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REAL-TIME DYNAMIC CONTENT BASED VEHICLE TRACKING, TRAFFIC MONITORING, AND CLASSIFICATION SYSTEM

机译:基于实时动态内容的车辆跟踪,交通监控和分类系统

摘要

A method of monitoring and classifying vehicle traffic (figure 14) comprises Eceiving a plurality of video frames of traffic (item 100) data; subtracting a background image from each video frame of the plurality to form a segmented image having at least one object region (item 108); connecting adjacent object regions in each segmented image into a combined region in response to the adjacent object regions having centers in a common lane region of the video frame, distances between the centers less than a threshold distance, and a similar characteristic in proximate boundary portions (item 110); separating object regions in each segmented image that are located in multiple lane regions of the segmented image into sub-regions Corresponding to the lane regions (item 1 14); subtracting sub- regions from the segmented image that are smallerthan a threshold size (item 1 18); and labeling the combined regions and the remaining sub-regions as single vehicle regions (item 124).
机译:一种监视和分类车辆交通的方法(图14)包括:接收交通视频数据的多个视频帧(项目100);从多个视频帧的每个视频帧中减去背景图像,以形成具有至少一个对象区域的分割图像(项目108);响应于具有在视频帧的公共通道区域中的中心,中心之间的距离小于阈值距离以及在相邻边界部分具有相似特性的相邻对象区域,将每个分割图像中的相邻对象区域连接到组合区域中(项目110);将每个分割图像中位于分割图像的多个车道区域中的对象区域分离为与该车道区域相对应的子区域(项目1 14);从分割的图像中减去小于阈值大小的子区域(项目1 18);并将组合的区域和其余子区域标记为单个车辆区域(项目124)。

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