Real time color based particle filtering for object tracking with dual cache architecture

Particle filtering framework is widely used on tracking applications. In surveillance systems, it often combines with color information to achieve visual object tracking. However, the resource usage of this framework, including memory bandwidth and operation cycles, is very intensive to make a low cost real time object tracking unattainable. In this paper, an efficient architecture of color based particle filtering tracking with dual cache is proposed. It utilizes a frame cache to reduce memory bandwidth of loading frame data, and a histogram cache to reduce operation cycles when constructing color histogram. The experimental results show that this architecture can improve the performance to real time on a high system specification.