Head detection and tracking for the car occupant's pose recognition

被引：0
|
作者：
Lee, Jeong-Eom [1 ]
Kim, Yong-Guk
Kim, Sang-Jun
Jang, Min-Soo
Lee, Seok-Joo
Parks, Min Chul
Park, Gwi-Tae
机构：
[1] Korea Univ, Dept Elect Engn, Seoul 136701, South Korea
[2] Korea Univ, Interdisciplinary Program Mechatron, Seoul 136701, South Korea
[3] Sejong Univ, Sch Comp Engn, Seoul, South Korea
来源：
ADVANCES IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 4031卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a Vision-based Occupant Pose Recognition (VOPR) system, which can ensure a safe airbag deployment. Head detection and its tracking are necessary for occupant's pose recognition in the car, since the position of occupant's head provides valuable information, such as his pose, size, position, and so on. We use the stereo cameras to extract a disparity map. Against variable lighting conditions including the night drive, we adopt infrared illumination as well as normal one. Results suggest that VOPR system is reliable and performs reasonably well.
引用
收藏
页码：540 / 547
页数：8
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