Target recognition of mobile robots based on gray image

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.