Hawk-Eye Innovations,
1999. Tennis, Cricket.
WWW Link.
Vendor, Sports.
Motion matching and tracking systems.
Tennis line judges. Used at the US Open since 2006.
Accuracy averages 3.6mm.
Yan, F.[Fei],
Christmas, W.J.[William J.],
Kittler, J.V.[Josef V.],
Layered Data Association Using Graph-Theoretic Formulation with
Application to Tennis Ball Tracking in Monocular Sequences,
PAMI(30), No. 10, October 2008, pp. 1814-1830.
IEEE DOI
0810
BibRef
Earlier:
All Pairs Shortest Path Formulation for Multiple Object Tracking with
Application to Tennis Video Analysis,
BMVC07(xx-yy).
PDF File.
0709
Tracking tennis ball in a match. Also extracting the different plays (shots).
BibRef
Yan, F.[Fei],
Kostin, A.[Alexey],
Christmas, W.J.[William J.],
Kittler, J.V.[Josef V.],
A Novel Data Association Algorithm for Object Tracking in Clutter with
Application to Tennis Video Analysis,
CVPR06(I: 634-641).
IEEE DOI
0606
BibRef
Yan, F.[Fei],
Christmas, W.J.[William J.],
Kittler, J.V.[Josef V.],
A Maximum A Posteriori Probability Viterbi Data Association Algorithm
for Ball Tracking in Sports Video,
ICPR06(I: 279-282).
IEEE DOI
0609
BibRef
Earlier:
A Tennis Ball Tracking Algorithm for Automatic Annotation of Tennis
Match,
BMVC05(xx-yy).
HTML Version.
0509
BibRef
Yu, X.G.[Xin-Guo],
Jiang, N.J.[Nian-Juan],
Cheong, L.F.[Loong-Fah],
Leong, H.W.[Hon Wai],
Yan, X.[Xin],
Automatic camera calibration of broadcast tennis video with
applications to 3D virtual content insertion and ball detection and
tracking,
CVIU(113), No. 5, May 2009, pp. 643-652.
Elsevier DOI
0904
Sports video; Camera calibration; Group-wise data analysis; Hough-like
search; Virtual content insertion; Ball detection and tracking
BibRef
Yu, X.G.[Xin-Guo],
Sim, C.H.[Chern-Horng],
Wang, J.R.,
Cheong, L.F.[Loong Fah],
A trajectory-based ball detection and tracking algorithm in broadcast
tennis video,
ICIP04(II: 1049-1052).
IEEE DOI
0505
BibRef
Liu, C.X.[Chun-Xi],
Huang, Q.M.[Qing-Ming],
Jiang, S.Q.[Shu-Qiang],
Xing, L.Y.[Li-Yuan],
Ye, Q.X.[Qi-Xiang],
Gao, W.[Wen],
A framework for flexible summarization of racquet sports video using
multiple modalities,
CVIU(113), No. 3, March 2009, pp. 415-424.
Elsevier DOI
0902
Sports video summarization; Scene segmentation; Temporal voting
strategy; Highlight ranking
BibRef
Zhu, G.Y.[Guang-Yu],
Xu, C.S.[Chang-Sheng],
Huang, Q.M.[Qing-Ming],
Gao, W.[Wen],
Action Recognition in Broadcast Tennis Video,
ICPR06(I: 251-254).
IEEE DOI
0609
BibRef
Wang, J.J.[Jin-Jun],
Xu, C.S.[Chang-Sheng],
Chng, E.S.[Eng-Siong],
Automatic Sports Video Genre Classification using Pseudo-2D-HMM,
ICPR06(IV: 778-781).
IEEE DOI
0609
BibRef
Chang, C.H.[Chia-Hu],
Hsieh, K.Y.[Kuei-Yi],
Chiang, M.C.[Ming-Che],
Wu, J.L.[Ja-Ling],
Virtual spotlighted advertising for tennis videos,
JVCIR(21), No. 7, October 2010, pp. 595-612.
Elsevier DOI
1003
Tennis video analysis; Visual intrusiveness; Sports video advertising;
Image advertising; Virtual advertising; Foveation model; Virtual
product placement; Gestalt effect; Ad-blindness effect; Subliminal
perception
BibRef
Lai, J.H.[Jui-Hsin],
Chen, C.L.[Chieh-Li],
Kao, C.C.[Chieh-Chi],
Chien, S.Y.[Shao-Yi],
Tennis Video 2.0: A new presentation of sports videos with content
separation and rendering,
JVCIR(22), No. 3, April 2011, pp. 271-283.
