Human Detection in Video Surveillance

Sushama Khanvilkar, Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Santosh Gupta, Hinal Rane, Calvin Galbaw, Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India
2021 International Journal of Applied Sciences and Smart Technologies  
Recognition of the human activities in videos has gathered numerous demands in various applications of computer vision like Ambient Assisted Living, intelligent surveillance, Human-Computer interaction. One of the most pioneering techniques for Human Detection in Video Surveillance based on deep learning and this project mainly focuses on various approaches based on that. This paper provides an idea of solution to use video surveillance more effectively, by detecting any humans present and
more » ... ying the concerned people. The deep learning model, preferred for fast computation, Convolution Neural Network is used by stacking 3 blocks of layers on fully connected layers. This provided an identification of humans and naïve approach to eliminate inanimate human like objects such as mannequins.
doi:10.24071/ijasst.v3i1.2747 fatcat:wkblvipcz5au5a2rkdskp2rkt4