A Novel Translation, Rotation, and Scale-Invariant Shape Description Method for Real-Time Speed-Limit Sign Recognition

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/109808

請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109808

題名:	A Novel Translation, Rotation, and Scale-Invariant Shape Description Method for Real-Time Speed-Limit Sign Recognition
作者:	Tsai, Chi-Yi;Liao, Hsien-Chen;Feng, Yen-Chang
關鍵詞:	centroid-to-contour descriptor;Speed-limit sign recognition;road-sign detection;shape description
日期:	2016-05-28
上傳時間:	2017-03-07 02:12:44 (UTC+8)
摘要:	Speed-limit sign (SLS) recognition is an important function to realize automatic driving assistance systems (ADAS). This paper presents a novel design of an image-based SLS recognition algorithm, which can efficiently detect and recognize SLS in real-time. To improve the robustness of the proposed SLS algorithm, this paper also proposes a new shape description method to describe the detected SLS using centroid-to-contour (CtC) distances of the sign content. The proposed CtC descriptor is invariant to translation, rotation, and scale variations of the SLS in the image. This advantage increases the recognition rate of a linear support vector machine classifier. The proposed SLS recognition method had been implemented and tested on an ARM-based embedded platform. Experimental results validate the SLS recognition accuracy and real-time performance of the proposed method.
關聯:	International Conference on Applied System Innovation
顯示於類別:	[電機工程學系暨研究所] 會議論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
A Novel Translation, Rotation, .pdf	全文	708Kb	Adobe PDF	150	檢視/開啟
ICASI2016agendaF.pdf	議程	232Kb	Adobe PDF	57	檢視/開啟

在機構典藏中所有的資料項目都受到原著作權保護.

TAIR相關文章