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ICPR
2008
IEEE

Group action recognition in soccer videos

9 years 8 months ago
Group action recognition in soccer videos
Group action recognition in soccer videos is a challenging problem due to the difficulties of group action representation and camera motion estimation. This paper presents a novel approach for recognizing group action with a moving camera. In our approach, egomotion is estimated by the Kanade-Lucas-Tomasi feature sets on successive frames. The optical flow is then computed on compensated frames. Due to the inaccurate ego-motion estimation, the optical flow can not reflect accurate motion of objects. In this paper, we propose a new motion descriptor which treats the optical flow as spatial patterns and extracts accurate global motion from the noisy optical flow. The Latent-Dynamic Conditional Random Field model is employed to recognize group action. Experimental results show that our approach is promising.
Qingdi Wei, Weiming Hu, Xiaoqin Zhang, Yu Kong, Yu
Added 05 Nov 2009
Updated 06 Nov 2009
Type Conference
Year 2008
Where ICPR
Authors Qingdi Wei, Weiming Hu, Xiaoqin Zhang, Yu Kong, Yunde Jia
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