Image Segmentation with Multi-Scale GVF Snake Model Based on B-Spline Wavelet

2007 ◽  
Author(s):  
Zhang Jun ◽  
Liu Jun
Keyword(s):  
Image Segmentation ◽  
Snake Model ◽  
Spline Wavelet ◽  
B Spline ◽  
Multi Scale ◽  
Model Based

Human Motion Tracking Based on B-Spline Snake Algorithm

2013 ◽  
Vol 706-708 ◽  
pp. 1886-1889
Author(s):  
Qun Long Wang
Keyword(s):  
Image Segmentation ◽  
Motion Tracking ◽  
Human Motion ◽  
High Quality ◽  
Snake Model ◽  
B Spline ◽  
Spline Curve ◽  
Object Contour ◽  
Model Initialization ◽  
Snake Algorithm

A new method for tracking of moving human objects is presented. The developed algorithm is based on B-spline Snake model. The Snake algorithm accesses the object contour through minimizing the energy; the object contour in each frame is presented through three B-spline curve. This approach gets the change image with double thresholds image segmentation between the neighboring frames, it could detect moving human objects with high quality and locate objects approximately. The contour extracts from the last frame put at the approximate position as the B-spline Snake model initialization. It accomplishes the tracking of moving human objects.

Application of Snake Model Based on PSO in the Image Segmentation

2006 ◽  
Author(s):  
Kejun Wang ◽  
Qingchang Guo ◽  
Dayan Zhuang ◽  
Hongxia Chu ◽  
Bin Fu
Keyword(s):  
Image Segmentation ◽  
Snake Model ◽  
Model Based
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