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The computer vision system based on dynamic scene analysis has been a key research problem recently, especial for the movement parameters of the moving objects. 基于动态场景分析的计算机视觉系统尤其是对运动目标的运动参数测量已成为计算机视觉研究的热点;
The derived scene representation obtained finds applications in various domains. For instance, it is very well suited for dynamic scene analysis where a deep scene understanding is required. 这种方法可用于有关场景描述的各种应用领域中,如在机器视觉的研究中,对动态场景进行分析与理解;
Video surveillance just use image process and computer vision detection technology, through for surveillance video recording automatically and timely analyzing, get target location, recognition and tracking in dynamic scene, and analysis and judge target behavior on this foundation. 视频监控就是要用图象处理和计算机视觉检测技术,通过对监控录像进行自动和实时分析来对动态场景中的目标进行定位,识别和跟踪,并在此基础上分析和判断目标的行为。
Motion segmentation for dynamic scene, as a vital research direction in computer vision, has a wide range of applications in image retrieval, image classification, motion analysis and interpretation of dynamic scene. 动态场景运动分割作为计算机视觉领域的一个重要研究方向,在图像检索、图像分类、运动分析及场景解释中均有广泛的应用。
Because shadow point always misjudges as objective point in motion segmentation and object detection, it is crucial to detect moving shadow in dynamic scene analysis. 对于运动阴影的检测在动态场景分析系统中是至关重要的,因为在运动分割和目标检测中,阴影点经常会被误认为是目标点。