Pedestrian sensing with feature extraction.

Chamberlain, Timothy, Armitage, Alistair, Rutter, Malcolm and Binnie, David (2006) Pedestrian sensing with feature extraction. In: ITS World Congress, 29th September 2006, London.

Available under License Creative Commons Attribution Non-commercial.

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    Automated pedestrian sensing and tracking is receiving increasing attention from researchers in a number of areas. Applications are common in security, in urban planning, and in the retail industry. A common approach is to use CCTV and visible image processing, but this involves complicated scene interpretation. This paper describes our research on monitoring the movement of pedestrians using relatively low-cost, low resolution infrared sensors. We describe our data collection system and processing techniques and introduce new data analysis software. Preliminary results show that, as well as the simple tracking of pedestrians, biometric data, such as gait measurement, becomes possible. Our work aims to provide data to improve security and to enable behavioural monitoring of pedestrians in public. This data is important to those working in pedestrian monitoring, market research and in public safety and security.

    Item Type: Conference or Workshop Item (Paper)
    Additional Information: We gratefully acknowledge the help and support of Dr Neil Johnson of Infrared Integrated Systems Ltd, Northampton, ( and Professor Jon Kerridge of Napier University
    Uncontrolled Keywords: pedestrian movement; infrared sensors; biometric data; behavioural monitoring;
    University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
    Dewey Decimal Subjects: 300 Social sciences > 380 Commerce, communications & transportation > 388 Transportation; ground transportation
    Library of Congress Subjects: H Social Sciences > HE Transportation and Communications
    Item ID: 3423
    Depositing User: Computing Research
    Date Deposited: 16 Mar 2010 14:31
    Last Modified: 12 Jan 2011 04:53

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