A New Method for Video Object Tracking


Authors

Saeid Bagheri-Golzar - Dept. of Elec., Comp. & IT, Qazvin Islamic Azad University, Qazvin, Iran Fariba Karami-sorkhechaghaei - Dept. of Elec., Comp. & IT, Qazvin Islamic Azad University, Qazvin, Iran Amir-Masud Eftekhari-Moghadam - Dept. of Elec., Comp. & IT, Qazvin Islamic Azad University, Qazvin, Iran


Abstract

In this paper, a new video moving object tracking method is proposed. In initialization, a moving object selected by the user is segmented and the dominant color is extracted from the segmented target. In tracking step, a motion model is constructed to set the system model of adaptive Kalman filter firstly. Then, the dominant color of the moving object in HSI color space will be used as feature to detect the moving object in the consecutive video frames. The detected result is fed back as the measurement of adaptive Kalman filter and the estimate parameters of adaptive Kalman filter are adjusted by occlusion ratio adaptively. The proposed method has the robust ability to track the moving object in the consecutive frames under some kinds of real-world complex situations such as the moving object disappearing totally or partially due to occlusion by other ones, fast moving object, changing lighting, changing the direction and orientation of the moving object, and changing the velocity of moving object suddenly. The proposed method is an efficient video object tracking algorithm.


Share and Cite

  • Share on Facebook
  • Share on Twitter
  • Share on LinkedIn
ISRP Style

Saeid Bagheri-Golzar, Fariba Karami-sorkhechaghaei, Amir-Masud Eftekhari-Moghadam, A New Method for Video Object Tracking, Journal of Mathematics and Computer Science, 4 (2012), no. 2, 120--128

AMA Style

Bagheri-Golzar Saeid, Karami-sorkhechaghaei Fariba, Eftekhari-Moghadam Amir-Masud, A New Method for Video Object Tracking. J Math Comput SCI-JM. (2012); 4(2):120--128

Chicago/Turabian Style

Bagheri-Golzar, Saeid, Karami-sorkhechaghaei, Fariba, Eftekhari-Moghadam, Amir-Masud. "A New Method for Video Object Tracking." Journal of Mathematics and Computer Science, 4, no. 2 (2012): 120--128


Keywords


MSC


References