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System Design for Moving Target Tracking based on Mean-Shift Algorithm

机译:基于均值漂移算法的运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:本文设计了一种运动目标跟踪系统。首先,在硬件方面,设计了一个运动目标跟踪平台,该平台由可见CCD摄像机,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,云台控制和算法处理。其次,在算法方面,针对均值漂移算法在抗背景干扰能力差方面的不足,提出了一种目标建模方法。该方法融合了HSV颜色特征和边缘方向特征,以进行均值平移迭代。然后在DAPRA Egtest01测试集上测试改进的算法。实验结果表明,改进算法能很好地跟踪颜色与背景颜色相似的目标。最后,在硬件平台上实现了改进算法。实时自动跟踪实验表明,该系统可以获得满意的跟踪目标结果。

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