Title :
A new sky recognition with using location of sky subimage
Author :
Yu-Kumg Chen ; Tsung-Hsien Tsai
Author_Institution :
Dept. of Electron. Eng., Huafan Univ., New Taipei, Taiwan
Abstract :
When a car drives through underpass, tunnel, or under the viaduct, etc., GPS will not be able to receive the satellite signals and makes the error navigation. In order to resolve this problem, a new sky recognition technique for driving-view image from the video of VEDR is proposed in this paper. With finding the distant center of road for driving-view image, the location of sky subimage is corrected in the first step of the proposed algorithm. Based on the theory of entropy, the road conditions of T-junction, skewed road, and shaded trees are determined in the sky subimage of driving-view image. Then, with analysis and statistics of gray scale image from the sky subimage of driving-view image, the road conditions of tunnel, underpass, and viaduct are separated from the road conditions of sky. Experimental results are carried out with some varied conditions of driving-view images, and show our proposed algorithm succeed in recognition of these road conditions.
Keywords :
data recording; driver information systems; entropy; image recognition; statistical analysis; video signal processing; T-junction road condition; VEDR video; driving-view image; entropy theory; gray scale image analysis; gray scale image statistics; shaded trees; skewed road condition; sky recognition technique; sky subimage location; tunnel; underpass; vehicle event data recorder; viaduct; Entropy; Global Positioning System; Image color analysis; Image edge detection; Roads; Satellites; Driving-view image; GPS; Sky recognition; Sky subimage; VEDR;
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
DOI :
10.1109/ICInfA.2013.6720460