• DocumentCode
    2269731
  • Title

    A network intelligent video analysis system based on multimedia DSP

  • Author

    Wang, Qi ; Guan, Qing ; Xu, Sheng ; Tan, Fang

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2010
  • fDate
    28-30 July 2010
  • Firstpage
    363
  • Lastpage
    367
  • Abstract
    In this paper, we designed a hardware and software system using TI´s new multimedia technology, Davinci based on multimedia DSP. The objective is to develop a practical Internet based intelligent video analysis product. This system can perform real-time processing of the video data from IP camera. And at the same time, it executes intelligent video analysis algorithms, provides users quick, accurate and intelligent video analysis service. In this system, we implement a multiple objects tracking approach for objects labeling being able to preserve objects identity even when an overlapping occurs on the image plane between different objects. And we use histogram matching techniques for real-time objects tracking under heavy occlusions and disappearance. We also compare our improved method with another objects tracking algorithm based on Mean Shift and Kalman filter. Experimental results show that the system is stable and fits real-time requirement, and the performance of our method is better.
  • Keywords
    Internet; image sensors; multimedia computing; object detection; video signal processing; Davinci; IP camera; Internet; Kalman filter; TI; histogram matching techniques; image plane; mean shift; multimedia DSP; multiple objects tracking approach; network intelligent video analysis system; objects labeling; Chaotic communication; Computational modeling; Educational institutions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems (ICCCAS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8224-5
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2010.5581979
  • Filename
    5581979