Real-Time Embedded Implementation of Robust Speed-Limit Sign Recognition Using a Novel Centroid-to-Contour Description Method
學年 106
學期 1
出版（發表）日期 2017-09-11
作品名稱 Real-Time Embedded Implementation of Robust Speed-Limit Sign Recognition Using a Novel Centroid-to-Contour Description Method
作品名稱（其他語言）
著者 Chi-Yi Tsai; Hsien-Chen Liao; Kuang-Jui Hsu
單位
出版者
著錄名稱、卷期、頁數 IET Computer Vision 11(6), p.407-414
摘要 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.
關鍵字 Android (operating system);embedded systems;image classification;learning (artificial intelligence);microprocessor chips;smart phones;support vector machines;video streaming
語言 en
ISSN 1751-9632
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者 Chi-Yi Tsai
審稿制度 否
國別 GBR
公開徵稿
出版型式 ,電子版,紙本
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