教師資料查詢 | 類別: 會議論文 | 教師: 王銀添 Wang Yin-tien (瀏覽個人網頁)

標題:Visual Moving Objects Tracking Using Shape Detectors and Object Models
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
語言英文(美國)
收錄於
會議性質國際
校內研討會地點
研討會時間20170821~20170823
通訊作者Yin-Tien Wang
國別捷克
公開徵稿
出版型式
出處Mobile Web and Intelligent Information Systems - 14th MobiWIS 2017, Prague, Proceedings _ Muhammad Younas _ Springer
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