Robust occupancy detection from stereo images

被引:0
|
作者
Alefs, B [1 ]
Clabian, M [1 ]
Bischof, H [1 ]
Kropatsch, W [1 ]
Khairallah, F [1 ]
机构
[1] Adv Comp Vis GmbH ACV, A-1220 Vienna, Austria
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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
Vehicle occupants that are out-of-position can be deadly injured by the deployment of the air bag in a crash situation. In recent years many different sensors and systems have been proposed to detect the type of occupant and the position of the occupant's head. This paper presents a method for classification and occupant's head detection based on passive stereo vision. The proposed system uses depth surface analysis and scene statistics together with support vector machines for classification and selection of head candidates. Evaluation of the method shows 99% correct for classification and 98% correct for head detection, using large sets of image data, and image sequences recorded in a driving vehicle.
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页码:1 / 6
页数:6
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