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

页码：7 / 12

页数：6

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