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Event detection in pedestrian detection and tracking applications

Kelly, Philip, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and Smeaton, Alan F. orcid logoORCID: 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

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.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Additional Information:The original publication is available at www.springerlink.com
Uncontrolled Keywords:Pedestrian Detection; Tracking; Stereo; Event Detection;
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Research Institutes and Centres > Adaptive Information Cluster (AIC)
Published in: Semantic Multimedia. Lecture Notes in Computer Science 4816. Springer Berlin / Heidelberg. ISBN 978-3-540-77033-6
Publisher:Springer Berlin / Heidelberg
Official URL:http://dx.doi.org/10.1007/978-3-540-77051-0_38
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 03/IN.3/I361, European Commission FP6-027026
ID Code:265
Deposited On:10 Mar 2008 by DORAS Administrator . Last Modified 08 Nov 2018 12:30

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