Night-time Pedestrian Detection by Visual-Infrared Video Fusion

被引：14

作者：

Chen, Yuxi ^{[1
]}

Han, Chongzhao ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Inst Synthet Automat, Xian 710049, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

machine vision; video surveillance; video fusion; video denoising;

D O I：

10.1109/WCICA.2008.4593753

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A method of night-time pedestrian detection by fusion of visual and infrared video was proposed. At first, infrared video is denoised by spatio-temporal filtering, then bright regions which corresponding to high temperature regions in infrared video frames are segmented by seeded region growing algorithm, then pedestrian are detected by fusion of region-color and region-shape information, at last, infrared video and visual video are fused to enhance detection result. Results show that combination of CCD and IR camera sensors can help to solve night-time surveillance problem.

引用

页码：5079 / 5084

页数：6

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