Title :
Target recognition of mobile robots based on gray image
Author :
Wang, Xiaorong ; Zhao, Yingkai ; Lin, Jinguo
Author_Institution :
Dept. of Autom., Nanjing Univ. of Technol., Nanjing
Abstract :
To improve accuracy and speed of target recognition of mobile robot, an recognition method of Gabor filter based on gray image was given. The method processed image through gabor filter units, and extracted feature by principle component analysis (PCA). The extracted features then were classified by support vector machine(SVM). Experiment results indicate that, mobile robots can reach recognition rate of more than 92% and speed of real-time image processing of 8 frames per second.
Keywords :
Gabor filters; feature extraction; mobile robots; object recognition; principal component analysis; robot vision; support vector machines; Gabor filter; PCA; SVM; extracted feature; gray image; mobile robots; principle component analysis; real-time image processing; support vector machine; target recognition; Feature extraction; Gabor filters; Image recognition; Intelligent control; Mobile robots; Principal component analysis; Robotics and automation; Support vector machine classification; Support vector machines; Target recognition; Gabor filter; mobile robot; support vector machine (SVM); target recognition;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593548
