Title :
Recognizing Robot-Soccer with Half-chord Method
Author :
Cao, Aizeng ; Wei, Jun ; Zhao, Baohua ; Li, Jinping
Author_Institution :
Jinan Univ., Jinan
fDate :
May 30 2007-June 1 2007
Abstract :
Developing the color classification with mixed method in the YUV color space, presents a new algorithm of searching object robot-soccer called half-chord method which obviously reduces the calculating amount in the process of recognition. The validity of the algorithm has been proved on the experimentation of the RoboCup F180. It can faster recognize the object, guaranteeing the recognition precision.
Keywords :
image classification; image colour analysis; image recognition; mobile robots; multi-robot systems; object recognition; sport; YUV color space; color classification; half-chord method; object recognition; robot-soccer; Artificial neural networks; Automatic control; Color; Decision making; Game theory; Image processing; Image segmentation; Orbital robotics; Robot kinematics; Robotics and automation; image processing; image segmentation; neural netwoks; robot-soccer;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376730
