Probabilistic method of real-time person detection using color image sequences

被引：0
作者：
Uchida, K [1 ]
Shirai, Y [1 ]
Shimada, N [1 ]
机构：
[1] Osaka Univ, Dept Comp Controlled Mech Syst, Suita, Osaka 5650871, Japan
来源：
IROS 2001: PROCEEDINGS OF THE 2001 IEEE/RJS INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4: EXPANDING THE SOCIETAL ROLE OF ROBOTICS IN THE NEXT MILLENNIUM | 2001年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper proposes a probabilistic method for detecting persons in a corridor using a sequence of color images. In a learning phase, the templates of persons and the color properties of person skins, a background without shadows, and a background with shadows of persons 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 position 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 make an experiment using real image sequences to show the effectiveness of the method.
引用
收藏
页码：1983 / 1988
页数：6
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