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
收藏
页码：5079 / 5084
页数：6
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