| 標題：Real-Time Automatic Target Selection and Tracking Algorithm Using Keypoint-Based Template Matching | |
|---|---|
| 學年 | 104 |
| 學期 | 1 |
| 發表日期 | 2015/09/02 |
| 作品名稱 | Real-Time Automatic Target Selection and Tracking Algorithm Using Keypoint-Based Template Matching |
| 作品名稱（其他語言） | |
| 著者 | Chi-Yi Tsai; Cheng-Jui Yu |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | Proceedings of the 3rd IIAE International Conference on Intelligent Systems and Image Processing 2015 |
| 會議地點 | Fukuoka University, Fukuoka, Japan |
| 摘要 | Object detection and tracking is an important function that helps bringing robots into real-world environments. Detection of an object-of-interest (OOI) from multiple stacking objects still holds certain degree of difficulty. In this paper, a novel target selection and tracking algorithm is proposed for detecting and tracking one OOI from multiple stacking objects. The proposed method first employs a keypoint extraction algorithm to compute control points from incoming images. Next, each OOI appeared in the image is extracted from the multiple stacking objects in a box by using mean shift clustering approach. Finally, a template-based visual tracking method is adopted to locate and track center position of the top OOI in the box. The proposed algorithm had been implemented on an Intel Core i5-4440 3.1GHz platform, achieving real-time performance about 30 frames per second at 640x480 image resolution in the experiments. |
| 關鍵字 | Keypoint extraction;object detection;mean shift clustering;template matching;visual tracking |
| 語言 | 英文 |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20150902~20150905 |
| 通訊作者 | Chi-Yi Tsai |
| 國別 | 日本 |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | Proceedings of the 3rd IIAE International Conference on Intelligent Systems and Image Processing 2015, pp.187-190 |
| 相關連結 | |
