NDLI: Road sign recognition system based on GentleBoost with sharing features

Content Provider	IEEE Xplore Digital Library
Author	Jin-Yi Wu Chien-Chung Tseng Chun-Hao Chang Lien, J.-J.J. Ju Chin Chen Ching Ting Tu
Copyright Year	2011
Description	Author affiliation: Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan (Jin-Yi Wu; Chien-Chung Tseng; Chun-Hao Chang; Lien, J.-J.J.) \|\| Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences, Taiwan (Ju Chin Chen) \|\| Institute of Information Science, Academia Sinica, Taipei, Taiwan (Ching Ting Tu)
Abstract	Nowadays, the number of vehicles is growing rapidly, and more and more intelligent transportation systems are developed for assisting drivers. Road sign detection and recognition is extremely important for safe and careful driving, this system can not only inform the driver about the condition of the roadway but also support the driver during the tedious task of remembering the large number of road signs. In this work, we propose a fast road sign detection and recognition system. This system takes advantage of the HSI color space to filter most of the false alarms. Distance to borders (DtBs) and Support Vector Machine (SVM) are then used for the shape detection. Finally, the candidate blobs that pass through the shape detection is recognized by a GentleBoost with sharing features detector and rotation, scale, translation-invariant (RST-invariant) template matching. For recognition step, color information is used for training GentleBoost detector to ensure the accuracy of the system; and the achromatic part of the candidates are matched to the templates by RST-invariant template matching. The main advantage of this system is that it can detect and recognize road signs efficiently and accurately.
Starting Page	410
Ending Page	415
File Size	931081
Page Count	6
File Format	PDF
ISBN	9781612843513
e-ISBN	9781612844718
e-ISBN	9781612844725
DOI	10.1109/ICSSE.2011.5961938
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Matched filters Shape Image color analysis Databases Traffic sign detection and recognition Roads Detectors Feature extraction GentleBoost with sharing feature RST-invariant template matching
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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