會議論文
| 學年 | 94 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2005-10-10 |
| 作品名稱 | Robust Multiple Targets Tracking Using Object Segmentation and Trajectory Estimation in Video |
| 作品名稱（其他語言） | |
| 著者 | Hsiao, Ying-Tung; Chuang, Cheng-Long; Jiang, Joe-Air; Chien, Cheng-Chih |
| 作品所屬單位 | 淡江大學電機工程學系 |
| 出版者 | N.Y.: IEEE (Institute of Electrical and Electronic Engineers) |
| 會議名稱 | Systems, Man and Cybernetics, 2005 IEEE International Conference on |
| 會議地點 | Waikoloa, United States |
| 摘要 | In this paper, a novel robust unsupervised video object tracking algorithm is proposed. The proposed algorithm combines several techniques: mathematical morphology, region growing, region merging, and trajectory estimation, for tracking several predetermined video objects, simultaneously. A modified mathematical morphological edge detector was employed to sketch the contour of the video frame; and an edge-based object segmentation algorithm was applied to the contour for partitioning the predetermined objects; moreover, according to the motion of the objects, the proposed algorithm can estimate and partition the objects in following video frames, automatically. The proposed algorithm is also robustness against mobile cameras. The experimental results show that the proposed algorithm can precisely partition and track multiple video objects |
| 關鍵字 | |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | |
| 通訊作者 | |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | Systems, Man and Cybernetics, 2005 IEEE International Conference on, Hawaii, USA, pp.1080-1085 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/70551 ) |