Real-time human tracking using fusion sensor for home security robot

June Young Jung, Byoung Kyu Dan, Kwang Ho An, Seung Won Jung, Sung Jea Ko

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

5 Citations (Scopus)

Abstract

In this paper, we introduce a new human tracking system based on the fusion sensor consisting of the vision sensor and the depth sensor. Conventional tracking systems utilize either the vision or depth data. However, conventional systems are sensitive to illumination changes and often fail to track people in cluttered and crowded environments. To solve these problems, we propose a method of combining the data from both the vision and depth sensors. The proposed system tracks people using the conventional on-line boosting algorithm but the search range of tracking is significantly reduced by exploiting the depth data. Experimental results demonstrate that the proposed technique can robustly track people in real-time.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Pages420-421
Number of pages2
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Consumer Electronics, ICCE 2012 - Las Vegas, NV, United States
Duration: 2012 Jan 132012 Jan 16

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Other

Other2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Country/TerritoryUnited States
CityLas Vegas, NV
Period12/1/1312/1/16

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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