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Detecting and counting people in surveillance applications

Abstract:
A number of surveillance scenarios require the detection and tracking of people. Although person detection and counting systems are commercially available today, there is need for further research to address the challenges of real world scenarios. The focus of this work is the segmentation of groups of people into individuals. One relevant application of this algorithm is people counting. Experiments document that the presented approach leads to robust people counts. © 2005 IEEE.

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Publisher copy:
10.1109/AVSS.2005.1577286

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Clinical Medicine, Biomedical Research Centre
Krahnstoever, N More by this author
Journal:
IEEE International Conference on Advanced Video and Signal Based Surveillance - Proceedings of AVSS 2005
Volume:
2005
Pages:
306-311
Publication date:
2005
DOI:
URN:
uuid:b9619c9e-aba6-4b0c-98ef-035f8f1b9b64
Source identifiers:
439069
Local pid:
pubs:439069
Language:
English

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