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JRM Vol.34 No.5 pp. 1033-1042
doi: 10.20965/jrm.2022.p1033
(2022)

Paper:

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

Taku Senoo*, Atsushi Konno*, Yunzhuo Wang**, Masahiro Hirano***, Norimasa Kishi***, and Masatoshi Ishikawa**

*Graduate School of Information Science and Technology, Hokkaido University
Kita 14, Nishi 9, Kita-ku, Sapporo, Hokkaido 060-0814, Japan

**Information Technology Center, The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

***Institute of Industrial Science, The University of Tokyo
4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan

Received:
May 13, 2022
Accepted:
August 1, 2022
Published:
October 20, 2022
Creative Commons License
Keywords:
high-speed vision, overlapping vehicles recognition, visual tracking, correlation filter
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.

Detection of a second preceding vehicle by camera

Detection of a second preceding vehicle by camera

Cite this article as:
T. Senoo, A. Konno, Y. Wang, M. Hirano, N. Kishi, and M. Ishikawa, “Tracking of Overlapped Vehicles with Spatio-Temporal Shared Filter for High-Speed Stereo Vision,” J. Robot. Mechatron., Vol.34 No.5, pp. 1033-1042, 2022.
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Last updated on Apr. 22, 2024