The detection and tracking algorithm of video motion objects is one of hotspots in the field of computer vision. It's also the key intelligent technology of video surveillance system.
视频运动目标检测与跟踪算法是计算机视觉领域的一个核心课题，也是智能视频监控系统的关键底层技术。
Edge detection and tracking algorithm for image are used to process and analyze the acquired digital image of arthrosis.
采用图像边缘检测和图像跟踪算法对获得的关节数字图像进行了图像处理和分析。
Experimental results show that the proposed moving objects detection and tracking algorithm works well in not only infrared image sequences but also visual ones.
实验结果证明了本文采用的运动目标检测与跟踪算法的有效性，此外该算法具有良好的通用性，用于可见光图像序列也能收到好的效果。
Experimental results show that the lane detection and the moving object detection and tracking algorithm in this paper are robust, efficient and suitable for real-time processing.
实验结果表明，本文提出的车道检测和车辆识别与跟踪方法是可行的，能够满足系统实时性和准确性的要求。
Experimental results show that the lane detection and the moving object detection and tracking algorithm in this paper are robust, efficient and suitable for real-time processing.
实验结果表明，本文提出的车道检测和车辆识别与跟踪方法是可行的，能够满足系统实时性和准确性的要求。
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