@inproceedings{9d4d171a55314ee6aae9ebebd7218530,
title = "Video-Based Background/Foreground Estimation for Vehicle Detection",
abstract = "The paper describes a new approach to background/foreground estimation in images from a video stream. The proposed method is based on the analysis of small gradients in images. The video stream is recorded with the camera mounted in the measuring station above the road and directed along the road. Input images are converted into binary form and divided into square blocks. For each block the sum of binary values is calculated. Blocks are assigned to the background or to the foreground of an input image. Background/foreground assignment depends on sums of binary values within individual blocks. Vehicle detection is carried out through the analysis of blocks assigned to the foreground. The proposed method of background/foreground estimation is intended for systems of traffic measurements and surveillance.",
keywords = "Background/foreground estimation, Image gradients, Image partitioning, Vehicle detection",
author = "Zbigniew Czapla",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 17th Scientific and Technical Conference on Transport Systems Theory and Practice, TSTP 2021 ; Conference date: 20-09-2021 Through 21-09-2021",
year = "2022",
doi = "10.1007/978-3-030-91156-0\_9",
language = "English",
isbn = "9783030911553",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "110--119",
editor = "Grzegorz Sierpi{\'n}ski",
booktitle = "Intelligent Solutions for Cities and Mobility of the Future",
address = "Germany",
}