Volume 50, Issue 3 (May 2005)

    The Mask Detection Technology for Occluded Face Analysis in the Surveillance System

    (Received 18 September 2004; accepted 8 January 2005)

    Published Online: April

    CODEN: JFSOAD

      Format Pages Price  
    PDF Version 9 $25   ADD TO CART


    Abstract

    The surveillance systems have been widely used in automatic teller machines (ATMs), banks, convenient stores, etc. For example, when a customer uses the ATM, the surveillance systems will record his/her face information. The information will help us understand and trace who withdrew money. However, when criminals use the ATM to withdraw illegal money, they usually block their faces with something (in Taiwan, criminals usually use safety helmets or masks to block their faces). That will degrade the purpose of the surveillance system. In previous work, we already proposed a technology for safety helmet detection. In this paper, we propose a mask detection technology based upon automatic face recognition methods. We use the Gabor filters to generate facial features and utilize geometric analysis algorithms for mask detection. The technology can give an early warning to save-guards when any “customer” or “intruder” blocks his/her face information with a mask. Besides, the technology can assist face detection in the automatic face recognition system. Experimental results show the performance and reliability of the proposed technology.


    Author Information:

    Lu, CP
    National Taiwan University of Science and Technology,

    Wen, CY
    Central Police University, Taoyuan,

    Chiu, SH
    National Taiwan University of Science and Technology,

    Tseng, YR
    National Taiwan University of Science and Technology,


    Stock #: JFS2004409

    ISSN: 0022-1198

    DOI: 10.1520/JFS2004409

    ASTM International
    is a member of CrossRef.

    Author
    Title The Mask Detection Technology for Occluded Face Analysis in the Surveillance System
    Symposium , 0000-00-00
    Committee E30