A Practical Approach to Boundary Accurate Multi-Object Extraction from Still Images and Videos

2006 ◽  
Author(s):  
Gerald Friedland ◽  
Kristian Jantz ◽  
Tobias Lenz ◽  
Fabian Wiesel ◽  
Raul Rojas
Keyword(s):  
Practical Approach ◽  
Object Extraction ◽  
Still Images

MSRM Based Object Extraction Method for Image Sequences

2014 ◽  
Vol 1049-1050 ◽  
pp. 1675-1680
Author(s):  
Wen Ting Yu ◽  
Jing Ling Wang ◽  
Long Ye
Keyword(s):  
Computer Vision ◽  
Extraction Method ◽  
Image Sequence ◽  
Graph Cut ◽  
Image Sequences ◽  
Object Extraction ◽  
Foreground Object ◽  
Region Merging ◽  
Still Images ◽  
Computer Vision Applications

Object extraction, which aims to accurately separate a foreground object from its background in still images, plays an important role in many computer vision applications. An interactive object extraction method based on MSRM (maximal similarity based region merging) is presented in this paper. We can manually mark the target and background only one time in any one image of the image sequence to obtain the object extraction result of the image sequence. Compared to currently used method based on graph cut algorithm that manually marks the target and background on all the images one by one to get the object extraction result, our method is more efficient and the result is as precious as with other methods.

A practical approach to identifying and creating subgroup survey norms

2010 ◽  
Author(s):  
Scott A. Withrow ◽  
William K. Balzer ◽  
Michael T. Sliter ◽  
Purnima Gopalkrishnan ◽  
Michael A. Gillespie ◽  
...  
Keyword(s):  
Practical Approach
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