Title :
A Real-time Detecting and Tracking Method for Moving Objects Based on Color Video
Author :
Li, Jianyu ; Li, Feng ; Zhang, Min
Author_Institution :
Dept. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., Zhenjiang, China
Abstract :
In this paper, a new background modeling method using Gaussian mixture model based on Bayer color filter array is proposed. It improves the efficiency of obtaining the prospect moving objects in the color video. Besides, it is proposed a method that can track the multi-moving objects using the combination of Camshift and Kalman filter based on the prospect image. Take actual moving objects detection and tracking as examples, this algorithm has advantages of quick speed and good accuracy. Meanwhile, it can realize multi-moving objects tracking and overcome occlusion problem in the process of tracking.
Keywords :
Gaussian processes; Kalman filters; computer graphics; image colour analysis; object detection; video signal processing; Bayer color filter array; Camshift filter; Gaussian mixture model; Kalman filter; background modeling method; color video; moving object detection method; moving object tracking method; occlusion problem; Computer graphics; Filters; Humans; Layout; Lighting; Object detection; Traffic control; Vehicles; Video sequences; Visualization; Bayer color filter array; Camshift algorithm; Gaussian mixture model; Kalman;
Conference_Titel :
Computer Graphics, Imaging and Visualization, 2009. CGIV '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3789-4
DOI :
10.1109/CGIV.2009.30
