Pedestrian detection for driver assistance using multiresolution infrared vision

被引：86

作者：

Bertozzi, M ^{[1
]}

Broggi, A

Fascioli, A

Graf, T

Meinecke, MM

机构：

[1] Univ Parma, Dipartimento Ingn Informaz, I-43100 Parma, Italy

[2] Volkswagen AG, Elect Res, D-38436 Wolfsburg, Germany

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2004年 / 53卷 / 06期

关键词：

infrared imagery; machine vision; multiresolution; pedestrian detection;

D O I：

10.1109/TVT.2004.834878

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper describes a system for pedestrian detection in infrared images, which has been implemented on an experimental vehicle equipped with an infrared camera. The proposed system has been tested in many situations and has proven to be efficient and with a very low false-positive rate. It is based on a multiresolution localization of warm symmetrical objects with specific size and aspect ratio; anyway, because road infrastructures and other road participants may also have such characteristics, a set of matched filters is included in order to reduce false detections. A final validation process, based on human shape's morphological characteristics, is used to build the list of pedestrian appearing in the scene. Neither temporal correlation nor motion cues are used in this first part of the project: the processing is based on the analysis of single frames only.

引用

页码：1666 / 1678

页数：13

共 14 条

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