基于FPGA的视频跟踪系统目标检测方法研究

Study of target detection methods in video tracking system

为了提高视频跟踪系统中目标检测的精度,提出了一种以FPCA为核心的目标检测方法。利用形态学对S0bel目标边缘检测的结果进行优化,在此基础上,改进新的目标检测算法弥补形态学优化存在的不足。FPcA实现结果表明,改进的目标检测方法可以实现任何阈值情况下目标边缘的深度优化,使得图像边缘更清晰、噪声更小。

In in order to improve object detection accuracy in video tracking system , a target detection scheme with FPGA as the core is proposed . It uses morphology method to improve the results of sobel target edge detection , and proposes a novel method for target detection to compensate the problem of morphology optimization . The experiment results on FPGA demonstrate that the proposed method can achieve depth optimization of target edge in any threshold case and make clearer image edge with lower noise .