Event detection in pedestrian detection and tracking applications
Kelly, Philip, O'Connor, Noel E. 
ORCID: 0000-0002-4033-9135 and Smeaton, Alan F. ORCID: 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
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.
Metadata
| 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 08 Nov 2018 12:30 |
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