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» Trajectory Analysis for Soccer Players
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AAAI
2012
12 years 12 months ago
Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League
Real-world AI systems have been recently deployed which can automatically analyze the plan and tactics of tennis players. As the game-state is updated regularly at short intervals...
Patrick Lucey, Alina Bialkowski, Peter Carr, Eric ...
ICMCS
2008
IEEE
169views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Encoding optimization of low resolution soccer video sequences
In this article we propose an optimization method for encoding low resolution soccer video sequences. The considered video codec is the state of the art H.264/AVC, as recommended ...
Luca Superiori, Markus Rupp
CVPR
2010
IEEE
15 years 2 months ago
Motion Fields to Predict Play Evolution in Dynamic Sport Scenes
Videos of multi-player team sports provide a challenging domain for dynamic scene analysis. Player actions and interactions are complex as they are driven by many factors, such as...
Kihwan Kim, Matthias Grundmann, Ariel Shamir, Iain...
IPCV
2007
14 years 11 months ago
Tracking Multiple Sports Players for Mobile Display
- An architecture system and a method for tracking people are presented for sports applications. The system’s input is video data from static camera and the output is the real wo...
Andreas Aristidou, Paul Pangalos, Hamid Aghvami
ICASSP
2007
IEEE
14 years 11 months ago
Physics-Based Ball Tracking in Volleyball Videos with its Applications to Set Type Recognition and Action Detection
Despite a lot of research efforts in sports video processing, little work was done in volleyball video analysis due to the high density of players on the court and the complicated...
Hua-Tsung Chen, Hsuan-Sheng Chen, Suh-Yin Lee