關鍵字查詢 | 類別:會議論文 | | 關鍵字:Visual Moving Objects Tracking Using Shape Detectors and Object Models

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序號 學年期 教師動態
1 106/1 機電系 王銀添 教授 會議論文 發佈 Visual Moving Objects Tracking Using Shape Detectors and Object Models , [106-1] :Visual Moving Objects Tracking Using Shape Detectors and Object Models會議論文Visual Moving Objects Tracking Using Shape Detectors and Object ModelsYin-Tien Wang; Chin-An ShenVisual simultaneous;localization;mapping (vSLAM); Object model;Pe-destrian detectors, Visual moving object trackingMobile Web and Intelligent Information Systems - 14th MobiWIS 2017, Prague, Proceedings _ Muhammad Younas _ SpringerThis 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) w
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