@inproceedings{b106918a355740d7b2bbfff43f2a3105,
title = "Camera position estimation method based on matching of Top-View images for running vehicle",
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.",
keywords = "Homography, ITS, Vehicle camera, Vehicle position estimation",
author = "Tomoaki Teshima and Hideo Saito and Shinji Ozawa and Keiichi Yamamoto and Toru Ihara",
year = "2007",
month = aug,
day = "31",
doi = "10.1117/12.704067",
language = "English",
isbn = "0819466093",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Real-Time Image Processing 2007",
note = "Real-Time Image Processing 2007 ; Conference date: 29-01-2007 Through 30-01-2007",
}