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

fYear

2009

fDate

11-14 Aug. 2009

Firstpage

317

Lastpage

322

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics, Imaging and Visualization, 2009. CGIV '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3789-4

Type

conf

DOI

10.1109/CGIV.2009.30

Filename

5298842