DocumentCode :
3540743
Title :
Colour tag design of robot soccer based on computational verb theory
Author :
Yu, Qiushui ; An, Zhiyong ; Yang, Ruining ; Liang, Shuang
fYear :
2009
fDate :
16-19 Aug. 2009
Abstract :
The vision system is the key to the robot soccer competition process. While all the information related to the environment in the competition process is obtained through the vision system identification of the colour tag design. Therefore the colour tag design is essential in the robot soccer competition process. The computational verb theory is a new theory of artificial intelligence domain, it has not only made up for the insufficiency of the static image processing, but also lightened the image processing computation burden. To design an anti-jamming colour tag design according to the verb image processing characteristic and to recognize the colour tag design using the computational verb theory can not only enhance the recognition precision, but also simplify the algorithm, enhance the recognition speed, satisfies the real time of the competition. Experiments show that the design has improved the stability and accuracy of vision system reduced, the preparation time for competition and achieved favorable effect in play. It has a bright future in application prospects.
Keywords :
artificial intelligence; image colour analysis; image recognition; mobile robots; multi-robot systems; robot vision; sport; antijamming colour tag design recognition; artificial intelligence; computational verb theory; robot soccer competition process; stability; static image processing; vision system identification; Algorithm design and analysis; Artificial intelligence; Character recognition; Color; Image processing; Image recognition; Machine vision; Robot vision systems; Stability; System identification; colour tag design; computational verb theory; vision system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
Type :
conf
DOI :
10.1109/ICEMI.2009.5274042
Filename :
5274042
Link To Document :
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