Title :
Probabilistic method of real-time person detection using color image sequences
Author :
Uchida, Kyousuke ; Shirai, Yoshiaki ; Shimada, Nobutaka
Author_Institution :
Dept. of Computer-Controlled Mech. Syst., Osaka Univ., Japan
Abstract :
Proposes a probabilistic method for detecting people in a corridor using a sequence of color images. In a learning phase, the templates of people and the color properties of skins, a background without shadows, and a background with shadows of people are obtained. In a detection phase, the probabilities of the color of each pixel belonging to various objects are computed. Then templates of a person are placed at various image positions and the criterion of matching to a person is computed for each position. If a template is matched to a person, a more precise position of the person is determined near the matched position. We carry out an experiment using real image sequences to show the effectiveness of the method
Keywords :
image colour analysis; image motion analysis; image sequences; object detection; probability; color image sequences; color properties; corridor; learning phase; monitoring; probabilistic method; real-time person detection; shadows; skins; templates; visual surveillance; Color; Face detection; Layout; Mechanical systems; Monitoring; Object detection; Phase detection; Shape; Skin; Surveillance;
Conference_Titel :
Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-6612-3
DOI :
10.1109/IROS.2001.976364
