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Multi-view Gymnastic Activity Recognition with Fused HMM
Ying Wang; Kaiqi Huang; Tieniu Tan
2007
会议名称the 8th Asian Conference on Computer Vision
会议录名称the 8th Asian Conference on Computer Vision
页码667-677
会议日期2007
会议地点Tokyo, Japan
摘要More and more researchers focus their studies on multi-view activity recognition, because a fixed view could not provide enough information for recognition. In this paper, we use multi-view features to recognize six kinds of gymnastic activities. Firstly, shape-based features are extracted from two orthogonal cameras in the form of 脗\Re transform. Then a multi-view approach based on Fused HMM is proposed to combine different features for similar gymnastic activity recognition. Compared with other activity models, our method achieves better performance even in the case of frame loss.
关键词Multi-view Gymnastic Activity Recognition
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12716
专题智能感知与计算研究中心
通讯作者Kaiqi Huang
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Ying Wang,Kaiqi Huang,Tieniu Tan. Multi-view Gymnastic Activity Recognition with Fused HMM[C],2007:667-677.
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