Automatic pedestrian counting using image processing techniques

Zhang, Xiaowei and Sexton, Graham (1995) Automatic pedestrian counting using image processing techniques. Electronics Letters, 31 (11). pp. 863-865. ISSN 0013 5194

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Official URL: http://dx.doi.org/10.1049/el:19950574

Abstract

A new image processing algorithm used for pedestrian counting is introduced. The algorithm was ported to a TMS320C50 based platform and performs the pedestrian counting task in real time. The system has been tested at St Lazare Railway Station in Paris with better than 80% accuracy in the counting results.

Item Type: Article
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Becky Skoyles
Date Deposited: 17 Feb 2015 14:50
Last Modified: 10 Aug 2015 11:33
URI: http://nrl.northumbria.ac.uk/id/eprint/18758

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