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EFFICIENT VIDEO CODING IN REGION PREDICTION IN ONLINE VIDEO SURVEILLANCE

机译:在线视频监控中区域预测中的高效视频编码

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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:最近实现视频监控视频编码技术的趋势。已经提出了各种编码技术来提高渐进式视频编码中的估计精度。由于传统的编码方法具有优化移动体的图像处理,而背景技术通常是静态的。在旋转相机的情况下,问题放大。在这种情况下,挑战是在背景以固定的速度旋转时分离动态实体。本文通过采用旋转摄像机,提出了一种改进视频监控中的无错误编码的方法。使用最小均值估计方法,并且定义复发完全搜索运动估计器逻辑,用于预测来自来自旋转传感器的视频序列的前景移动元件。我们从该方法获得的好处是更准确地检测实际移动物体,从而通过消除非属性背景信息来降低数据冗余。

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