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

    Fingerprint

    Dive into the research topics of 'Real-time human tracking using fusion sensor for home security robot'. Together they form a unique fingerprint.

    Cite this