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Event detection in pedestrian detection and tracking applications |
Kelly, Philip; O'Connor, Noel E.; Smeaton, Alan F.
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In this paper, we present a system framework for event detection in pedestrian and tracking applications. The system is built upon a robust computer vision approach to detecting and tracking pedestrians in unconstrained crowded scenes. Upon this framework we propose a pedestrian indexing scheme and suite of tools for detecting events or retrieving data from a given scenario.
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Keyword(s):
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Information retrieval; Pedestrian Detection; Tracking; Stereo; Event Detection |
Publication Date:
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2007 |
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Type:
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Other |
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Peer-Reviewed:
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Unknown |
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Language(s):
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English |
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Institution:
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Dublin City University |
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Citation(s):
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Kelly, Philip, O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135> and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389> (2007) Event detection in pedestrian detection and tracking applications. In: SAMT 2007 - 2nd International Conference on Semantic and Digital Media Technologies, 5-7 December 2007, Genova, Italy. ISBN 978-3-540-77033-6 |
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Publisher(s):
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Springer Berlin / Heidelberg |
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File Format(s):
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application/pdf |
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Related Link(s):
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http://doras.dcu.ie/265/1/lncs_4816.pdf,
http://dx.doi.org/10.1007/978-3-540-77051-0_38 |
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First Indexed:
2009-11-05 02:00:28 Last Updated:
2019-02-09 07:04:41 |
