Title :
Template matching algorithm based on gradient search
Author_Institution :
Dept. of Inf. Eng., Liaoning Jianzhu Vocational Univ., Liaoning, China
Abstract :
In order to improve the tracking performance of the conventional template matching method, a novel template matching method is proposed. The round template is used to ensure the rotation invariance of the method. The differential image can be got according to the original image in the polar coordinate system. The matching value is composed of the grey matching value and the differential matching value. The differential information contains the detail information of the template, which can enhance the accuracy of recognition. The gradient search is used to reduce the matching times, which can ensure the real time of the tracking system. Simulation results show that the template matching method proposed in this paper has better recognition and tracking performances than the conventional method.
Keywords :
gradient methods; image colour analysis; image matching; search problems; conventional template matching method; differential image; differential information; differential matching value; gradient search; grey matching value; matching time; polar coordinate system; recognition performance; rotation invariance; round template; template matching algorithm; tracking performance; Physics; Real-time systems; Search problems; Shape; Target recognition; Target tracking; gradient search; rotation invariance; template matching; tracking system;
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
DOI :
10.1109/ICMC.2014.7231800
