A Geographical Object Extraction Method Using User's Trajectories for Generating Artificial Maps

2021 ◽  
Author(s):  
Koki Ohtsuka ◽  
Daisuke Kitayama ◽  
Kazutoshi Sumiya ◽  
Kazushi Fujita ◽  
Goto Shin ◽  
...  
Keyword(s):  
Extraction Method ◽  
Object Extraction

scholarly journals An Automatic Object Extraction Method Using Color Features Of Object And Background In Image

2013 ◽  
Vol 11 (12) ◽  
pp. 459-465 ◽  
Author(s):  
Sung Kap Lee ◽  
Young Soo Park ◽  
Gang Seong Lee ◽  
Jong Yong Lee ◽  
Sang Hun Lee
Keyword(s):  
Extraction Method ◽  
Object Extraction ◽  
Color Features

Enhanced Object Extraction Method Based on Multi-channel Saliency Map

2016 ◽  
Vol 53 (2) ◽  
pp. 53-61
Author(s):  
Young-jin Choi ◽  
Run Cui ◽  
Kwang-Rag Kim ◽  
Hyoung Joong Kim
Keyword(s):  
Extraction Method ◽  
Saliency Map ◽  
Object Extraction

A Moving Object Extraction Method for Video Based on Color Kernel Histogram

2013 ◽  
Vol 12 (4) ◽  
pp. 871-874
Author(s):  
Liu Weimin ◽  
Li Yanshan ◽  
Cao Yujie
Keyword(s):  
Extraction Method ◽  
Moving Object ◽  
Object Extraction

An object extraction method using sampled active contour model

1995 ◽  
Vol 26 (13) ◽  
pp. 66-74 ◽  
Author(s):  
Masahiro Hashimoto ◽  
Yoshinori Sakai ◽  
Hirotsugu Kinoshita
Keyword(s):  
Extraction Method ◽  
Active Contour ◽  
Active Contour Model ◽  
Object Extraction ◽  
Contour Model

Foreground Object Extraction Based on Interactive Color Saliency Map

2014 ◽  
Vol 14 (01n02) ◽  
pp. 1450007
Author(s):  
Hironori Takimoto ◽  
Hitoshi Yamauchi ◽  
Mitsuyoshi Kishihara ◽  
Kensuke Okubo
Keyword(s):  
Computer Vision ◽  
Extraction Method ◽  
Practical Importance ◽  
Saliency Map ◽  
Color Images ◽  
Object Extraction ◽  
Foreground Object ◽  
Foreground Extraction ◽  
Practical Applications ◽  
The Cost

Efficient interactive foreground extraction from color images is of great practical importance in computer vision. In recent years, an approach based on optimization using graph-cuts has been widely used. However, an interactive foreground extraction approach, which is intuitive and efficient for users, is required for practical applications. In this paper, we propose a novel foreground object extraction method based on interactive color saliency map. In our method, the user provides only some foreground pixels as the initial reference. To achieve extraction of multi target objects, likelihoods of the foreground and background are defined by a color saliency map based on the provided reference pixels. These likelihoods are added to the cost of the proposed graph. Finally, image segmentation is performed by optimizing the proposed graph using the graph-cut algorithm.

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