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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/15693

Title: Automated people-counting by using low-resolution infrared and visual cameras
Authors: Amin, I.J.
Taylor, Andrew J.
Junejo, Faraz
Al-Habaibeh, A.
Parkin, Robert M.
Keywords: People-counting
Artificial neural network (ANN)
Issue Date: 2008
Publisher: © Elsevier Ltd.
Citation: AMIN, I.J. ... et al, 2008. Automated people-counting by using low-resolution infrared and visual cameras. Measurement, 41 (6), pp. 589 - 599.
Abstract: Non-contact counting of people in a specified area has many applications for safety, security and commercial purposes. Visible sensors have inherent limitations for this task, being sensitive to variations in ambient lighting and colours in the scene. Infrared imaging can overcome many of these problems, but normally hardware costs are prohibitively expensive. A system for counting people in a scene using a combination of low cost, low-resolution visual and infrared cameras is presented in this paper. The aim of this research was to assess the potential accuracy and robustness of systems using low-resolution images. This approach results in considerable savings on hardware costs, enabling the development of systems which may be implemented in a wide range of applications. The results of 18 experiments show that the system can be accurate to within 3% over a wide range of lighting conditions.
Description: This article was published in the journal, Measurement [© Elsevier]. The definitive version is available at: http://dx.doi.org/10.1016/j.measurement.2007.02.010
Version: Submitted for publication
DOI: 10.1016/j.measurement.2007.02.010
URI: https://dspace.lboro.ac.uk/2134/15693
Publisher Link: http://dx.doi.org/10.1016/j.measurement.2007.02.010
ISSN: 0263-2241
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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