QQ客服 官方微博 反馈留言

	A Set of Co-occurrence Matrices on the Intrinsic Manifold of Human Silhouettes for Action Recognition
	Feng Zheng; Ling Shao; Zhan Song
	2010
会议名称	ACM International Conference on Image and Video Retrieval, ACM-CIVR 2010
会议地点	Xi’an China
英文摘要	Recognizing actions from a monocular video is a very hot topic in computer vision recently. In this paper, we propose a new representation of actions on the intrinsic shape manifold learned by various graph embedding algorithms. The co-occurrence matrices descriptor captures more temporal information than the histogram descriptor which only considers the spatial information. In addition, we compare the performance of the co-occurrence matrices descriptor on different manifolds learned by various graph embedding methods. The results show that nonlinear algorithms are more robust than linear ones. Furthermore, we conclude that label information plays a critical role in learning more discriminating manifolds
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/2847]
专题	深圳先进技术研究院_集成所
作者单位	2010
推荐引用方式 GB/T 7714	Feng Zheng,Ling Shao,Zhan Song. A Set of Co-occurrence Matrices on the Intrinsic Manifold of Human Silhouettes for Action Recognition[C]. 见:ACM International Conference on Image and Video Retrieval, ACM-CIVR 2010. Xi’an China.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。