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 systems 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.
target track corner detect optic flow register high speed hardware system
Hua-jun SONG Quan LI
College of Information and Control Engineering, China University of Petroleum (East China) Dongying, China
国际会议
2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)
青岛
英文
283-286
2009-11-21（万方平台首次上网日期，不代表论文的发表时间）