Identification of Location and Camera Parameters for Public Live Streaming Web Cameras
Public live streaming web cameras are quite common now and widely used by drivers for qualitative analysis of traffic conditions. At the same time, they can be a valuable source of quantitative information on transport flows and speed for the development of urban traffic models. However, to obtain r...
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Format: | Article |
Language: | English |
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MDPI AG
2022-10-01
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Series: | Mathematics |
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Online Access: | https://www.mdpi.com/2227-7390/10/19/3601 |
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author | Aleksander Zatserkovnyy Evgeni Nurminski |
author_facet | Aleksander Zatserkovnyy Evgeni Nurminski |
author_sort | Aleksander Zatserkovnyy |
collection | DOAJ |
description | Public live streaming web cameras are quite common now and widely used by drivers for qualitative analysis of traffic conditions. At the same time, they can be a valuable source of quantitative information on transport flows and speed for the development of urban traffic models. However, to obtain reliable data from raw video streams, it is necessary to preprocess them, considering the camera location and parameters without direct access to the camera. Here we suggest a procedure for estimating camera parameters, which allows us to determine pixel coordinates for a point cloud in the camera’s view field and transform them into metric data. They are used with advanced moving object detection and tracking for measurements. |
first_indexed | 2024-03-09T21:27:40Z |
format | Article |
id | doaj.art-879b5890e79c4c0082ca40101c6ada7e |
institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-09T21:27:40Z |
publishDate | 2022-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Mathematics |
spelling | doaj.art-879b5890e79c4c0082ca40101c6ada7e2023-11-23T21:04:17ZengMDPI AGMathematics2227-73902022-10-011019360110.3390/math10193601Identification of Location and Camera Parameters for Public Live Streaming Web CamerasAleksander Zatserkovnyy0Evgeni Nurminski1Pacific Oceanological Institute of Far Eastern Branch of RAS, 690041 Vladivostok, RussiaCenter for Research and Education in Mathematics, Institute of Mathematics and Computer Technologies, Far Eastern Federal University, 690922 Vladivostok, RussiaPublic live streaming web cameras are quite common now and widely used by drivers for qualitative analysis of traffic conditions. At the same time, they can be a valuable source of quantitative information on transport flows and speed for the development of urban traffic models. However, to obtain reliable data from raw video streams, it is necessary to preprocess them, considering the camera location and parameters without direct access to the camera. Here we suggest a procedure for estimating camera parameters, which allows us to determine pixel coordinates for a point cloud in the camera’s view field and transform them into metric data. They are used with advanced moving object detection and tracking for measurements.https://www.mdpi.com/2227-7390/10/19/3601depth mapradial distortionperspective distortioncamera calibrationtransport traffic statistics |
spellingShingle | Aleksander Zatserkovnyy Evgeni Nurminski Identification of Location and Camera Parameters for Public Live Streaming Web Cameras Mathematics depth map radial distortion perspective distortion camera calibration transport traffic statistics |
title | Identification of Location and Camera Parameters for Public Live Streaming Web Cameras |
title_full | Identification of Location and Camera Parameters for Public Live Streaming Web Cameras |
title_fullStr | Identification of Location and Camera Parameters for Public Live Streaming Web Cameras |
title_full_unstemmed | Identification of Location and Camera Parameters for Public Live Streaming Web Cameras |
title_short | Identification of Location and Camera Parameters for Public Live Streaming Web Cameras |
title_sort | identification of location and camera parameters for public live streaming web cameras |
topic | depth map radial distortion perspective distortion camera calibration transport traffic statistics |
url | https://www.mdpi.com/2227-7390/10/19/3601 |
work_keys_str_mv | AT aleksanderzatserkovnyy identificationoflocationandcameraparametersforpubliclivestreamingwebcameras AT evgeninurminski identificationoflocationandcameraparametersforpubliclivestreamingwebcameras |