DocumentCode
1903010
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
fYear
2012
fDate
3-5 Sept. 2012
Firstpage
223
Lastpage
225
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics - Berlin (ICCE-Berlin), 2012 IEEE International Conference on
Conference_Location
Berlin
ISSN
2166-6814
Print_ISBN
978-1-4673-1546-3
Type
conf
DOI
10.1109/ICCE-Berlin.2012.6336467
Filename
6336467
Link To Document