A Practical Target Tracking System Design

A good target tracking system depends on not only the algorithm, but also system hardware design. Speed and accuracy are two important evaluations indicators in target tracking system. This paper uses Harris algorithm to extract little part of target corner features which can improve this system's speed. Then, it uses optic flow method which has high matching accuracy to match those extracted corner features in the following video frames. Bary algorithm is used to compute the bary of those matched feature points as displacement of target. According to property of this algorithm, the author also designs a high performance mini hardware system which can be mounted in aircraft or camera. This hardware design is constructed mainly by DSP as the core processor and FPGA as logical controller. The main part of algorithm is run in high speed DSP and preprocessing algorithm is run in FPGA which has the property of parallel computing. It is proved by experiments that the designed system has not only high speed and tracking accuracy but also higher robustness to target rotation, transformation, shelter etc.