Background modeling using Local Binary Patterns Of Motion Vector

2012 Visual Communications and Image Processing Pub Date : 2012-11-01 DOI:10.1109/VCIP.2012.6410784

Tingting Wang, Jiuzhen Liang, Xiaolong Wang, Shizheng Wang

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引用次数: 6

Abstract

Pixel-domain analysis methods are widely adopted in background modeling, some of which are not only concerned by academia but also coming into view of industry. However, as the increasing data volume of video, how to process and analysis videos in a fast and effective way has still been an intractable problem in practical applications. Under this circumstance, surveillance video analysis in the compressed domain is indeed of strategic importance from the angle of balancing visual perception and processing speed, especially in modeling background and segmenting moving objects. Therefore, a background modeling method in the compressed domain is proposed to quickly extract moving objects in this paper. Our main contributions are: 1) a method to calculate MVLBP features based on MV amplitude in the compressed domain is presented; 2) a background modeling and moving objects extraction method is designed in the compressed domain based on Local Binary Patterns of Motion Vector (MVLBP). Experimental results show that our approach gives a stable performance in a shorter time in H.264 compressed domain.

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使用运动矢量局部二进制模式进行背景建模

像素域分析方法在背景建模中被广泛采用，其中一些方法不仅受到学术界的关注，也逐渐进入工业界的视野。然而，随着视频数据量的不断增加，如何快速有效地处理和分析视频仍然是实际应用中难以解决的问题。在这种情况下，从平衡视觉感知和处理速度的角度出发，压缩域的监控视频分析确实具有重要的战略意义，尤其是在背景建模和运动物体分割方面。因此，本文提出了一种在压缩域中快速提取运动物体的背景建模方法。我们的主要贡献有1) 提出了一种在压缩域中基于运动矢量振幅计算 MVLBP 特征的方法；2) 设计了一种在压缩域中基于运动矢量局部二进制模式（MVLBP）的背景建模和运动物体提取方法。实验结果表明，在 H.264 压缩域中，我们的方法能在更短的时间内提供稳定的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 Visual Communications and Image Processing

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