STREAMING CLUSTERING ALGORITHMS FOR FOREGROUND DETECTION IN COLOR VIDEOS
Zoran Đurić, Wallace Lawson, Dana Richards · 2007
A new method is given for locating foreground objects in color videos.This is an essential task in many applications such as surveillance. The algorithm uses clustering techniques to permit flexibility and adaptability in the description of the background. The approach is an example of the streaming data paradigm of algorithms design, which only permits limited information to be retained about previous video frames. Experimental results show that it is an effective and robust technique.