會議論文
| 學年 | 106 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2017-08-21 |
| 作品名稱 | Visual Moving Objects Tracking Using Shape Detectors and Object Models |
| 作品名稱（其他語言） | |
| 著者 | Yin-Tien Wang; Chin-An Shen |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | The 14th International Conference on Mobile Web and Intelligent Information Systems (MobiWis 2017) |
| 會議地點 | 布拉格，捷克(Prague, Czech Republic) |
| 摘要 | This paper presents an algorithm of robot visual moving-object tracking (MOT) based on the probabilistic object model with a pe-destrian detector. Three major research topics investigated in the study include the combination of moving feature detection and pe-destrian detection, the improvement of probabilistic object model, and the tuning mechanism of object model training. The developed MOT was further integrated with the visual simultaneous localiza-tion and mapping (vSLAM) to form a simultaneous localization, mapping, and moving object tracking system. The extended Kalman filter (EKF) was used to estimate the system states and the speeded-up robust features (SURFs) were employed to represent the visual environment map. Experiments were carried out in this research to validate the performance of the developed systems. |
| 關鍵字 | Visual simultaneous;localization;mapping (vSLAM); Object model;Pe-destrian detectors, Visual moving object tracking |
| 語言 | en_US |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20170821~20170823 |
| 通訊作者 | Yin-Tien Wang |
| 國別 | CZE |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | Mobile Web and Intelligent Information Systems - 14th MobiWIS 2017, Prague, Proceedings _ Muhammad Younas _ Springer |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115036 ) |