Tracking and Enhanced Displays.
See also Human Activities, Sports, Summaries, Highlights.
See also Basketball Tracking, Desctiptions, Line Judge.
See also Baseball, Cricket, Tracking, Desctiptions, Analysis.
See also Football, Soccer, Tracking, Desctiptions, Analysis.
See also Tennis Tracking, Desctiptions, Line Judge.
See also Image Based Rendering, View Generation for Video, Free-Viewpoint Video.
See also Action Quality Evaluation.

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 Note that many of the other non UCF links to data on that page are out of date.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
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And:
Space-Time Joint Multi-layer Segmentation and Depth Estimation,
3DIMPVT12(440-447).
IEEE DOI 1212
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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],
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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
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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
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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
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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
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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
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Mohan, C.K.[C. Krishna], Yegnanarayana, B.,
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SIViP(4), No. 1, March 2010, pp. xx-yy.
Springer DOI 1003
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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
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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
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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],
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Mikolajczyk, K.[Krystian], Uemura, H.[Hirofumi],
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CVIU(115), No. 3, March 2011, pp. 426-438.
Elsevier DOI 1103
BibRef
Earlier:
Action recognition with motion-appearance vocabulary forest,
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IEEE DOI 0806
Action recognition; Feature extraction; Dominant motion compensation; Sport action classification BibRef

Uemura, H.[Hirofumi], Ishikawa, S., Mikolajczyk, K.[Krystian],
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Earlier:
Enhanced Sports Image Annotation and Retrieval Based Upon Semantic Analysis of Multimodal Cues,
PSIVT09(817-828).
Springer DOI 0901
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Harle, R., Hopper, A.,
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IEEE DOI 1208
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IEEE DOI 0806
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Postley, H.,
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Bai, X.F.[Xue-Feng], Zhang, T.J.[Tie-Jun], Wang, C.J.[Chuan-Jun], Abd El-Latif, A.A.[Ahmed A.], Niu, X.[Xiamu],
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Lu, W.L.[Wei-Lwun], Ting, J.A.[Jo-Anne], Little, J.J.[James J.], Murphy, K.P.[Kevin P.],
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PAMI(35), No. 7, 2013, pp. 1704-1716.
IEEE DOI 1307
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IEEE DOI 1106
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Ramanathan, V.[Vignesh], Huang, J.[Jonathan], Abu-El-Haija, S.[Sami], Gorban, A.[Alexander], Murphy, K.P.[Kevin P.], Fei-Fei, L.[Li],
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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,
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accelerometers BibRef

Chen, H.T.[Hua-Tsung], Ma, K.L.[Kuo-Lian], Chuang, J.H.[Jen-Hui], Lin, H.H.[Horng-Horng],
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Elsevier DOI 1309
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Kim, K.[Kihwan], Grundmann, M.[Matthias], Shamir, A.[Ariel], Matthews, I.[Iain], Hodgins, J.K.[Jessica K.], Essa, I.A.[Irfan A.],
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IEEE DOI 1006
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Wang, S.J.[Shuenn-Jyi], Hsieh, C.K.[Chung-Kai], Chia, T.L.[Tsorng-Lin],
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DOI Link 1404
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Kittler, J.V., Christmas, W.J., de Campos, T., Windridge, D., Yan, F., Illingworth, J., Osman, M.,
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IEEE DOI 1405
Bayes methods BibRef

Khan, A.[Aftab], Windridge, D.[David], de Campos, T.[Teofilo], Kittler, J.V.[Josef V.], Christmas, W.J.[William J.],
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IEEE DOI 1008
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Cricri, F., Roininen, M.J., Leppanen, J., Mate, S., Curcio, I.D.D., Uhlmann, S., Gabbouj, M.,
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Accelerometers BibRef

Khan, A., Windridge, D., Kittler, J.V.[Josef V.],
Multilevel Chinese Takeaway Process and Label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation,
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IEEE DOI 1410
hidden Markov models BibRef

