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» Learning Group Activity in Soccer Videos from Local Motion
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ACCV
2009
Springer
13 years 10 months ago
Learning Group Activity in Soccer Videos from Local Motion
Abstract. This paper proposes a local motion-based approach for recognizing group activities in soccer videos. Given the SIFT keypoint matches on two successive frames, we propose ...
Yu Kong, Weiming Hu, Xiaoqin Zhang, Hanzi Wang, Yu...
ICMCS
2005
IEEE
113views Multimedia» more  ICMCS 2005»
13 years 9 months ago
Highlights extraction from sports video based on an audio-visual marker detection framework
We propose to use a visual object (e.g., the baseball catcher) detection algorithm to find local, semantic objects in video frames in addition to an audio classification algorit...
Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divaka...
ISVC
2009
Springer
13 years 10 months ago
Group Action Recognition Using Space-Time Interest Points
Group action recognition is a challenging task in computer vision due to the large complexity induced by multiple motion patterns. This paper aims at analyzing group actions in vid...
Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, Ha...
CVPR
2010
IEEE
13 years 1 months ago
Group motion segmentation using a Spatio-Temporal Driving Force Model
We consider the `group motion segmentation' problem and provide a solution for it. The group motion segmentation problem aims at analyzing motion trajectories of multiple obj...
Ruonan Li, Rama Chellappa
CVPR
2012
IEEE
11 years 6 months ago
Nonparametric discovery of activity patterns from video collections
We propose a nonparametric framework based on the beta process for discovering temporal patterns within a heterogenous video collection. Starting from quantized local motion descr...
Michael C. Hughes, Erik B. Sudderth