Background Subtraction Based on Gaussian Mixture Model

Abstract:

According to the detection of moving objects in video sequences, the paper puts forward background subtraction based on Gauss mixture model. It analyzes the usual pixel-level approach, and to develop an efficient adaptive algorithm using Gaussian mixture probability density. Recursive equations are used to constantly update the parameters and but also to simultaneously select the appropriate number of components for each pixel.

• Periodical: Advanced Materials Research (Volumes 694-697)
• Pages: 2021-2026
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.694-697.2021
• Online since: May 2013
• Authors: De Fang Liu, Ming Deng, Dai Mu Wang
• Keywords: Background Subtraction, Gaussian Mixture Model, Video Sequence

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