Human action recognition using differential motion

dc.contributor.guide	Sethi, Amit and Krishnaswamy, Srinivasan
dc.coverage.spatial	Electronics and Electrical Engineering
dc.creator.researcher	Yadav, Gaurav Kumar
dc.date.accessioned	2023-03-15T06:54:45Z
dc.date.available	2023-03-15T06:54:45Z
dc.date.awarded	2018
dc.date.completed	2018
dc.date.registered	2011
dc.description.abstract	Analyzing video and getting information from it is a growing field in computer vision The differential feature of a video compared to an image is motion A video is a very high dimensional data and contains information of the environment which is important for applications such as navigation surveillance and video indexing Therefore extracting a compact representation of a video is required which can be used for various applications There are various methods for estimating the motion from
dc.description.note	Not Available
dc.format.accompanyingmaterial	None
dc.format.dimensions	Not Available
dc.format.extent	Not Available
dc.identifier.uri	http://hdl.handle.net/10603/469416
dc.language	English
dc.publisher.institution	DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING
dc.publisher.place	Guwahati
dc.publisher.university	Indian Institute of Technology Guwahati
dc.relation	Not Available
dc.rights	self
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.title	Human action recognition using differential motion
dc.title.alternative	Not available
dc.type.degree	Ph.D.