Pedestrian detection based on multi-modal cooperation

Yan Ning Zhang, Xiao Min Tong, Xiu Wei Zhang, Jiang Bin Zheng, Jun Zhou, Si Wei You

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Pedestrian detection plays an important role in automated surveillance system. However, it is challenging to detect pedestrian robustly and accurately in a cluttered environment. In this paper, we propose a new cooperative pedestrian detection method using both colour and thermal image sequences, which is compared with the method using only colour image sequence and that using multi-modal fusion. Experiment results show that our cooperative detection mechanism could get more accurate pedestrian areas, a lower false alarm rate and a higher detection precision. Therefore, it has broad application prospects in the field of industry and military.

Original languageEnglish
Title of host publicationProceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Pages148-152
Number of pages5
DOIs
StatePublished - 2008
Event2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 - Cairns, QLD, Australia
Duration: 8 Oct 200810 Oct 2008

Publication series

NameProceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008

Conference

Conference2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Country/TerritoryAustralia
CityCairns, QLD
Period8/10/0810/10/08

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