结合HLBP模型与色彩位置信息的动目标检测方法

doi:10.3969/j.issn.1001-2400.2015.04.005

Abstract

Abstract:

This paper proposes a background subtraction algorithm using the Gaussian mixture model to combine multiple features which include the Haar-LBP(HLBP) texture model, and color and location information. Experimental results validate the effectiveness of the proposed algorithm, which can not only detects an object timely and precisely, but also obtain a higher shadow detection rate and robustness to camera shake.

Key words: object detection, background subtraction algorithm, Gaussian mixture model, local binary pattern(LBP), multiple features

CLC Number:

TP37

HE Xiaochuan;XU Luping;FENG Dongzhu;YU Hang. HLBP model method with color and location information about moving objects detection[J].J4, 2015, 42(4): 27-32+158.

References

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HLBP model method with color and location information about moving objects detection

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