Elsevier DOI
1103
Interactive video; Video analysis; Video enrichment; Video rendering;
Event search; Scalable video; Video annotation; Object segmentation;
Sprite; Matting
BibRef
Lai, J.H.[Jui-Hsin],
Chen, C.L.[Chieh-Li],
Wu, P.C.,
Kao, C.C.[Chieh-Chi],
Hu, M.C.,
Chien, S.Y.[Shao-Yi],
Tennis Real Play,
MultMed(14), No. 6, 2012, pp. 1602-1617.
IEEE DOI
1212
BibRef
Yan, F.[Fei],
Kittler, J.V.[Josef V.],
Windridge, D.[David],
Christmas, W.[William],
Mikolajczyk, K.[Krystian],
Cox, S.[Stephen],
Huang, Q.A.[Qi-Ang],
Automatic annotation of tennis games:
An integration of audio, vision, and learning,
IVC(32), No. 11, 2014, pp. 896-903.
Elsevier DOI
1410
Tennis annotation
BibRef
Zhou, X.Z.[Xiang-Zeng],
Xie, L.[Lei],
Huang, Q.A.[Qi-Ang],
Cox, S.J.,
Zhang, Y.N.[Yan-Ning],
Tennis Ball Tracking Using a Two-Layered Data Association Approach,
MultMed(17), No. 2, February 2015, pp. 145-156.
IEEE DOI
1502
computer graphics
BibRef
Renò, V.[Vito],
Mosca, N.[Nicola],
Nitti, M.[Massimiliano],
d'Orazio, T.[Tiziana],
Guaragnella, C.[Cataldo],
Campagnoli, D.[Donato],
Prati, A.[Andrea],
Stella, E.[Ettore],
A technology platform for automatic high-level tennis game analysis,
CVIU(159), No. 1, 2017, pp. 164-175.
Elsevier DOI
1706
Synchronized, cameras, platform
BibRef
Oshita, M.[Masaki],
Inao, T.[Takumi],
Ineno, S.[Shunsuke],
Mukai, T.[Tomohiko],
Kuriyama, S.[Shigeru],
Development and evaluation of a self-training system for tennis shots
with motion feature assessment and visualization,
VC(35), No. 11, November 2018, pp. 1517-1529.
Springer DOI
1911
BibRef
AlShami, A.[Ali],
Boult, T.[Terrance],
Kalita, J.[Jugal],
Pose2Trajectory: Using transformers on body pose to predict tennis
player's trajectory,
JVCIR(97), 2023, pp. 103954.
Elsevier DOI
2312
Body joints, Object detection, Human pose estimation
BibRef
Voeikov, R.,
Falaleev, N.,
Baikulov, R.,
TTNet: Real-time temporal and spatial video analysis of table tennis,
CVSports20(3866-3874)
IEEE DOI
2008
Games, Task analysis, Streaming media, Semantics,
Real-time systems
BibRef
Martin, P.E.[Pierre-Etienne],
Benois-Pineau, J.[Jenny],
Péteri, R.[Renaud],
Morlier, J.[Julien],
3D attention mechanism for fine-grained classification of table
tennis strokes using a Twin Spatio-Temporal Convolutional Neural
Networks,
ICPR21(6019-6026)
IEEE DOI
2105
BibRef
Earlier: A1, A2, A3, Only:
Fine-Grained Action Detection and Classification in Table Tennis with
Siamese Spatio-Temporal Convolutional Neural Network,
ICIP19(3027-3028)
IEEE DOI
1910
Training, Solid modeling, Visualization,
Stroke (medical condition), Planning.
Deep Learning, Optical Flow, Action classification, Spatio-temporal convolution
BibRef
Messelodi, S.,
Modena, C.M.,
Ropele, V.,
Marcon, S.,
Sgrò, M.,
A Low-Cost Computer Vision System for Real-Time Tennis Analysis,
CIAP19(I:106-116).
Springer DOI
1909
BibRef
Renò, V.,
Mosca, N.,
Marani, R.,
Nitti, M.,
d'Orazio, T.,
Stella, E.,
Convolutional Neural Networks Based Ball Detection in Tennis Games,
CVSports18(1839-18396)
IEEE DOI
1812
Sports, Cameras, Training, Games, Neural networks, Feature extraction
BibRef
Pokharel, S.[Shiraj],
Zhu, Y.[Ying],
Analysis and Visualization of Sports Performance Anxiety in Tennis
Matches,
ISVC18(407-419).
