Particle Filtering Object Tracking Based on Texture and Color

Object tracking based on color feature often fails in a complex background. To deal with this problem, a particle filtering object tracking approach is proposed in this paper based on local binary pattern and color feature. Color histogram is the global description of targets in color image, while local binary pattern texture contains information of neighbor region texture in gray image. These two features may complement each other, thus target is represented by both histogram of color and local binary pattern which are combined under the frame of particle filtering. The experimental results show that the proposed method effectively improves the accuracy and robustness of tracking.