Night-time pedestrian detection by visual-infrared video fusion

Author

Chen, Yuxi ; Han, Chongzhao

fYear

2008

fDate

25-27 June 2008

Firstpage

5079

Lastpage

5084

Abstract

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.

Keywords

filtering theory; image colour analysis; object detection; sensor fusion; video signal processing; video surveillance; CCD camera; IR camera sensors; infrared video frames; night-time pedestrian detection; night-time surveillance; region-color information; region-shape information; spatio-temporal filtering; video segmentation; visual video; visual-infrared video fusion; Charge coupled devices; Charge-coupled image sensors; Gaussian noise; Infrared detectors; Infrared image sensors; Noise reduction; Surveillance; Temperature sensors; Thermal sensors; Working environment noise; machine vision; video denoising; video fusion; video surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593753

Filename

4593753