Real-time detection algorithm of moving ground targets based on Gaussian mixture model

Weiping Yang; Zhilong Zhang; Yan Zhang; Jicheng Li

doi:10.1117/12.2066785

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23 October 2014 Real-time detection algorithm of moving ground targets based on Gaussian mixture model

Weiping Yang; Zhilong Zhang; Yan Zhang; Jicheng Li

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Proceedings Volume 9244, Image and Signal Processing for Remote Sensing XX; 92441U (2014) https://doi.org/10.1117/12.2066785
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

The study of moving target detection has high research value and wide developing perspective. Considering of real-time detection of typical moving ground targets, a novel algorithm is proposed, which is based on background estimation via using Gaussian mixture model and reference background frame updating. Firstly the image gray of the target and background is supposed to obey Gaussian distribution, then the whole image is divided into three Gaussian distribution and estimated to form the reference image, finally detection results can be obtained via subtracting the reference image from current frame image. At the mean time the reference image is updated with time to keep the adaptability of the background image. Experimental results show that the algorithm is effective for moving ground targets such as vehicle.

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Weiping Yang, Zhilong Zhang, Yan Zhang, and Jicheng Li "Real-time detection algorithm of moving ground targets based on Gaussian mixture model", Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92441U (23 October 2014); https://doi.org/10.1117/12.2066785

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