Anomaly detection in video surveillance using artificial neural network with diverse features

dc.contributor.guide	Kumar, Dhananjay
dc.coverage.spatial	Information and Communication Engineering
dc.creator.researcher	R, Revathi A
dc.date.accessioned	2019-03-20T04:52:02Z
dc.date.available	2019-03-20T04:52:02Z
dc.date.awarded	n.d.
dc.date.completed	2017
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Data not available
dc.format.accompanyingmaterial	None
dc.format.dimensions	30cm.
dc.format.extent	xxii, 135p.
dc.identifier.uri	http://hdl.handle.net/10603/233002
dc.language	Others
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	126-134
dc.rights	university
dc.source.university	University
dc.subject.keyword	Deeplearning
dc.subject.keyword	Haralick
dc.subject.keyword	Neuralnetwork
dc.subject.keyword	Reconstruction
dc.subject.keyword	Textureanalysis
dc.title	Anomaly detection in video surveillance using artificial neural network with diverse features
dc.title.alternative
dc.type.degree	Ph.D.