A fast and energy efficient FPGA-based system for real-time object tracking

Visual object tracking has achieved great advances in the past decades and has been widely applied in vision-based applications. Due to the popularization of the power-sensitive mobile platform, robust and low power real-time tracking solution is strongly required. An energy efficient real-time object tracking system on both static and moving camera is proposed in this paper. The system reduces the computational cost and explores data reuse by optimizing the tracking algorithm, the data flow, and the parallelism strategies. The architecture is implemented on a Xilinx ZC706 FPGA, and the experimental data shows that the system obtains 41 frame/s throughput for the 640x480 video and achieves higher energy efficiency comparing to other similar works.