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Research on the detection and tracking technology of moving object in video images

机译:视频图像中运动物体的检测与跟踪技术研究

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For accurately detecting and tracking the moving object in the fixed scene, a new algorithm is proposed in the paper. The initial moving region is detected by the inter frame difference method. The accurate moving object is segmented using the background difference method. The tracking features for tracking are extracted based on the segmented object. The moving object is tracked by the mean-shift method. And in order to for accurately tracking the moving object accurately, the background image rebuilt and the tracking feature is corrected real-timely is real-timely rebuilt and tracking feature is real-timely corrected. The effectiveness of the algorithm is verified to be effective through the experiments.
机译:为了准确地检测和跟踪固定场景中的运动物体,提出了一种新的算法。初始移动区域通过帧间差分方法检测。使用背景差异方法对准确的运动对象进行分割。基于分割的对象提取用于跟踪的跟踪特征。通过均值漂移方法跟踪运动对象。并且为了准确准确地跟踪运动对象,对背景图像进行了重建,并实时对跟踪特征进行了实时校正,并对跟踪特征进行了实时校正。通过实验验证了该算法的有效性。

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