Camera position estimation method based on matching of Top-View images for running vehicle

Tomoaki Teshima; Hideo Saito; Shinji Ozawa; Keiichi Yamamoto; Toru Ihara

doi:10.1117/12.704067

Camera position estimation method based on matching of Top-View images for running vehicle

Tomoaki Teshima, Hideo Saito, Shinji Ozawa, Keiichi Yamamoto, Toru Ihara

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, a method which estimates the trajectory of the vehicle from a single vehicle camera is proposed. The proposed method is a model based method which assumes that the vehicle is running on a planar road. The input image is converted to a Top- View image and a matching (registration) between the next Top- View image is done. The registration is done based on an assumed velocity parameter, and repeated with entire candidate parameters. In this paper, a simple model and the particle filter is introduced to decrease the computation cost. Simple model gives a constraint to the registration of the Top-View images, and the particle filter decreases the number of the candidate parameters. Position of the camera is obtained by accumulating the velocity parameters. Experiments shows 3 results. Enough decreasement of the computation cost, suitable estimated trajectory and small enough computation cost to estimate the trajectory of the vehicle.

Original language	English
Title of host publication	Proceedings of SPIE-IS and T Electronic Imaging - Real-Time Image Processing 2007
DOIs	https://doi.org/10.1117/12.704067
Publication status	Published - 2007
Event	Real-Time Image Processing 2007 - San Jose, CA, United States Duration: 2007 Jan 29 → 2007 Jan 30

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6496
ISSN (Print)	0277-786X

Other

Other	Real-Time Image Processing 2007
Country	United States
City	San Jose, CA
Period	07/1/29 → 07/1/30

Keywords

Homography
ITS
Vehicle camera
Vehicle position estimation

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

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Teshima, T., Saito, H., Ozawa, S., Yamamoto, K., & Ihara, T. (2007). Camera position estimation method based on matching of Top-View images for running vehicle. In Proceedings of SPIE-IS and T Electronic Imaging - Real-Time Image Processing 2007 [649605] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6496). https://doi.org/10.1117/12.704067

Camera position estimation method based on matching of Top-View images for running vehicle. / Teshima, Tomoaki; Saito, Hideo; Ozawa, Shinji; Yamamoto, Keiichi; Ihara, Toru.

Proceedings of SPIE-IS and T Electronic Imaging - Real-Time Image Processing 2007. 2007. 649605 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6496).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Teshima, T, Saito, H, Ozawa, S, Yamamoto, K & Ihara, T 2007, Camera position estimation method based on matching of Top-View images for running vehicle. in Proceedings of SPIE-IS and T Electronic Imaging - Real-Time Image Processing 2007., 649605, Proceedings of SPIE - The International Society for Optical Engineering, vol. 6496, Real-Time Image Processing 2007, San Jose, CA, United States, 07/1/29. https://doi.org/10.1117/12.704067

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abstract = "In this paper, a method which estimates the trajectory of the vehicle from a single vehicle camera is proposed. The proposed method is a model based method which assumes that the vehicle is running on a planar road. The input image is converted to a Top- View image and a matching (registration) between the next Top- View image is done. The registration is done based on an assumed velocity parameter, and repeated with entire candidate parameters. In this paper, a simple model and the particle filter is introduced to decrease the computation cost. Simple model gives a constraint to the registration of the Top-View images, and the particle filter decreases the number of the candidate parameters. Position of the camera is obtained by accumulating the velocity parameters. Experiments shows 3 results. Enough decreasement of the computation cost, suitable estimated trajectory and small enough computation cost to estimate the trajectory of the vehicle.",

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AB - In this paper, a method which estimates the trajectory of the vehicle from a single vehicle camera is proposed. The proposed method is a model based method which assumes that the vehicle is running on a planar road. The input image is converted to a Top- View image and a matching (registration) between the next Top- View image is done. The registration is done based on an assumed velocity parameter, and repeated with entire candidate parameters. In this paper, a simple model and the particle filter is introduced to decrease the computation cost. Simple model gives a constraint to the registration of the Top-View images, and the particle filter decreases the number of the candidate parameters. Position of the camera is obtained by accumulating the velocity parameters. Experiments shows 3 results. Enough decreasement of the computation cost, suitable estimated trajectory and small enough computation cost to estimate the trajectory of the vehicle.

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