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Research and Design of Moving Target Detection and Tracking System Based on Web Server

机译:基于Web服务器的移动目标检测和跟踪系统的研究与设计

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We present an algorithm to improve the detection and tracking of moving target. Combined with the ORB feature detection operator, the center of the target is estimated, and a kind of anti-shadow interference and good matching target detection algorithm is designed. Combined the adaptive filter, a motion object tracking algorithm that resists background color interference and resists short-term occlusion is designed. This paper implements target tracking on embedded ARM-Linux system, completes the design of image acquisition module, image preprocessing design, transplantation of moving target detection and tracking algorithm, and design of video transmission module based on RTP protocol. Finally, web client is designed to view the system’s tracking effect. The experimental results show that the system algorithm has a certain ability of anti-illumination and background color interference, and it has adaptability to the short-term occlusion of the target and improves the algorithm detection accuracy, increasing processing time accordingly, decreasing tracking error, with good real-time and accuracy.
机译:我们提出了一种改善移动目标的检测和跟踪的算法。结合ORB特征检测操作员,估计目标的中心,设计了一种防阴影干扰和良好的匹配目标检测算法。组合自适应滤波器,设计了抵抗背景颜色干扰和抵抗短期遮挡的运动对象跟踪算法。本文实现了嵌入式ARM-Linux系统上的目标跟踪,完成了图像采集模块的设计,图像预处理设计,移动目标检测和跟踪算法的移植,以及基于RTP协议的视频传输模块的设计。最后,Web客户端旨在查看系统的跟踪效果。实验结果表明,该系统算法具有一定的抗照明和背景颜色干扰能力,并且它可以适应目标的短期闭塞并提高算法检测精度,相应地增加处理时间,降低跟踪误差,具有良好的实时和准确性。

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