Title :
An intelligent depth-based obstacle detection for mobile applications
Author :
Lee, Chia-Hsiang ; Su, Yu-Chi ; Chen, Liang-Gee
Author_Institution :
Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
In this paper, we present a depth-based obstacle detection system in computer vision. Segmentation and noise elimination are adopted to capture different obvious objects. High performance is achieved via obstacle extraction. Our framework can be used to help blind people prevent from dangers and applied to other dynamic surveillance applications. The detection rate is above 93.7% outdoors and indoors.
Keywords :
computer vision; feature extraction; handicapped aids; image denoising; image segmentation; mobile computing; object detection; stereo image processing; surveillance; vision defects; blind people; computer vision; danger prevention; depth-based obstacle detection system; dynamic surveillance application; intelligent depth-based obstacle detection; mobile application; noise elimination; obstacle extraction; segmentation; Image segmentation;
Conference_Titel :
Consumer Electronics - Berlin (ICCE-Berlin), 2012 IEEE International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4673-1546-3
DOI :
10.1109/ICCE-Berlin.2012.6336467
