Review of background subtraction methods using Gaussian mixture model for video surveillance systems

2017 ◽  
Vol 50 (2) ◽  
pp. 241-259 ◽  
Author(s):  
Kalpana Goyal ◽  
Jyoti Singhai
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Video Surveillance ◽  
Background Subtraction ◽  
Gaussian Mixture ◽  
Surveillance Systems

scholarly journals Towards the Development of Effective Video Segmentation Based on Skew Gaussian Mixture Model

2020 ◽  
Vol 9 (3) ◽  
pp. 1735-1745
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Background Subtraction ◽  
Video Segmentation ◽  
Gaussian Mixture ◽  
Dynamic Motion ◽  
Precise Analysis ◽  
Real Time Applications ◽  
Assessment Measures ◽  
Motion Images

video analysis has gained a exponential demand with its usage in security cameras and in most of the real time applications for monitoring the law order. In order to have a precise analysis background subtraction and foreground detection processed are generally considered in the most of the approaches. However ,to have a more precise output from the dynamic motion images, this article proposes a methodology based on skew Gaussian mixture model. The results are analyzed against the existing methods using quality assessment measures.

scholarly journals BMOG: boosted Gaussian Mixture Model with controlled complexity for background subtraction

2018 ◽  
Vol 21 (3) ◽  
pp. 641-654 ◽  
Author(s):  
Isabel Martins ◽  
Pedro Carvalho ◽  
Luís Corte-Real ◽  
José Luis Alba-Castro
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Background Subtraction ◽  
Gaussian Mixture
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