Video representation by dense trajectories motion map applied to human activity recognition

Autor:	Fida Hussain, Sheeraz Arif, Jing Wang, Tehseen Ul-Hassan, Zesong Fei
Rok vydání:	2018
Předmět:	business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Representation (systemics) 020206 networking & telecommunications 02 engineering and technology Computer Graphics and Computer-Aided Design Motion (physics) Computer Science Applications Activity recognition Hardware and Architecture Salient Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia 0202 electrical engineering electronic engineering information engineering Trajectory Action recognition 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Software
Zdroj:	International Journal of Computers and Applications. 42:474-484
ISSN:	1925-7074 1206-212X
DOI:	10.1080/1206212x.2018.1486001
Popis:	This paper introduces an efficient video representation method based on the dense trajectory motion map (DTM). We utilize the salient features of dense trajectories and motion descriptor to integra...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b945638f81572d87805d061c33d33c34 https://doi.org/10.1080/1206212x.2018.1486001 Zobrazit plný text záznamu