Computer Science ›› 2015, Vol. 42 ›› Issue (5): 286-288.doi: 10.11896/j.issn.1002-137X.2015.05.058

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Moving Target Detection Based on Improved Gaussian Mixture Model

FAN Wen-chao, LI Xiao-yu, WEI Kai and CHEN Xing-lin   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Moving object detection is the basis for object tracking and video surveillance.An improved Gaussian mixture algorithm for moving objects detection based on block and the self-adaptive number of Gaussian mixture model was proposed,aiming at the deficiency of moving target detection algorithm based on Gaussian mixture model.Idea of video image blocking is used to improve efficiency of target detection and at the same time realize video filtering processing.And self-adaptive operation based on number of Gaussian distribution in Gaussian mixture model is used to reduce complexity of algorithm,improve speed of moving target detection.Experimental results indicate that the improved Gaussian mixture algorithm possesses faster detection speed,better detecting effect,and reduces detection noise.It can detect moving target effectively,and is suitable for real-time detection of moving targets.

Key words: Moving target detection,Gaussian mixture model,Blocking idea,Self-adaptive

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