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System design for moving target tracking based on mean-shift algorithm

机译:基于平均换档算法的移动目标跟踪系统设计

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This paper designs a moving target tracking system. Firstly, on the aspect of hardware, a moving target tracking platform is designed, which consists of visible CCD camera, servo PTZ, FPGA control card and PC. The platform can achieve target image acquisition, image transmission, PTZ control and algorithm processing. Secondly, on the aspect of algorithm, aiming at the deficiency of the Mean Shift (MS) algorithm in poor anti-background interference ability, a target modeling method is proposed. The method fuses HSV color feature and edge orientation feature for Mean-Shift iteration. Then the improved algorithm is tested on the DAPRA Egtest01 test sets. Experiment results show that the improved algorithm is good at tracking target whose color is similar to the background color. Finally, the improved algorithm is implemented on the hardware platform. The real-time automatic tracking experiment shows that the system can obtain a satisfied tracking target result.
机译:本文设计了一个移动的目标跟踪系统。首先,在硬件的方面,设计了一个移动的目标跟踪平台,由可见CCD相机,伺服PTZ,FPGA控制卡和PC组成。该平台可以实现目标图像采集,图像传输,PTZ控制和算法处理。其次,在算法的方面,旨在缺乏平均移位(MS)算法在抗背景干扰能力差,提出了一个目标建模方法。该方法熔断HSV彩色特征和边缘方向特征,用于平均频率迭代。然后在DAPRE EGTEST01测试集上测试改进的算法。实验结果表明,改进的算法擅长跟踪目标,其颜色类似于背景颜色。最后,改进的算法在硬件平台上实现。实时自动跟踪实验表明系统可以获得满意的跟踪目标结果。

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