Proficient Approaches for Human Action Recognition and Prediction in Surveillance Videos

dc.contributor.guideVadivu, G
dc.coverage.spatial
dc.creator.researcherPoonkodi, M
dc.date.accessioned2022-07-04T06:32:13Z
dc.date.available2022-07-04T06:32:13Z
dc.date.awarded
dc.date.completed2022
dc.date.registered
dc.description.abstractComputer Vision is playing a remarkable role right from essentials to newlineentertainment and thus trying to turn computer as a seeing machine. Though Computer newlinevision has widespread applications in most of the real world domains like healthcare, newlinesurveillance, space and social media, it is still not able to efficiently and effectively address newlinethe challenge of matching human intelligence in understanding the underlying context. newlineIntelligent video classification and prediction is a fundamental step towards effective newlineretrieval system. A huge volume of video is available for navigation. Managing such videos newlineand prediction of the activity before its completion gains importance in video surveillance, newlinehuman computer recognition, gesture recognition etc newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/390658
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science Engineering
dc.publisher.placeKattankulathur
dc.publisher.universitySRM Institute of Science and Technology
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Hardware and Architecture
dc.subject.keywordEngineering and Technology
dc.titleProficient Approaches for Human Action Recognition and Prediction in Surveillance Videos
dc.title.alternative
dc.type.degreePh.D.

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