scholarly journals Enhanced Low-Resolution Pruning for Fast Full-Search Template Matching

Author(s):  
Stefano Mattoccia ◽  
Federico Tombari ◽  
Luigi Di Stefano
2010 ◽  
Vol 17 (1) ◽  
pp. 107-110 ◽  
Author(s):  
Jik-Han Jung ◽  
Hwal-Suk Lee ◽  
Je Hee Lee ◽  
Dong-Jo Park

2014 ◽  
Vol 541-542 ◽  
pp. 1429-1432
Author(s):  
Jun Yong Ma ◽  
Shao Dong Chen ◽  
Sheng Wei Zhang

Vehicle Target Detection and Tracking Method Based on Image Super-Resolution Reconstruction and Variable Template Matching is Put Forward. Firstly, a Nonlinear Iterative Algorithm is Applied to Reconstruct a Super-Resolution Image from Low Resolution Image Sequence; then, the Image is Standardized and the Movement Areas are Determined; Finally, the Variable Template Matching Method is Used to Detect and Track the Vehicle Targets in Movement Areas. from the Characteristics of Algorithm and the Experiment Results, we can see that the Proposed Algorithm Improves the Matching Accuracy of Target Tracking and Better Solves the Limitation of Missed Detection for Traditional Methods. the Reason of the Good Performance of the Proposed Algorithm Relies in High Quality Images Acquired by Super-Resolution Reconstruction from Low Resolution Image Sequence and the Application of Variable Template Matching Method.


Author(s):  
Retno Supriyanti ◽  
Iman Ardhi Pradana ◽  
Eko Murdyantoro ◽  
Haris B. Widodo

2008 ◽  
Vol 17 (4) ◽  
pp. 528-538 ◽  
Author(s):  
Stefano Mattoccia ◽  
Federico Tombari ◽  
Luigi Di Stefano

2011 ◽  
Vol 32 (15) ◽  
pp. 2119-2127 ◽  
Author(s):  
Federico Tombari ◽  
Wanli Ouyang ◽  
Luigi Di Stefano ◽  
Wai-Kuen Cham

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