A multi-resolution approach for infrared vision-based pedestrian detection

被引：0
|
作者：
Broggi, A [1 ]
Fascioli, A [1 ]
Carletti, M [1 ]
Graf, T [1 ]
Meinecke, M [1 ]
机构：
[1] Univ Parma, Dipartimento Ingn Informaz, I-43100 Parma, Italy
来源：
2004 IEEE INTELLIGENT VEHICLES SYMPOSIUM | 2004年
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 presents the improvements of a system for pedestrian detection in infrared images. The system is based on a multi-resolution localization of warm symmetrical objects with specific size and aspect ratio; the multi-resolution approach allows to detect both close and far pedestrians. A match against a set of 3D models encoding human shape's morphological and thermal characteristics is used as a validation process to remove false positives. No temporal correlation, nor motion cues are used for the processing that is based on the analysis of single frames only.
引用
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页码：7 / 12
页数：6
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