• DocumentCode
    128474
  • Title

    Tracking system for mobile user based on CCTV

  • Author

    Yong-Ik Yoon ; Jee-Ae Chun

  • Author_Institution
    Dept. Multimedia Sci., SookMyung Women´s Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    10-12 Feb. 2014
  • Firstpage
    374
  • Lastpage
    378
  • Abstract
    The Closed Circuit Television (CCTV) systems have been used at large scale for tracking and getting popularity with every passing day. The most common goal of CCTV system is prevention of crime and disorder by tracking the objects. The smartphone world is also expanding at a rapid pace since the technology was first introduced. Most users of smartphones live in those countries where usage of CCTV system is part of daily life. This paper studies a tracking system for mobile users based on CCTV system, where information can be sent from mobile to server so that CCTV system can work more specifically and accurately by tracking and recognizing objects. A safety insurance approach is proposed, in which a user can inform his/her location for close observation via CCTV system if he/she feels a potential threat. In case of emergency, location, nature of problem and possible difficulties can be determined in comparatively less time by authorities as they have already monitoring the situation.
  • Keywords
    closed circuit television; object recognition; object tracking; smart phones; closed circuit television systems; crime prevention; mobile user based CCTV systems; mobile users; object recognization; object tracking system; safety insurance approach; server; smartphone; Cameras; Computer vision; Mobile communication; Motion segmentation; Sensors; Surveillance; Tracking; CCTV systems; Kalman filter; Observation; Recognizing objects; Smartphones; tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking (ICOIN), 2014 International Conference on
  • Conference_Location
    Phuket
  • Type

    conf

  • DOI
    10.1109/ICOIN.2014.6799708
  • Filename
    6799708