• DocumentCode
    1821802
  • Title

    An Intelligent Accessing Control System Based on Human Intention Analysis

  • Author

    Tseng, Teng-Hui ; Lai, Chin-Lun ; Hsieh, Sheng-Ta ; Chen, Jun-Horng

  • Author_Institution
    Commun. Eng. Dept., Oriental Inst. of Technol., Taipei, Taiwan
  • fYear
    2012
  • fDate
    4-7 Sept. 2012
  • Firstpage
    337
  • Lastpage
    341
  • Abstract
    An innovative automatic door control system is proposed in this paper to overcome the drawback of frequent false actions among the present devices while increasing their added values for security applications. Through human detection and trajectory tracking techniques, the proposed system can precisely identify those people with intention of entering or leaving the door, and then control opening and closing of this door as a response. The experimental results indicate that the proposed system has the advantages such as high precision, high reliability, and controllability in response to demands. In addition, the product prototype also has the economic benefits of low costs, high added-value, and other efficient properties.
  • Keywords
    access control; behavioural sciences; building management systems; controllability; doors; face recognition; intelligent control; object detection; automatic door control system; controllability; economic benefits; human detection; human intention analysis; intelligent accessing control system; people identification; reliability; security applications; trajectory tracking; Face; Face detection; Humans; Monitoring; Probability distribution; Trajectory; automatic accessing control system; human detection; intention analysis; path analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4673-3084-8
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2012.68
  • Filename
    6332017