Title :
A Region of Interest Extraction Approach of On-Road Object
Author :
Xia, Yongquan ; Huang, Min ; Chen, Xiaolei ; Li, Weili
Author_Institution :
Zhengzhou Univ. of Light Ind., Zhengzhou, China
fDate :
March 31 2009-April 2 2009
Abstract :
It is important to extract ROI (region of interest) based on vision image processing in intelligent transportation system. A simple and novel approach is proposed to extract the RIO in transportation scene images. First, interest pixels function is designed to detect all the interest pixels from scene image; after that, these interest pixels are grouped to interest regions according some strategy; Last, the regions selected by region threshold are as the result extraction of RIO. The experiment result is presented in the last part of the paper and the proposed approach is feasible and valid.
Keywords :
feature extraction; image segmentation; traffic engineering computing; transportation; intelligent transportation system; interest pixels function; on-road object; region of interest extraction approach; region threshold; vision image processing; Acoustic sensors; Computer vision; Data mining; Intelligent sensors; Intelligent transportation systems; Laser radar; Layout; Object detection; Pixel; Road transportation; Extraction; ITS; On-road object; Region of interest;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.365
