A Stochastic Approach Based Bayesian Salient Motion Segmentation Method

2008 ◽  
Author(s):  
Peng Tang ◽  
Lin Gao ◽  
Peng Sheng
Keyword(s):  
Motion Segmentation ◽  
Stochastic Approach ◽  
Segmentation Method

Motion segmentation method for hybrid characteristic on human motion

2009 ◽  
Vol 42 (4) ◽  
pp. 436-442 ◽  
Author(s):  
Newman Lau ◽  
Ben Wong ◽  
Daniel Chow
Keyword(s):  
Motion Segmentation ◽  
Human Motion ◽  
Segmentation Method

Water Film Detection in Water Distribution Test of PCCS

2013 ◽  
Vol 385-386 ◽  
pp. 663-667
Author(s):  
Xiao Feng Li
Keyword(s):  
Water Distribution ◽  
Cooling System ◽  
Motion Segmentation ◽  
Water Film ◽  
Optimal Threshold ◽  
Segmentation Method ◽  
Threshold Method ◽  
Illumination Change ◽  
Complex Background

In the passive containment cooling system (PCCS), water distribution tests are essential to verify the water distribution devices performance. Without regular boundaries and homogeneous intensities, images of water film acquired from these tests are hard to be detected by conventional approaches. We propose an improved segmentation method to identify the water film areas from the complex background. Considering the gray distortion resulted from asymmetric illumination, the method combines the modified motion segmentation and optimal threshold method. Detection results show that this method is hardly affected by the illumination change, and also insensitive to noise.

A New Motion Segmentation Method for Dynamic Scenes

2011 ◽  
Vol 10 (10) ◽  
pp. 1942-1949
Author(s):  
Zhenping Xie ◽  
Shitong Wang
Keyword(s):  
Motion Segmentation ◽  
Segmentation Method ◽  
Dynamic Scenes
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