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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 |