People Counting Using Hough Transform in Video Images

Hough 변환을 이용한 비디오 영상내 사람의 계수

Monitoring and analyzing people in video images are important and attract attention from many researchers in computer vision field. In this paper, we propose a new technique by which people overlapped one another in an image can be extracted and counted. After extracting moving people from video images as foreground, their heads are searched by Hough Transform inside the foreground. Since heads are comparatively stable in spite of motion in video images, semicircles along the head tops can be important features to be found in an edge map. In our experiment, the technique successfully separated people who existed at the same vertical positions, which was Impossible by existing techniques. Meanwhile, it showed high dependency on edge information and false results were obtained when the rather were rather incomplete.