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Event detection in pedestrian detection and tracking applications
Kelly, Philip; O'Connor, Noel E.; Smeaton, Alan F.
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.
Keyword(s): Information retrieval; Pedestrian Detection; Tracking; Stereo; Event Detection
Publication Date:
2007
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): 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
Publisher(s): Springer Berlin / Heidelberg
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/265/1/lncs_4816.pdf,
http://dx.doi.org/10.1007/978-3-540-77051-0_38
First Indexed: 2009-11-05 02:00:28 Last Updated: 2019-02-09 07:04:41