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Exploiting contextual data for event retrieval in surveillance video |
Kelly, Philip; Ó Conaire, Ciarán; O'Connor, Noel E.
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Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detection of events in which we provide 2D and 3D contextual data for the scene under surveillance via a novel fast and convenient interface tool. In addition, the proposed framework illustrates the use of integral images, not only for detection, as with the classic Viola-Jones object detector, but also for efficient tracking. Finally, we provide a quantitative assessment of the performance of the proposed system in a number of physical locations via groundtruthed datasets.
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Keyword(s):
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Image processing; Information retrieval; surveillance; retrieval; event detection |
Publication Date:
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2009 |
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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, Ó Conaire, Ciarán and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135> (2009) Exploiting contextual data for event retrieval in surveillance video. In: CIVR 2009 - ACM International Conference on Image and Video Retrieval, 8-10 July, 2009, Santorini, Greece. ISBN 978-1-60558-480-5 |
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Publisher(s):
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Association for Computing Machinery |
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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/4713/1/dcu_CIVR_2009.pdf,
http://dx.doi.org/10.1145/1646396.1646437 |
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First Indexed:
2009-11-05 02:01:32 Last Updated:
2019-02-09 06:58:27 |
