關鍵字查詢 | 類別:會議論文 | | 關鍵字:Robust Multiple Targets Tracking Using Object Segmentation and Trajectory Estimation in Video

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序號 學年期 教師動態
1 94/1 電機系 蕭瑛東 教授 會議論文 發佈 Robust Multiple Targets Tracking Using Object Segmentation and Trajectory Estimation in Video , [94-1] :Robust Multiple Targets Tracking Using Object Segmentation and Trajectory Estimation in Video會議論文Robust Multiple Targets Tracking Using Object Segmentation and Trajectory Estimation in VideoHsiao, Ying-Tung; Chuang, Cheng-Long; Jiang, Joe-Air; Chien, Cheng-Chih淡江大學電機工程學系N.Y.: IEEE (Institute of Electrical and Electronic Engineers)Systems, Man and Cybernetics, 2005 IEEE International Conference on, Hawaii, USA, pp.1080-1085In 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 prop
2 94/1 電機系 簡丞志 副教授 會議論文 發佈 Robust Multiple Targets Tracking Using Object Segmentation and Trajectory Estimation in Video , [94-1] :Robust Multiple Targets Tracking Using Object Segmentation and Trajectory Estimation in Video會議論文Robust Multiple Targets Tracking Using Object Segmentation and Trajectory Estimation in VideoHsiao, Ying-Tung; Chuang, Cheng-Long; Jiang, Joe-Air; Chien, Cheng-Chih淡江大學電機工程學系N.Y.: IEEE (Institute of Electrical and Electronic Engineers)Systems, Man and Cybernetics, 2005 IEEE International Conference on, Hawaii, USA, pp.1080-1085In 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 prop
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