A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Live 3D Video in Soccer Stadium
International Journal of Computer Vision
EURASIP Journal on Applied Signal Processing
Distributed visual sensing for virtual top-view trajectory generation in football videos
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Automatic soccer players tracking in goal scenes by camera motion elimination
Image and Vision Computing
Closed-world tracking of multiple interacting targets for indoor-sports applications
Computer Vision and Image Understanding
A novel multimedia data mining framework for information extraction of a soccer video stream
Intelligent Data Analysis
A review of vision-based systems for soccer video analysis
Pattern Recognition
Automatic initialization for 3D soccer player tracking
Pattern Recognition Letters
Automatic player detection, tracking and mapping to field model for broadcast soccer videos
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Self-calibration based 3d information extraction and application in broadcast soccer video
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Tracking and labelling of interacting multiple targets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Automated stroke classification in Tennis
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Bagadus: an integrated system for arena sports analytics: a soccer case study
Proceedings of the 4th ACM Multimedia Systems Conference
Localizing people in multi-view environment using height map reconstruction in real-time
Pattern Recognition Letters
Bagadus: An integrated real-time system for soccer analytics
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special issue of best papers of ACM MMSys 2013 and ACM NOSSDAV 2013
A method of abnormal habits recognition in intelligent space
Engineering Applications of Artificial Intelligence
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Soccer, one of the popular sports around the world, is often broadcasted on TV, and various researches have done on soccer scene images such as strategy analysis, scene recovery, automatic indexing of soccer scenes, and automatic intelligent sports casting. As robust player tracking is fundamental to those researches, there is a demand for an automatic player tracking system using soccer imaging data. In this paper, we propose a method of tracking soccer players using multiple views. Tracking is done by integrating the tracking data from all cameras, using the geometrical relationship between cameras called homography. Integrating information from all cameras enables stable tracking on the scene, where the tracking by a single camera often fails in the case of occlusion.