Human Activity Recognition in Video Surveillance – A Survey
Shravani Shirish Urankar · International Journal for Research in Applied Science and Engineering Technology · 2020
The act of detection of the activity of humans has gained traction nowadays and is a hot field for research and development. The ability of human activity detection (HAR) is a key prospect of development in fields of human-computer interface, computer vision and in mass video surveillance in public areas such as train stations, ATM machines, schools and colleges and at traffic signals on streets. HAR offers a cost-effective method for surveillance. Analysis based on methods used for classification for different datasets is presented in this survey paper.