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Vision based player detection is important in sports applications.
A short introduction to boosting
Y. Freund, R. Schapire, and N. Abe · 1999
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Real-time view recognition and event detection for sports video
D. Zhong and S. F. Chang · 2004
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Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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WOW: wild-open warning for broadcast basketball video based on player trajectory
M. H. Chang, M. C. Tien, and J. L. Wu · 2009
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Integral channel features
P. Dollár, Z. Tu, P. Perona, and S. Belongie · 2009
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Designing efficient cascaded classifiers: tradeoff between accuracy and cost
V. C. Raykar, B. Krishnapuram, and S. Yu · 2010
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Personalized production of basketball videos from multi-sensored data under limited display resolution
F. Chen and C. D. Vleeschouwer · 2010
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Monocular object detection using 3D geometric primitives
P. Carr, Y. Sheikh, and I. Matthews · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Segmentation of football video broadcast
S. Mackowiak · 2013
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Learning to track and identify players from broadcast sports videos
W. L. Lu, J. A. Ting, J. J. Little, and K. P. Murphy · 2013
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Selective search for object recognition
J. R. R. Uijlings, K. E. A. van de Sande, T. Gevers, and A. W. M. Smeulders · 2013
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Online learned player recognition model based soccer player tracking and labeling for long-shot scenes
W. Xu, Q. Zhao, Y. Wang, and X. Li · 2014
Cited alongside, same era.
Condensation-based multi-person detection and tracking with HOG and LBP
B. Li, C. Yang, Q. Zhang, and G. Xu · 2014
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Adaptive pattern recognition in real-time video-based soccer analysis
M. Schlipsing, J. Salmen, M. Tschentscher, and C. Igel · 2014
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Automatic player position detection in basketball games
Z. Ivankovic, M. Rackovic, and M. Ivkovic · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Fast R-CNN
R. Girshick · 2015
Cited alongside, same era.
Joint training of cascaded CNN for face detection
H. Qin, J. Yan, X. Li, and X. Hu · 2016
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Is faster R-CNN doing well for pedestrian detection?
L. Zhang, L. Lin, X. Liang, and K. He · 2016
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2016
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Sentioscope: a soccer player tracking system using model field particles
S. Baysal and P. Duygulu · 2016
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Learning to count with CNN boosting
E. Walach and L. Wolf · 2016
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Where should cameras look at soccer games: Improving smoothness using the overlapped hidden Markov model
J. Chen and J. J. Little · 2017
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Real-time pedestrian detection with deep network cascades
A. Angelova, A. Krizhevsky, V. Vanhoucke, and A. O. D. Ferguson · 2015
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A convolutional neural network cascade for face detection
H. Li, Z. Lin, X. Shen, J. Brandt, and G. Hua · 2015
Cited alongside, same era.
A method for stochastic optimization
D. P. Kingma and J. L. Ba · 2015
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MatConvNet – convolutional neural networks for matlab
A. Vedaldi and K. Lenc · 2015
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You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
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Exploit all the layers: Fast and accurate CNN object detector with scale dependent pooling and cascaded rejection classifiers
F. Yang, W. Choi, and Y. Lin · 2016
Cited alongside, same era.
Computer vision for sports: Current applications and research topics
G. Thomas, R. Gade, T. B Moeslund, P. Carr, and A. Hilton · 2017
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Scene-specific classifier for effective and efficient team sport players detection from a single calibrated camera
P. Parisot and C. D. Vleeschouwer · 2017
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2017
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A survey on player tracking in soccer videos
M. Manafifard, H. Ebadi, and H. Abrishami Moghaddam · 2017
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http://sites.uclouvain.be/ispgroup/index.php/Softwares/APIDIS
Apidis dataset · 2017
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http://sites.uclouvain.be/ispgroup/index.php/Softwares/SPIROUDOME
Spiroudome dataset · 2017
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