Motion based pedestrian recognition

Yan Chen, Qiang Wu, Xiangjian He

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

6 Citations (Scopus)

Abstract

This paper proposed a method for discriminating pedestrians from rigid objects in a video. The method is a motion-based recognition of moving objects. This method is motivated by the assumptions that human beings are non-rigid and their movements are periodic. Moving objects and their skeletons are extracted. The motion cue is determined by the angle formed by the centroid point and the two bottom end points at object's skeleton. The histogram of the cue over a time period is used to determine if the object is pedestrian or not. This cue does not require any pre-built models. Neither does it need Fourier Transform to obtain the cycle of the objects. The proposed method is computation inexpensive, and it can be used for real-time video surveillance.

Original languageEnglish
Title of host publicationProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Pages376-380
Number of pages5
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event1st International Congress on Image and Signal Processing, CISP 2008 - Sanya, Hainan, China
Duration: 27 May 200830 May 2008

Publication series

NameProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Volume2

Conference

Conference1st International Congress on Image and Signal Processing, CISP 2008
Country/TerritoryChina
CitySanya, Hainan
Period27/05/0830/05/08

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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