具有密集运动目标的视频序列的有效背景估计方法

2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2015-08-17 DOI:10.1109/MCSI.2015.13

Hui Zhu, N. Mastorakis, X. Zhuang

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引用次数: 1

摘要

提出了一种具有密集运动目标的视频序列背景估计方法。通过光流估计速度场来确定运动物体所占的图像面积。在排除运动目标的区域内，通过有效的平均处理来估计背景，克服了常规平均方法在繁忙交通等动态环境下对前景遮挡的问题。在交通监控视频上的实验结果证明了该方法的有效性。

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A Method of Effective Background Estimation for Video Sequences with Dense Moving Objects

A method is proposed to estimate the background in video sequences with dense moving objects. The velocity field is estimated by optical flow to determine the image areas occupied by moving objects. The background is estimated by an efficient averaging process within the regions excluding the moving objects, which overcomes the foreground-occluding problem in common averaging method in a dynamic environment such as heavy traffic. The experimental results on traffic surveillance videos prove the effectiveness of the proposed method.

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来源期刊

2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

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