Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Event detection in pedestrian detection and tracking applications

Kelly, Philip and O'Connor, Noel E. and Smeaton, Alan F. (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

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
931Kb

Abstract

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
Refereed:Yes
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 Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives 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 05 May 2010 12:40

Download statistics

Archive Staff Only: edit this record