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
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
收藏
页码:7 / 12
页数:6
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