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ORCIDComputer Vision and Image Understanding, Volume 159
Volume 159, June 2017
- Thomas B. Moeslund
, Graham A. Thomas, Adrian Hilton, Peter Carr, Irfan Essa:
Computer Vision in Sports. 1-2 - Graham A. Thomas, Rikke Gade, Thomas B. Moeslund, Peter Carr, Adrian Hilton:
Computer vision for sports: Current applications and research topics. 3-18 - Mehrtash Manafifard, Hamid Ebadi, Hamid Abrishami Moghaddam:
A survey on player tracking in soccer videos. 19-46 - Francesco Setti, Davide Conigliaro, Paolo Rota, Chiara Bassetti, Nicola Conci, Nicu Sebe, Marco Cristani:
The S-Hock dataset: A new benchmark for spectator crowd analysis. 47-58 - Jianhui Chen, James J. Little:
Where should cameras look at soccer games: Improving smoothness using the overlapped hidden Markov model. 59-73 - Pascaline Parisot, Christophe De Vleeschouwer:
Scene-specific classifier for effective and efficient team sport players detection from a single calibrated camera. 74-88 - Henrique Morimitsu, Isabelle Bloch, Roberto Marcondes Cesar Junior:
Exploring structure for long-term tracking of multiple objects in sports videos. 89-104 - Sebastian Gerke, Antje Linnemann, Karsten Müller:
Soccer player recognition using spatial constellation features and jersey number recognition. 105-115 - Ami Drory, Gao Zhu, Hongdong Li, Richard I. Hartley:
Automated detection and tracking of slalom paddlers from broadcast image sequences using cascade classifiers and discriminative correlation filters. 116-127 - Francesco Turchini, Lorenzo Seidenari, Alberto Del Bimbo:
Understanding and localizing activities from correspondences of clustered trajectories. 128-142 - Soudeh Kasiri Bidhendi, Clinton Fookes, Sridha Sridharan, Stuart Morgan:
Fine-grained action recognition of boxing punches from depth imagery. 143-153 - Brian Reily, Hao Zhang, William A. Hoff:
Real-time gymnast detection and performance analysis with a portable 3D camera. 154-163 - Vito Renò, Nicola Mosca, Massimiliano Nitti, Tiziana D'Orazio, Cataldo Guaragnella, Donato Campagnoli, Andrea Prati, Ettore Stella:
A technology platform for automatic high-level tennis game analysis. 164-175
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