Multiple Human Tracking using Mean Shift and Depth Map with a Moving Stereo Camera
Kwangsoo Kim, Soo-Youn Hong, Sooyeong Kwak, Jung Ho Ahn, Hyeran Byun · Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong · 2007
In this paper, we propose multiple human tracking with an moving stereo camera. The tracking process is based on mean shift algorithm which is using color information of the target. Color based tracking approach is invariant to translation and rotation of the target but, it has several problems. Because of mean shift uses color distribution, it is sensitive to color distribution of background and targets. In order to solve this problem, we combine color and depth information of target. Also, we build human body part model to handle occlusions and we have created adaptive box scale. As a result, the proposed method is simple and efficient to track multiple humans in real time.