关键词: 目标检测, W4算法, 混合高斯模型, 局部二值模式（LBP）背景模型, 阴影

Abstract: The classical W4 algorithm can not eliminate the shadow of moving object, so a moving target detection algorithm is proposed. Firstly, it gives initial frame and calculates the minimum, the maximum and the maximum frame difference gray value with the traditional W4 algorithm. Secondly, the maximum gray value and the minimum gray value of each pixel are extracted. Then it combines with LBP texture features and adopts the idea of Gaussian mixture model that uses multiple modes to describe background model. In order to reduce matching complexity and reach real-time, many kinds of LBP are cut down. Experimental results show that the algorithm can effectively reduce the impact of shadow on moving target detection, and also meet the requirements of real-time.

Key words: target detection, W4 algorithm, Gaussian mixture model, Local Binary Pattern（LBP） texture features, shadow