Tracking of Overlapped Vehicles with Spatio-Temporal Shared Filter for High-Speed Stereo Vision


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The file(s) associated with this item can be obtained from the following URL: https://doi.org/10.20965/jrm.2022.p1033

Title:	Tracking of Overlapped Vehicles with Spatio-Temporal Shared Filter for High-Speed Stereo Vision
Authors:	Senoo, Taku Browse this author
	Konno, Atsushi Browse this author →KAKEN DB
	Wang, Yunzhuo Browse this author
	Hirano, Masahiro Browse this author
	Kishi, Norimasa Browse this author
	Ishikawa, Masatoshi Browse this author
Keywords:	high-speed vision
	overlapping vehicles recognition
	visual tracking
	correlation filter
Issue Date:	20-Oct-2022
Publisher:	富士技術出版(Fuji Technology Press)
Journal Title:	Journal of robotics and mechatronics
Volume:	34
Issue:	5
Start Page:	1033
End Page:	1042
Publisher DOI:	10.20965/jrm.2022.p1033
Abstract:	In this study, we propose a method for measuring the distance and velocity of overlapping vehicles using high-speed stereo vision. The method is based on the correlation filter called MOSSE and is improved by balancing the computation cost and accuracy using the features of high-frame-rate images. To achieve stable tracking, the tracking window was adjusted for each vehicle according to the vehicle distance and the overlapping state. Experiments on the images acquired by the cameras mounted on an actual vehicle were performed to validate the proposed method.
Type:	article
URI:	http://hdl.handle.net/2115/88603
Appears in Collections:	情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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