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Moving Region Detection in Compressed Video

机译:压缩视频中的运动区域检测

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摘要

In this paper, an algorithm for moving region detection in compressed video is developed. It is assumed that the video can be compressed either using the Discrete Cosine Transform (DCT) or the Wavelet Transform (WT). The method estimates the WT of the background scene from the WTs of the past image frames of the video. The WT of the current image is compared with the WT of the background and the moving objects are determined from the difference. The algorithm does not perform inverse WT to obtain the actual pixels of the current image nor the estimated background. In the case of DCT compressed video, the DC values of 8 by 8 image blocks of Y, U and V channels are used for estimating the background scens. This leads to a computationally efficient method and a system compared to the existing motion detection methods.
机译:本文提出了一种压缩视频运动区域检测算法。假定可以使用离散余弦变换(DCT)或小波变换(WT)压缩视频。该方法从视频的过去图像帧的WT估计背景场景的WT。将当前图像的WT与背景的WT进行比较,并根据差异确定运动对象。该算法不执行逆WT来获取当前图像的实际像素或估计的背景。在DCT压缩视频的情况下,Y,U和V通道的8 x 8图像块的DC值用于估计背景场景。与现有的运动检测方法相比,这导致了计算有效的方法和系统。

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