scholarly journals On Stable Dynamic Background Generation Technique Using Gaussian Mixture Models for Robust Object Detection

2008 ◽  
Author(s):  
Mahfuzul Haque ◽  
Manzur Murshed ◽  
Manoranjan Paul
Keyword(s):  
Object Detection ◽  
Mixture Models ◽  
Gaussian Mixture Models ◽  
Gaussian Mixture ◽  
Dynamic Background ◽  
Generation Technique

Video Object Detection Algorithm Based on Gaussian Mixture Models

2013 ◽  
Vol 721 ◽  
pp. 587-590
Author(s):  
Zhao Xia Fu ◽  
Li Ming Wang
Keyword(s):  
Object Detection ◽  
Mixture Models ◽  
Gaussian Distribution ◽  
Gaussian Mixture Models ◽  
Gaussian Mixture ◽  
Detection Algorithm ◽  
Moving Object ◽  
Current Frame ◽  
Background Estimation ◽  
Object Based

The moving object detection of the video image is the basis of sequence image analysis, and it is the research hot issue of today’s foreign and domestic scholars. For detecting the moving object from the scene image in time, a detection algorithm of video moving object based on Gaussian mixture models is proposed in the paper. The pixel values are seen as the combination of the foreground Gaussian distribution and the background Gaussian distribution, and the background estimation and the adaptive background update will be put up. The statistical number of the foreground pixel of the current frame determines whether the light has a larger change, and it combines with the frame-difference method to detect moving object. The experimental results show that the algorithm can quickly and accurately establish the background model and accurately segment the foreground object.

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