运动目标检测与跟踪的DSP实现

DSP Realization of Detection and Tracking for Moving Objects

研究了运动目标检测与跟踪的DSP(Digital Signal Processor)实现算法,以形心跟踪算法为整个处理系统的核心。采用目标形心跟踪算法,通过目标分割阶段的目标标记,如目标面积、周长、形心位置等信息的提取建立目标跟踪波门,实现目标的连续跟踪,并将此算法移植到SEED—VPM642硬件平台,实验结果表明能够达到预定目标。此外,为了克服形心算法的准确性和实时性缺陷,采用粒子滤波对算法进行必要的扩展,从MATLAB的仿真结果看,除个别采样点存在误差较大的情况,真实值曲线与粒子滤波跟踪曲线拟合较好。

Study the DSP （Digital Signal Processor） algorithm for detecting and tracking moving target, with the centroid tracking algo- rithm as the core of the whole processing system. By marking the target segmentation stages,such as area,perimeter,centroid position in- formation extraction,the target centroid tracking algorithm can construct the target tracking gate to achieve the goal of continuous track- ing. Transplanting this target centroid tracking algorithm into the SEED-VPM642 hardware platform,the experimental results indicate that the predetermined target can be achieved. In addition, necessary expansion of the particle filter algorithm can be used to overcome the cen- troid algorithm accuracy and real-time defect. The MATLAB simulation results show that the true value curve fits for the particle filter tracking curve to much extent,except that a few sampling points differ much from the others.