• DocumentCode
    3582400
  • Title

    Human behavioral analytics system for video surveillance

  • Author

    Junn Min Pang ; Vooi Voon Yap ; Chit Siang Soh

  • Author_Institution
    Fac. of Eng. & Green Technol., Univ. Tunku Abdul Rahman, Kampar, Malaysia
  • fYear
    2014
  • Firstpage
    23
  • Lastpage
    28
  • Abstract
    Video surveillance system is an important system to monitor safety and security for public place. Unfortunately, most of them do not have additional. In this paper, we have proposed an algorithm for detect human aggressive behavior by using Microsoft Kinect sensor. In our proposed algorithm, Cartesian coordinate formula is used for calculate position of body joints detected by Microsoft Kinect sensor. By analysis position of body joints, we can differentiate whether it is a normal or aggressive behavior. Experiment results show that our proposed method has an average accuracy of 95.83% for punching pose, and almost perfectly detected for kicking and normal behavior.
  • Keywords
    image motion analysis; image sensors; pose estimation; video surveillance; Cartesian coordinate formula; Microsoft Kinect sensor; body joint position analysis; human aggressive behavior detection; human behavioral analytic system; kicking behavior; normal behavior; public place safety; public place security; punching pose; video surveillance; Accuracy; Cameras; Conferences; Control systems; Joints; Legged locomotion; Punching; Human basic behavior analysis; fall detection; human aggressive behavior analysis; kinect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-5685-2
  • Type

    conf

  • DOI
    10.1109/ICCSCE.2014.7072683
  • Filename
    7072683