scholarly journals Background Modelling Using Edge-Segment Distributions

10.5772/54185 ◽  
2013 ◽  
Vol 10 (2) ◽  
pp. 109 ◽  
Author(s):  
Jaemyun Kim ◽  
Mahbub Murshed ◽  
Adin Ramirez Rivera ◽  
Oksam Chae
Keyword(s):  
Background Modelling ◽  
Edge Segment

An improved mixed gaussian-based background modelling method for fast gesture segmentation of mobile terminals

2018 ◽  
Vol 35 (3-4) ◽  
pp. 243-252 ◽  
Author(s):  
Chengfeng JIAN ◽  
Tao LU ◽  
Xiaoyu XIANG ◽  
Meiyu ZHANG
Keyword(s):  
Mobile Terminals ◽  
Background Modelling ◽  
Modelling Method ◽  
Gesture Segmentation

A Robust Multi-Circle Detector Based on Horizontal and Vertical Search Analysis Fitting with Tangent Direction

2019 ◽  
Vol 33 (04) ◽  
pp. 1954013 ◽  
Author(s):  
Shaodong Li ◽  
Zhijiang Du ◽  
Hongjian Yu ◽  
Jiafu Yi
Keyword(s):  
Region Growing ◽  
The Other ◽  
Natural Images ◽  
Circle Detection ◽  
Edge Segment ◽  
Vertical Search ◽  
Search Order ◽  
Tangent Direction ◽  
The One ◽  
Helmholtz Principle

In this paper, we propose an efficient Multi-Circle detector which follows the fixed search order. The method makes use of horizontal and vertical search to realize circle detection, which is named as HVCD. First, this method computes edge areas in a given image. The edge areas could be divided into some regions by means of region growing. Each of regions could be efficiently searched to achieve not only one-pixel wide edges but edge segments as well. Next, the candidate circles can be extracted from every edge segment. Finally, the circle candidates could be validated with the help of Helmholtz principle. Experimental results demonstrate that HVCD could effectively detect circles on synthetic and natural images on the one hand; on the other hand, HVCD here could solve the weakness in the process of circle Hough transform implementation and EDcircles implementation.

Background modelling using discriminative motion representation

2017 ◽  
Vol 11 (6) ◽  
pp. 463-470 ◽  
Author(s):  
Zuofeng Zhong ◽  
Yong Xu ◽  
Zuoyong Li ◽  
Yinnan Zhao
Keyword(s):  
Motion Representation ◽  
Background Modelling
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