Implementing Camshift on a mobile robot for person tracking and pursuit

Somar Boubou, Asuki Kouno, Einoshin Suzuki

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

5 Citations (Scopus)

Abstract

In this paper we describe a Camshift implementation on mobile robotic system for tracking and pursuing a moving person with a monocular camera. Camshift algorithm uses color distribution information to track moving object. It is computationally efficient for working in real-time applications and robust to image noise. It can deal well with illumination changes, shadows and irregular objects motion (linear/non-linear). We compared the Camshift with a HSV color based tracking and our results show that the Camshift method out-performed the HSV color based tracking. Moreover, the former method is much more robust against different illumination conditions.

Original languageEnglish
Title of host publicationProceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
Pages682-688
Number of pages7
DOIs
Publication statusPublished - Dec 1 2011
Event11th IEEE International Conference on Data Mining Workshops, ICDMW 2011 - Vancouver, BC, Canada
Duration: Dec 11 2011Dec 11 2011

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Other

Other11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
CountryCanada
CityVancouver, BC
Period12/11/1112/11/11

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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