Kapela, R.[Rafal], Swietlicka, A.[Aleksandra], Rybarczyk, A.[Andrzej], Kolanowski, K.[Krzysztof], O'Connor, N.E.[Noel E.],
Real-time event classification in field sport videos,
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Elsevier DOI 1506
Real-time sports event detection BibRef

Windridge, D.[David], Kittler, J.V.[Josef V.], Yan, F.[Fei], Christmas, W.[William], Khan, A.[Aftab],
A Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage,
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IEEE DOI 1507
Computer vision BibRef

Vales-Alonso, J., Chaves-Dieguez, D., Lopez-Matencio, P., Alcaraz, J.J., Parrado-Garcia, F.J., Gonzalez-Castano, F.J.,
SAETA: A Smart Coaching Assistant for Professional Volleyball Training,
SMCS(45), No. 8, August 2015, pp. 1138-1150.
IEEE DOI 1506
Biomedical monitoring BibRef

Sugimura, D.[Daisuke], Tsutsui, H.[Hiroharu], Hamamoto, T.[Takayuki],
Detecting flaws in golf swing using common movements of professional players,
MVA(27), No. 1, January 2016, pp. 13-22.
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Wang, Z., Guo, M., Zhao, C.,
Badminton Stroke Recognition Based on Body Sensor Networks,
HMS(46), No. 5, October 2016, pp. 769-775.
IEEE DOI 1610
body sensor networks BibRef

Zhang, W.C.[Wei-Chen], Liu, Z.G.[Zhi-Guang], Zhou, L.Y.[Liu-Yang], Leung, H.[Howard], Chan, A.B.[Antoni B.],
Martial Arts, Dancing and Sports dataset: A challenging stereo and multi-view dataset for 3D human pose estimation,
IVC(61), No. 1, 2017, pp. 22-39.
Elsevier DOI 1704
Dataset, Human Activities. Human pose estimation BibRef

Thomas, G.[Graham], Gade, R.[Rikke], Moeslund, T.B.[Thomas B.], Carr, P.[Peter], Hilton, A.[Adrian],
Computer vision for sports: Current applications and research topics,
CVIU(159), No. 1, 2017, pp. 3-18.
Elsevier DOI 1706
Player, tracking BibRef

Gudmundsson, J.[Joachim], Horton, M.[Michael],
Spatio-Temporal Analysis of Team Sports,
Surveys(50), No. 2, June 2017, pp. Article No 22.
DOI Link 1708
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 survey recent research efforts that use spatio-temporal data from team sports as input and involve non-trivial computation. This article categorises the research efforts in a coherent framework and identifies a number of open research questions. BibRef

Morel, M.[Marion], Achard, C.[Catherine], Kulpa, R.[Richard], Dubuisson, S.[Séverine],
Automatic evaluation of sports motion: A generic computation of spatial and temporal errors,
IVC(64), No. 1, 2017, pp. 67-78.
Elsevier DOI 1708
Dynamic Time Warping BibRef

Kapela, R.[Rafal], McGuinness, K.[Kevin], O'Connor, N.E.[Noel E.],
Real-time field sports scene classification using colour and frequency space decompositions,
RealTimeIP(13), No. 4, December 2017, pp. 725-737.
Springer DOI 1712
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Malawski, F.[Filip], Kwolek, B.[Bogdan],
Recognition of action dynamics in fencing using multimodal cues,
IVC(75), 2018, pp. 1-10.
Elsevier DOI 1807
Action recognition, Depth maps, Multimodal cues, Motion analysis BibRef

Malawski, F.[Filip], Kwolek, B.[Bogdan],
Improving multimodal action representation with joint motion history context,
JVCIR(61), 2019, pp. 198-208.
Elsevier DOI 1906
Action recognition, Action descriptors, Depth maps, Feature selection, Multimodal representation, Decision-level fusion BibRef

