Background Subtraction Techniques for Human body segmentation in Indoor video surveillance
Karuppanan Srinivasan, Karantharaj Porkumaran, G. Sainarayanan · 2014
Computer based automated monitoring and detection of human movements is an interesting and important research problem in the video based applications. The segmentation of human body plays a vital role in the analysis of human activities from the indoor video sequences. The threshold value which uses to separate the human body from the background of video frame. The aim of this paper is to develop an approach for segmenting the human body using background subtraction techniques. This proposed algorithm uses Automatic Threshold Update (ATU) and Discrete Wavelet Transform (DWT) approaches for extracting the human body. It is implemented and tested on uniform light and bright light videos.