Multiple people tracking using an appearance model based on temporal color

Hyung Ki Roh, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We present a method for the detection and tracking of multiple people totally occluded or out of sight in a scene for some period of time in image sequences. Our approach is to use time weighted color information, i.e., the temporal color, for robust medium-term people tracking. It assures our system to continuously track people moving in a group with occlusion. Experimental results show that the temporal color is more stable than shape or intensity when used in various cases.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages369-378
Number of pages10
Volume1811
ISBN (Print)3540675604, 9783540675600
DOIs
Publication statusPublished - 2000
Event1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 - Seoul, Korea, Republic of
Duration: 2000 May 152000 May 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1811
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000
Country/TerritoryKorea, Republic of
CitySeoul
Period00/5/1500/5/17

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint

Dive into the research topics of 'Multiple people tracking using an appearance model based on temporal color'. Together they form a unique fingerprint.

Cite this