Author(s): My Ha Le, Dinh Huan Nguyen
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Volume. 6 - Issue. 03 , March - 2017
This paper proposes a method for object recognition and tracking in scene understanding system of outdoor mobile robot. Firstly, the moving objects in front of robot are detected using optical flow method based on stereo camera system. The information about the size, the distance of object to the robot are extracted in real-time condition. Secondly, the object categories are recognized base on the training data set and the convolutional neural network classifier. Thirdly, the objects are tracked during their appearance in the region of view of camera. The simulation results will demonstrate the effectiveness of this method.
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