Two algorithms for detection of mutually occluding traffic signs
Bui, Thanh, Ghita, Ovidiu, Whelan, Paul F.ORCID: 0000-0001-9230-7656, Trang, Hoang and Troung, Vinh Quang
(2012)
Two algorithms for detection of mutually occluding traffic signs.
In: International Conference on Control, Automation and Information Sciences (ICCAIS 2012), 26-29 Nov 2012, Ho Chi Minh, Vietnam.
ISBN 978-1-4673-0812-0
The robust identification of the traffic signs represents the first and one of the most important steps in the development of a traffic sign recognition (TSR) system. Traffic signs detection usually involves a color segmentation process that uses the information related to the chromatic properties of the road signs. Since the traffic video data is captured in diverse road and weather conditions, the problem relating to traffic sign detection is quite challenging. Among several issues that need to be addressed during this processing stage, the problem generated by mutually occluding traffic signs (mutual occlusion occurs when one traffic sign partially occludes the surface of other road signs) that are attached to the same pole require special attention. In these situations the color segmentation process fails to correctly identify the regions that are associated with the traffic signs. These traffic sign detection failures compromise the performance of other stages of the TSR system and in this paper we propose two approaches that address the segmentation of mutually occluding traffic signs. The first approach uses the information associated with the inner parts of the traffic signs, while the second approach applies the watershed transform to identify the signs that have their borders in contact or are mutually occluding.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
computer vision; Traffic signs; Color segmentation; Mutual occlusion; Watershed