Adaptive spatio-temporal background subtraction using improved Wronskian change detection scheme in Gaussian mixture model framework

2018 ◽  
Vol 12 (10) ◽  
pp. 1832-1843 ◽  
Author(s):  
Deepak Kumar Panda ◽  
Sukadev Meher
Keyword(s):  
Change Detection ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Background Subtraction ◽  
Gaussian Mixture ◽  
Model Framework ◽  
Detection Scheme ◽  
Spatio Temporal

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.

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