文件名称:1756456
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设计了一种基于TMS320C6455与FPGA 的实时图像跟踪系统,该系统首先采用MAX9526 采集图像,利用FPGA 对图像进行均值滤波,滤波后数据采用乒乓方式传输给DSP。Mean Shift 跟踪算法采用图像像素灰度距离中心点的距离作
为目标特征建立核函数,实现对目标的实时跟踪。实验表明,该系统具有良好的实时性与稳定性。-Designed a real-time image-based tracking system TMS320C6455 and FPGA, the system first uses MAX9526 capture images, the use of FPGA mean the image filtering, the filtered data is transmitted ping-pong approach to DSP. Mean Shift tracking algorithm uses the distance from the center of the image pixel gray as the target feature to build a nuclear function, to achieve the goal of real-time tracking. Experiments show that the system has good real-time performance and stability.
为目标特征建立核函数,实现对目标的实时跟踪。实验表明,该系统具有良好的实时性与稳定性。-Designed a real-time image-based tracking system TMS320C6455 and FPGA, the system first uses MAX9526 capture images, the use of FPGA mean the image filtering, the filtered data is transmitted ping-pong approach to DSP. Mean Shift tracking algorithm uses the distance from the center of the image pixel gray as the target feature to build a nuclear function, to achieve the goal of real-time tracking. Experiments show that the system has good real-time performance and stability.
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基于Meanshift算法的实时目标跟踪系统_原银忠.pdf
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