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	Recognizing Human Actions in Low-Resolution Videos: An Approach Based on the Dempster-Shafer Theory
	Gao Z.; Lu G.; Yan P.
刊名	International Journal of Pattern Recognition and Artificial Intelligence
	2018
关键词	Action recognition Dempster-Shafer theory low-resolution videos
DOI	10.1142/S0218001419560020
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4571165
专题	山东大学
作者单位	Key Laboratory of High-efficiency and Clean Mechanical Manufacture of MOE, National Demonstration Center for Experimental Mechanical Engineer
推荐引用方式 GB/T 7714	Gao Z.,Lu G.,Yan P.. Recognizing Human Actions in Low-Resolution Videos: An Approach Based on the Dempster-Shafer Theory[J]. International Journal of Pattern Recognition and Artificial Intelligence,2018.
APA	Gao Z.,Lu G.,&Yan P..(2018).Recognizing Human Actions in Low-Resolution Videos: An Approach Based on the Dempster-Shafer Theory.International Journal of Pattern Recognition and Artificial Intelligence.
MLA	Gao Z.,et al."Recognizing Human Actions in Low-Resolution Videos: An Approach Based on the Dempster-Shafer Theory".International Journal of Pattern Recognition and Artificial Intelligence (2018).

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