Springer DOI
1811
BibRef
Faulkner, H.,
Dick, A.,
TenniSet: A Dataset for Dense Fine-Grained Event Recognition,
Localisation and Description,
DICTA17(1-8)
IEEE DOI
1804
image recognition, image sequences,
learning (artificial intelligence), video signal processing,
YouTube
BibRef
Mora, S.V.,
Knottenbelt, W.J.,
Deep Learning for Domain-Specific Action Recognition in Tennis,
CVSports17(170-178)
IEEE DOI
1709
Convolution, Feature extraction, Machine learning, Neural networks,
Training, Videos
BibRef
Pulgarin-Giraldo, J.D.,
Alvarez-Meza, A.M.,
Melo-Betancourt, L.G.,
Ramos-Bermudez, S.,
Castellanos-Dominguez, G.,
A Similarity Indicator for Differentiating Kinematic Performance
Between Qualified Tennis Players,
CIARP16(309-317).
Springer DOI
1703
BibRef
Kos, M.,
Ženko, J.,
Vlaj, D.,
Kramberger, I.,
Tennis stroke detection and classification using miniature wearable
IMU device,
WSSIP16(1-4)
IEEE DOI
1608
accelerometers
BibRef
Sukhwani, M.,
Jawahar, C.V.,
Frame level annotations for tennis videos,
ICPR16(841-846)
IEEE DOI
1705
Dictionaries, Encoding, Feature extraction,
Multimedia communication, Semantics, Streaming media, Videos
BibRef
Yan, F.,
Mikolajczyk, K.,
Kittler, J.V.[Josef V.],
Generating commentaries for tennis videos,
ICPR16(2658-2663)
IEEE DOI
1705
Correlation, Games, Support vector machines,
Training, Videos, Visualization
BibRef
Reno, V.,
Mosca, N.,
Nitti, M.,
d'Orazio, T.,
Campagnoli, D.,
Prati, A.,
Stella, E.,
Tennis Player Segmentation for Semantic Behavior Analysis,
CVSports15(718-725)
IEEE DOI
1602
Algorithm design and analysis
BibRef
Sukhwani, M.[Mohak],
Jawahar, C.V.,
TennisVid2Text: Fine-grained Descriptions for Domain Specific Videos,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Bacic, B.[Boris],
Echo State Network for 3D Motion Pattern Indexing:
A Case Study on Tennis Forehands,
PSIVT15(295-306).
Springer DOI
1602
BibRef
And:
Extracting Player’s Stance Information from 3D Motion Data: A Case
Study in Tennis Groundstrokes,
VSWS15(307-318).
Springer DOI
1603
BibRef
Vainstein, J.[Jonathan],
Manera, J.F.[José F.],
Negri, P.[Pablo],
Delrieux, C.[Claudio],
Maguitman, A.[Ana],
Modeling Video Activity with Dynamic Phrases and Its Application to
Action Recognition in Tennis Videos,
CIARP14(909-916).
Springer DOI
1411
BibRef
Gourgari, S.[Sofia],
Goudelis, G.[Georgios],
Karpouzis, K.[Konstantinos],
Kollias, S.[Stefanos],
THETIS: Three Dimensional Tennis Shots a Human Action Dataset,
BAG13(676-681)
IEEE DOI
1309
3D representation; Human action recognition; Kinect; dataset
BibRef
Wei, X.Y.[Xin-Yu],
Lucey, P.[Patrick],
Morgan, S.[Stuart],
Sridharan, S.[Sridha],
Predicting Shot Locations in Tennis Using Spatiotemporal Data,
DICTA13(1-8)
IEEE DOI
1402
belief networks
BibRef
Nieto, R.M.[Rafael Martin],
Martinez Sanchez, J.M.[Jose Maria],
An automatic system for sports analytics in multi-camera tennis
videos,
AVSS13(438-442)
IEEE DOI
1311
Algorithm design and analysis
BibRef
Bauza, C.G.[Cristian García],
d'Amato, J.[Juan],
Gariglio, A.[Andrés],
Abásolo, M.J.[María José],
Vénere, M.[Marcelo],
Manresa-Yee, C.[Cristina],
Mas-Sansó, R.[Ramon],
A Tennis Training Application Using 3D Gesture Recognition,
AMDO12(239-249).