Direkoglu, C.[Cem], O'Connor, N.E.[Noel E.],
Temporal segmentation and recognition of team activities in sports,
MVA(29), No. 5, July 2018, pp. 891-913.
WWW Link. 1808
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Sabirin, H., Yao, Q., Nonaka, K., Sankoh, H., Naito, S.,
Toward Real-Time Delivery of Immersive Sports Content,
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 BibRef

Mi, Q.C.[Qun-Chao], Xue, D.[Dali],
A sound-based video clipping framework toward sports scenes,
JVCIR(55), 2018, pp. 648-653.
Elsevier DOI 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 BibRef

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 BibRef

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.
IEEE DOI 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 BibRef

Zalluhoglu, C.[Cemil], 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], Savarè, S.[Stefano], Jayaram, V.[Vivek], Dubout, C.[Charles], Renaut, F.[Félix], Hasfura, A.[Andrés], Ben Shitrit, H.[Horesh], Fua, P.[Pascal],
Real-time camera pose estimation for sports fields,
MVA(31), No. 3, March 2020, pp. Article16.
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 BibRef

Lu, C.S.[Cong-Sheng], Zhai, F.[Feng],
Weakly-supervised large-scale image modeling for sport scenes and its applications,
JVCIR(71), 2020, pp. 102718.
Elsevier DOI 2009
Sport scene modeling, Weakly-supervised learning, MDA BibRef

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 BibRef

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,
IVC(112), 2021, pp. 104214.
Elsevier DOI 2107
Action recognition, Long short term memory networks (LSTM) with bio-inspired algorithm (BIA) framework, Spatial pyramid pooling SPP-net BibRef

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
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Jølstad, P.A.H.[Petter Andre Husevåg], 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.
DOI Link 2201
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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 BibRef

Marais, M.[Marc], Brown, D.[Dane],
Golf Swing Sequencing Using Computer Vision,
IbPRIA22(351-365).
Springer DOI 2205
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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 BibRef

Wei, C.T.[Chun-Ta], Weng, S.K.[Shiuh-Ku],
A court line extraction algorithm for badminton tournament videos with horizontal line projection learning,
IET-IPR(17), No. 10, 2023, pp. 2907-2924.
DOI Link 2308
court lines, horizontal line projections, Hough transform, k-means machine learning algorithm, self-driving car applications BibRef

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: Datasets, Methods and Applications,
MultMed(25), 2023, pp. 7943-7966.
IEEE DOI 2312
Survey, Sports. BibRef

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 BibRef

Rastegar, S.[Sarah], Doughty, H.[Hazel], Snoek, C.G.M.[Cees G.M.],
Background no more: Action recognition across domains by causal interventions,
CVIU(242), 2024, pp. 103975.
Elsevier DOI 2404
Causal inference, Domain generalization, Background bias removal BibRef

Thoker, F.M.[Fida Mohammad], Doughty, H.[Hazel], Snoek, C.G.M.[Cees G. M.],
Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization,
ICCV23(13766-13777)
IEEE DOI Code:
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
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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 BibRef

Shein, E.[Esther],
AI Judging in Sports,
CACM(67), No. 12, December 2024, pp. 17-19.
DOI Link 2501
News item BibRef

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

Hallett, S.[Stephen], Heidari, S.[Shahrokh], Rogers, M.[Mitchell], Delmas, P.[Patrice],
Vote-Based Line Aggregation for Sports Field Registration,
IVCNZ24(1-6)
IEEE DOI 2503
Deep learning, Image segmentation, Virtual reality, Games, Broadcasting, Reliability, Multimedia communication, Line detection 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
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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
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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
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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
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Nordmo, T.A.S.[Tor-Arne S.], Riegler, M.A.[Michael A.], Johansen, H.D.[Håvard 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
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Juliussen, B.A.[Bjørn Aslak], Rui, J.P.[Jon Petter], Johansen, D.[Dag],
Sport and Nutrition Digital Analysis: A Legal Assessment,
MMMod23(I: 577-588).
Springer DOI 2304
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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
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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
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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
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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

Štepec, 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