17.1.3.8.12 Tennis Tracking, Desctiptions, Line Judge

Chapter Contents (Back)
Activity Recognition. Tennis.

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


Kulkarni, K.M.[Kaustubh Milind], Shenoy, S.[Sucheth],
Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation,
CVSports21(4571-4579)
IEEE DOI 2109
Training, Deep learning, Computational modeling, Pose estimation, Neural networks, Stroke (medical condition) 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 .


Last update:Mar 16, 2024 at 20:36:19