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基於移動物體軌跡與外觀之影片搜尋 Video Object Retrieval by Trajectory and Appearance

基於移動物體軌跡與外觀之影片搜尋 Video Object Retrieval by Trajectory and Appearance. 學生：賴沅壕　指導教師：楊傳凱 國立台灣科技大學資訊管理 系. 系統架構. video to index. query track by hand sketch. GMM on CUDA. Lab color difference. Optical flow. probability map. B- spline curve fitting. Morphological Op. Adaboost Classifier.

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基於移動物體軌跡與外觀之影片搜尋 Video Object Retrieval by Trajectory and Appearance

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  1. 基於移動物體軌跡與外觀之影片搜尋 Video Object Retrieval by Trajectory and Appearance 學生：賴沅壕　指導教師：楊傳凱 國立台灣科技大學資訊管理系

  2. 系統架構 video to index query track by hand sketch GMM on CUDA Lab color difference Optical flow probability map B-spline curve fitting Morphological Op. AdaboostClassifier foreground Kalal tracker SURF B-spline curve fitting words tree trajectory Appearance match object similarin appearance feature point in DB

  3. 實驗結果 • CMCCurve • AHPE [Bazzani et al. 2012] • CPS [Cheng et al. 2011] • PRCCurve • [Hamdounet al. 2012]

  4. 結論

  5. Thank You.

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