Human Activity Recognition in Videos

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dc.contributor.author Syed Waqar Ali, 01-134141-125
dc.contributor.author M. Yousaf Saqib, 01-134141-095
dc.date.accessioned 2018-05-15T04:09:44Z
dc.date.available 2018-05-15T04:09:44Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/123456789/6300
dc.description Supervised by Dr. Imran Siddiqi en_US
dc.description.abstract Security and surveillance have gained significant importance during the last decade. There has been an increasing trend towards the installation of surveillance cameras at public places including airports, bus stations, shopping centers and important roads. These cameras send live feed to a control room where the videos are continuously monitored by human operators. With the advancements in different areas of computer vision, attempts have been made to develop automatic surveillance systems capable of recognizing different activities. Research on these automatic surveillance systems, however, is still in its early days as computerized recognition of human actions is a complex and challenging problem. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-01239
dc.subject Computer Sciences. en_US
dc.title Human Activity Recognition in Videos en_US
dc.type Project Reports en_US


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