Mining Layered Grammar Rules for Action Recognition

doi:10.1007/s11263-010-0393-z

CORC > 北京大学 > 信息科学技术学院

	Mining Layered Grammar Rules for Action Recognition
	Wang, Liang ; Wang, Yizhou ; Gao, Wen
刊名	国际计算机视觉杂志
	2011
关键词	Action recognition Layered-grammar model Action parse tree Emerging pattern mining REPRESENTATION SEGMENTATION WORDS
DOI	10.1007/s11263-010-0393-z
英文摘要	We propose a layered-grammar model to represent actions. Using this model, an action is represented by a set of grammar rules. The bottom layer of an action instance's parse tree contains action primitives such as spatiotemporal (ST) interest points. At each layer above, we iteratively mine grammar rules and "super rules" that account for the high-order compositional feature structures. The grammar rules are categorized into three classes according to three different ST-relations of their action components, namely the strong relation, weak relation and stochastic relation. These ST-relations characterize different action styles (degree of stiffness), and they are pursued in terms of grammar rules for the purpose of action recognition. By adopting the Emerging Pattern (EP) mining algorithm for relation pursuit, the learned production rules are statistically significant and discriminative. Using the learned rules, the parse tree of an action video is constructed by combining a bottom-up rule detection step and a top-down ambiguous rule pruning step. An action instance is recognized based on the discriminative configurations generated by the production rules of its parse tree. Experiments confirm that by incorporating the high-order feature statistics, the proposed method largely improves the recognition performance over the bag-of-words models.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000288806000004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; SCI(E); EI; 9; ARTICLE; 2; 162-182; 93
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/239252]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wang, Liang,Wang, Yizhou,Gao, Wen. Mining Layered Grammar Rules for Action Recognition[J]. 国际计算机视觉杂志,2011.
APA	Wang, Liang,Wang, Yizhou,&Gao, Wen.(2011).Mining Layered Grammar Rules for Action Recognition.国际计算机视觉杂志.
MLA	Wang, Liang,et al."Mining Layered Grammar Rules for Action Recognition".国际计算机视觉杂志 (2011).