NDLI: Real-time embedded implementation of robust speed-limit sign recognition using a novel centroid-to-contour description method

Content Provider	IET Digital Library
Author	Tsai, Chi Yi Liao, Hsien Chen Hsu, Kuang Jui
Abstract	Traffic sign recognition is a very important function in automatic driving assistance systems (ADAS). This study addresses the design and implementation of a vision-based ADAS based on an image-based speed-limit sign (SLS) recognition algorithm, which can automatically detect and recognise SLS on the road in real-time. To improve the recognition rate of SLS having different orientations and scales in the image, this study also presents a new sign content description algorithm, which describes the detected road sign using centroid-to-contour (CtC) distances of the extracted sign content. The proposed CtC descriptor is robust to translation, rotation and scale changes of the SLS in the image. This advantage improves the recognition accuracy of a support vector machine classifier trained using a large database of traffic signs. The proposed SLS recognition method had been implemented on two different embedded platforms, each of them equipped with an ARM-based Quad-Core CPU running Android 4.4 operating system. Experimental results validate that the proposed method not only provides a high recognition rate, but also achieves real-time performance up to 30 frames per second for processing 1280 × 720 video streams running on a commercial ARM-based smartphone.
Starting Page	407
Ending Page	414
Page Count	8
ISSN	17519632
Volume Number	11
e-ISSN	17519640
Issue Number	Issue 6, Sep (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/11/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2016.0082
Journal	IET Computer Vision
Publisher Date	2017-03-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Android (operating System) Android 4.4 Operating System ARM-based Quadcore CPU ARM-based Smartphone Automatic Driving Assistance System Centroid-to-contour Description Method Computer Vision And Image Processing Technique CtC Description Method Embedded System Image Classification Image Recognition Image-based Speed-limit Sign Recognition Algorithm Knowledge Engineering Technique Learning in AI Microprocessor Chips Microprocessors And Microcomputer Mobile Radio System Operating System Pervasive Computing Real-time Embedded Implementation Sign Content Description Algorithm Sign Content Extraction SLS Recognition Algorithm Smart Phones Support Vector Machine Support Vector Machine Classifier Traffic Sign Recognition Training Ubiquitous Video Streaming Vision-based ADAS
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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