Automatic human head location for pedestrian counting

Sexton, Graham and Zhang, Xiaowei (1997) Automatic human head location for pedestrian counting. In: 6th International Conference on Image Processing and its Applications, 14th - 17th July 1997, Dublin, Eire.

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Accurate pedestrian counting is presented in scenarios where a moving background is encountered. It was determined through detailed observation that the human head presents one of the most invariant features of persons dressed normally and being observed, from above, some meters away in potentially crowded situations. A model-specified directional filter (MDF) is used to detect candidate object locations and a simple matching process to identify the pedestrian heads through a temporal sequence of acquired images. The method fails to find the initial search points only if the contrast of the image is too low. The matching process is not successful if only part of the pedestrian head edge can be detected as a result of a poorly contrasting image.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: automatic human head location, dynamic background, image processing, matching process, measurement algorithms, model-specified directional filter, motion analysis, open spaces management, pedestrian counting, pedestrian head positions
Subjects: G400 Computer Science
G600 Software Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 16 Feb 2015 15:17
Last Modified: 13 Oct 2019 00:24

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