Springer DOI
1208
BibRef
Monaghan, D.[David],
Kelly, P.[Philip],
O'Connor, N.E.[Noel E.],
Dynamic voxel carving in tennis based on player localisation using a
low cost camera network,
ICIP11(1001-1004).
IEEE DOI
1201
BibRef
FarajiDavar, N.[Nazli],
de Campos, T.[Teofilo],
Kittler, J.V.[Josef V.],
Yan, F.[Fei],
Transductive transfer learning for action recognition in tennis games,
VECTaR11(1548-1553).
IEEE DOI
1201
BibRef
Conaire, C.Ó.[Ciarán Ó.],
Connaghan, D.[Damien],
Kelly, P.[Philip],
O'Connor, N.E.[Noel E.],
Gaffney, M.[Mark],
Buckley, J.[John],
Combining inertial and visual sensing for human action recognition in
tennis,
ARTEMIS10(51-56).
DOI Link
1111
BibRef
Teachabarikiti, K.,
Chalidabhongse, T.H.,
Thammano, A.,
Players tracking and ball detection for an automatic tennis video
annotation,
ICARCV10(2461-2494).
IEEE DOI
1109
BibRef
Almajai, I.,
Kittler, J.V.,
de Campos, T.,
Christmas, W.J.,
Yan, F.,
Windridge, D.,
Khan, A.,
Ball event recognition using hmm for automatic tennis annotation,
ICIP10(1509-1512).
IEEE DOI
1009
BibRef
Pansiot, J.[Julien],
Elsaify, A.[Ahmed],
Lo, B.[Benny],
Yang, G.Z.[Guang-Zhong],
RACKET: Real-time autonomous computation of kinematic elements in
tennis,
EmbedCV09(773-779).
IEEE DOI
0910
BibRef
Jiang, Y.C.[Yao-Chuan],
Lai, K.T.[Kuan-Ting],
Hsieh, C.H.[Chaur-Heh],
Lai, M.F.[Mau-Fu],
Player Detection and Tracking in Broadcast Tennis Video,
PSIVT09(759-770).
Springer DOI
0901
BibRef
Shah, H.[Hitesh],
Chockalingam, P.[Prakash],
Paluri, B.[Balamanohar],
Pradeep, N.[Nalin],
Balasubramanian, R.[Raman],
Automated Stroke Classification in Tennis,
ICIAR07(1128-1137).
Springer DOI
0708
BibRef
Zhu, G.Y.[Guang-Yu],
Xu, C.S.[Chang-Sheng],
Gao, W.[Wen],
Huang, Q.M.[Qing-Ming],
Action Recognition in Broadcast Tennis Video Using Optical Flow and
Support Vector Machine,
CVHCI06(89-98).
Springer DOI
0605
BibRef
Zhu, G.Y.[Guang-Yu],
Xu, C.S.[Chang-Sheng],
Zhang, Y.[Yi],
Huang, Q.M.[Qing-Ming],
Lu, H.Q.[Han-Qing],
Event tactic analysis based on player and ball trajectory in broadcast
video,
CIVR08(515-524).
0807
BibRef
Rea, N.,
Dahyot, R.,
Kokaram, A.C.,
Classification and Representation of Semantic Content in Broadcast
Tennis Videos,
ICIP05(III: 1204-1207).
IEEE DOI
0512
BibRef
Rea, N.,
Dahyot, R.,
Kokaram, A.C.,
Semantic Event Detection in Sports Through Motion Understanding,
CIVR04(88-97).
Springer DOI
0505
BibRef
Wang, P.[Peng],
Cai, R.[Rui],
Li, B.[Bin],
Yang, S.Q.[Shi-Qiang],
A pinhole camera modeling of motion vector field for tennis video
analysis,
ICIP04(I: 705-708).
IEEE DOI
0505
BibRef
Wang, P.[Peng],
Cai, R.[Rui],
Yang, S.Q.[Shi-Qiang],
Tennis Video Analysis Based on Transformed Motion Vectors,
CIVR04(79-87).
Springer DOI
0505
BibRef
Calvo, C.,
Micarelli, A.,
Sangineto, E.,
Automatic Annotation of Tennis Video Sequences,
DAGM02(540 ff.).
Springer DOI
0303
BibRef
Pingali, G.S.,
Jean, Y.D.,
Opalach, A.,
Ball Tracking and Virtual Replays for Innovative Tennis Broadcasts,
ICPR00(Vol IV: 152-156).
IEEE DOI
0009
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Basketball Tracking, Desctiptions, Line Judge .