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 en_US
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20170821~20170823
通訊作者 Yin-Tien Wang
國別 CZE
公開徵稿
出版型式
出處 Mobile Web and Intelligent Information Systems - 14th MobiWIS 2017, Prague, Proceedings _ Muhammad Younas _ Springer
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115036 )