• Dharmendrakumar Viradiya

Detecting human beings perfectly in a visual surveillance system is crucial for diverse application areas including abnormal event detection, human gait characterization, person identification, gender classification and fall detection for elderly people. The first step of the detection process is to detect an object which is in motion. Object detection is used three method: background subtraction, optical flow and spatio-temporal filtering techniques. Once detected, a moving object could be classified as a human being using shape-based, texture-based and motion-based features.

Background subtraction, Motion based, Optical flow, Shape based, Spatio-temporal filtering, Texture based

"A survey on human detection for video surveillance system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 1, page no.154-157, January-2015, Available :http://www.jetir.org/papers/JETIR1501026.pdf

"A survey on human detection for video surveillance system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 1, page no. pp154-157, January-2015, Available at : http://www.jetir.org/papers/JETIR1501026.pdf