會議論文
| 學年 | 104 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2016-05-28 |
| 作品名稱 | A Novel Translation, Rotation, and Scale-Invariant Shape Description Method for Real-Time Speed-Limit Sign Recognition |
| 作品名稱（其他語言） | |
| 著者 | Chi-Yi Tsai; Hsien-Chen Liao; Yen-Chang Feng |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | ICASI2016 |
| 會議地點 | Okinawa, Japan |
| 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. |
| 關鍵字 | centroid-to-contour descriptor;Speed-limit sign recognition;road-sign detection;shape description |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20160528~20160601 |
| 通訊作者 | |
| 國別 | JPN |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | International Conference on Applied System Innovation |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/109808 ) |