Reading Circular Analogue Gauges using Digital Image Processing

Jakob S. Lauridsen, Julius A. G. Grassmé, Malte Pedersen, David Getreuer Jensen, Søren Holm Andersen, Thomas B. Moeslund

2019

Abstract

This paper presents an image processing based pipeline for automated recognition and translation of pointer movement in analogue circular gauges. The proposed method processes an input video frame-wise in a module based manner. Noise is minimized in each image using a bilateral filter before a Gaussian mean adaptive threshold is applied to segment objects. Subsequently, the objects are described by a set of proposed features and classified using probability distributions estimated using Expectation Maximization. The pointer is classified by the Mahalanobis distance and the angle of the pointer is determined using PCA. The output is a low pass filtered digital time series based on the temporal estimations of the pointer angle. Seven test videos have been processed by the algorithm showing promising results. Both source code and video data are publicly available.

Paper Citation

in Harvard Style

Lauridsen J., Grassmé J., Pedersen M., Jensen D., Andersen S. and Moeslund T. (2019). Reading Circular Analogue Gauges using Digital Image Processing. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4, SciTePress, pages 373-382. DOI: 10.5220/0007386003730382

in Bibtex Style

@conference{visapp19,
author={Jakob S. Lauridsen and Julius A. G. Grassmé and Malte Pedersen and David Getreuer Jensen and Søren Holm Andersen and Thomas B. Moeslund},
title={Reading Circular Analogue Gauges using Digital Image Processing},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={373-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007386003730382},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP
TI - Reading Circular Analogue Gauges using Digital Image Processing
SN - 978-989-758-354-4
AU - Lauridsen J.
AU - Grassmé J.
AU - Pedersen M.
AU - Jensen D.
AU - Andersen S.
AU - Moeslund T.
PY - 2019
SP - 373
EP - 382
DO - 10.5220/0007386003730382
PB - SciTePress