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EFFICIENT VIDEO CODING IN REGION PREDICTION IN ONLINE VIDEO SURVEILLANCE

机译:在线视频监控中有效的区域编码视频编码

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There is a recent trend to implement video coding techniques for video surveillance. Various coding techniques had been proposed to enhance estimation accuracy in progressive video coding. As the conventional coding approaches have constraints to optimize image processing for moving bodies whilst the background is typically static. The problem magnifies in case of rotating cameras. The challenge in this case is to segregate the dynamic entities while the background rotates at a fixed pace. This paper presents an approach for the improvement of error free coding in video surveillance by employing rotating cameras. A least mean estimator approach is used and the recurrent full search motion estimator logic is defined for the prediction of foreground moving elements from the video sequence, which comes from a rotating sensor. The benefits that we derive from this method are more accurate detection of the actual moving object, thereby, reducing data redundancy by eliminating the nonessential background information.
机译:实施视频编码技术以进行视频监视的最新趋势。已经提出了各种编码技术来增强渐进视频编码中的估计精度。由于常规的编码方法具有约束,以优化运动物体的图像处理,而背景通常是静态的。在旋转相机的情况下,问题会更加严重。这种情况下的挑战是在背景以固定速度旋转的同时隔离动态实体。本文提出了一种通过使用旋转摄像机来改进视频监控中的无差错编码的方法。使用最小均值估计器方法,并定义循环全搜索运动估计器逻辑,以便根据来自旋转传感器的视频序列预测前景移动元素。我们从这种方法中获得的好处是可以更准确地检测实际的运动对象,从而通过消除不必要的背景信息来减少数据冗余。

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