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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115036

    题名: Visual Moving Objects Tracking Using Shape Detectors and Object Models
    作者: Wang, Yin-Tien;Shen, Chin-An
    关键词: Visual simultaneous;localization;mapping (vSLAM);Object model;Pe-destrian detectors, Visual moving object tracking
    日期: 2017-08-21
    上传时间: 2018-09-27 12:11:38 (UTC+8)
    出版者: Springer
    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.
    關聯: Mobile Web and Intelligent Information Systems - 14th MobiWIS 2017, Prague, Proceedings _ Muhammad Younas _ Springer
    显示于类别:[機械與機電工程學系暨研究所] 會議論文


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