Pose classification of car occupant using stereovision and support vector machines

被引：0
|
作者：
Jang, MS [1 ]
Kim, YG
Lee, HG
Lee, BJ
Lee, SJ
Park, GT
机构：
[1] Korea Univ, Dept Elect Engn, Seoul, South Korea
[2] Sejong Univ, Sch Comp Engn, Seoul, South Korea
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS | 2004年 / 3215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：
Airbag in the cars plays an important role for the safety of occupants. However, Highway traffic safety report shows that many occupants are actually killed by wrong deployment of the airbags. For reducing risk caused by airbag, designing a smart airbag is an important issue. The present study describes an occupants' pose classification system, by which triggering and intensity of the airbag deployment can be controlled. The system consists of a pair of stereo cameras and a SVM classifier. Performance of the system shows its feasibility as a vision-based airbag controller.
引用
收藏
页码：196 / 202
页数：7
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