Pedestrian detection using hybrid statistical feature

Qiang Wu, Chunhua Du, Jie Yang, Xiangjian He, Yan Chen

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

Abstract

A novel approach for walking people detection is proposed in this paper, which is inspired by the idea of Gait Energy Image (GEI). Unlike most of common human detection methods where usually a trained detector scans a single image and then generates a detection result, the proposed method detects people on a sequence of silhouettes which contain both appearance characteristics and motion characteristics. Thus, our method is more robust. Encouraging experimental results are obtained based on CASIA Gait Database and the additional nonhuman objects data.

Original languageEnglish
Title of host publicationProceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Pages101-106
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
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

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Signal Processing
  • Electrical and Electronic Engineering

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