Spatial domain analysis based on human position and movement recognition for the top-view imaging systems

2019 ◽  
Author(s):  
lee Seung Jun ◽  
Kim Byeong Hak ◽  
Kim Younghyoug ◽  
Kim Min Young
Keyword(s):  
Domain Analysis ◽  
Spatial Domain ◽  
Imaging Systems ◽  
Movement Recognition ◽  
Top View ◽  
Human Position

Super-Resolution Restoration for Image Based on Entropy Constraint and Projection onto Convex Set

2012 ◽  
Vol 468-471 ◽  
pp. 1041-1048 ◽  
Author(s):  
Xiao Qin Li ◽  
Kang Ling Fang ◽  
Can Jin
Keyword(s):  
Convergence Rate ◽  
Millimeter Wave ◽  
Convex Set ◽  
Super Resolution ◽  
Reconstruction Algorithm ◽  
Spatial Domain ◽  
Imaging Systems ◽  
Resolution Limit ◽  
Classical Algorithm ◽  
Restoration Algorithm

Super-resolution reconstruction for image breaks through the resolution limit of imaging systems without hardware change. The algorithm of projection onto convex set (POCS) is a typical super-resolution reconstruction algorithm in spatial domain. The classical algorithm of POCS lacks the overall constraint for the image, and the convergence rate for iteration is incontrollable. A new super-resolution restoration algorithm for image based on entropy constraint and POCS is proposed in this paper, and experiments with optical and millimeter wave images demonstrate that the new algorithm is effective in improving the precision of super-resolution restoration.

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