TRACKING AND COUNTING HUMAN IN VISUAL SURVEILLANCE SYSTEM
Kavita P. Mahajan, Shankargoud Patil · 2012
The moving object detection is one of the challenging problems in the visual surveillance system, especially when illumination changes and shadow exists. The proposed system first separates the frames in a video. Then background subtraction method is used for moving object detection. This method can be used on gray scale image format as well as on binary image format. Human detection process is carried out on both the formats and the format with best result is carried further for tracking and counting the humans present in a video. After detection of objects, the feature extraction is performed to get more knowledge about the objects. Then tracking of objects is performed according to their size. Finally counting of humans is performed to get the total number of people in a video. The accuracy of detection obtained with this system is up to 100%. Further this system requires very less time to track and count the objects in the video.