DocumentCode :
734195
Title :
A new method for image recognition of binocular vision system by tennis intelligent robot
Author :
Ying Li ; Yue Wu ; Heng Zheng ; Wenqi Jiang ; Zhihua Gao
Author_Institution :
Hengshui Univ., Hengshui, China
fYear :
2015
fDate :
27-29 March 2015
Firstpage :
240
Lastpage :
244
Abstract :
Aim to let the intelligent robot could quick, accurately identify and locate tennis, a new method of tennis recognition is proposed in this paper based on color and shape. First, more independent goals image are removed through color filter method and image filter method with taking advantage of Matlab processing functions. Secondly, corner pixels were extracted to complete stereovision matching in order to obtain tridimensional information of position and shape under the extreme constraints. Sufficient experiments of tennis recognition show that the algorithm which is based on single tennis characteristic has poor accuracy with parallax positioning accuracy of 76%, distance accuracy of 71% and color accuracy of 67%. However, accuracy of the algorithm which bases on three characteristics reaches 91%. The results show that the algorithm has higher robustness and tennis position can be located and distinguished more effectively, work efficiency is therefore enhanced for the intelligent robot.
Keywords :
image colour analysis; image filtering; image recognition; intelligent robots; mathematics computing; robot vision; shape recognition; Matlab processing functions; binocular vision system; color filter method; image filter method; image recognition; shape; tennis intelligent robot; tennis recognition; Accuracy; Cameras; Indexes; MATLAB; Optical imaging; Robot vision systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2015 Seventh International Conference on
Conference_Location :
Wuyi
Print_ISBN :
978-1-4799-7257-9
Type :
conf
DOI :
10.1109/ICACI.2015.7184785
Filename :
7184785
Link To Document :
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