NDLI: Novel approach for real time detection and classification based on template matching in video

Content Provider	IEEE Xplore Digital Library
Author	Farhat, Wajdi Faiedh, Hassene Souani, Chokri Besbes, Kamel
Copyright Year	2015
Description	Author affiliation: Laboratory of Microelectronics and Instrumentation, Higher Institute of Applied Sciences and Technology of Sousse, University of Sousse (Farhat, Wajdi; Faiedh, Hassene; Souani, Chokri) \|\| Laboratory of Microelectronics and Instrumentation, Faculty of Sciences of Monastir, University of Monastir (Besbes, Kamel) In this paper, we present a new approach for the detection and classification of real time road signs from video. The proposed system is composed of two processing stages: detection and classification signs. The system has detected road signs by color and shape feature of segmentation color in HSV color space, especially red and blue. The detected signs are then classified by method template matching, such as circular, squared and triangular shapes. The road signs are classified in one of the following categories by Combining color and information about shape: danger, obligation, prohibition or information. As proposed system input is a video with a resolution of 1360×800 pixels. For detection phase road signs, has a high detection performance up to 92 % and for classification is rated 96% in our experiments. The proposed system also proves to be reliable and suitable for real-time processing.
Starting Page	1
Ending Page	7
File Size	538484
Page Count	7
File Format	PDF
e-ISBN	9781467366366
DOI	10.1109/WCITCA.2015.7367045
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-11
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Roads HSV Template Matching Classification algorithms ADAS Image segmentation TSR Image color analysis Lighting Real-time systems Road sign Detection
Content Type	Text
Resource Type	Article

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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
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