Mid-level features and spatio-temporal context for activity recognition

	Mid-level features and spatio-temporal context for activity recognition
	Yuan, Fei; Xia, Gui-Song; Sahbi, Hichem; Prinet, Veronique
发表期刊	PATTERN RECOGNITION
	2012-12-01
卷号	45 期号:12 页码:4182-4191
文章类型	Article
摘要	Local spatio-temporal features have been shown to be effective and robust in order to represent simple actions. However, for high level human activities with long-range motion or multiple interactive body parts and persons, the limitation of low-level features blows up because of their localness. This paper addresses the problem by suggesting a framework that computes mid-level features and takes into account their contextual information.
关键词	Activity Recognition Mid-level Features Activity Components Spatio-temporal Context Kernels
WOS标题词	Science & Technology ; Technology
关键词[WOS]	IMAGE SEGMENTATION ; SPACE
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000308271000010
引用统计	被引频次：35[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40904
专题	复杂系统认知与决策实验室_听觉模型与认知计算
推荐引用方式 GB/T 7714	Yuan, Fei,Xia, Gui-Song,Sahbi, Hichem,et al. Mid-level features and spatio-temporal context for activity recognition[J]. PATTERN RECOGNITION,2012,45(12):4182-4191.
APA	Yuan, Fei,Xia, Gui-Song,Sahbi, Hichem,&Prinet, Veronique.(2012).Mid-level features and spatio-temporal context for activity recognition.PATTERN RECOGNITION,45(12),4182-4191.
MLA	Yuan, Fei,et al."Mid-level features and spatio-temporal context for activity recognition".PATTERN RECOGNITION 45.12(2012):4182-4191.