Visual Moving Objects Tracking Using Shape Detectors and Object Models

淡江大學機構典藏 > 工學院 > 機械與機電工程學系暨研究所 > 會議論文 > Item 987654321/115036

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題名:	Visual Moving Objects Tracking Using Shape Detectors and Object Models
作者:	Wang, Yin-Tien;Shen, Chin-An
關鍵詞:	Visual simultaneous;localization;mapping (vSLAM);Object model;Pe-destrian detectors, Visual moving object tracking
日期:	2017-08-21
上傳時間:	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
顯示於類別:	[機械與機電工程學系暨研究所] 會議論文

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