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A framework for evaluating stereo-based pedestrian detection techniques

Kelly, Philip and O'Connor, Noel E. and Smeaton, Alan F. (2008) A framework for evaluating stereo-based pedestrian detection techniques. IEEE Transactions on Circuits and Systems for Video Technology, 18 (8). pp. 1163-1167. ISSN 1051-8215

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Abstract

Automated pedestrian detection, counting, and tracking have received significant attention in the computer vision community of late. As such, a variety of techniques have been investigated using both traditional 2-D computer vision techniques and, more recently, 3-D stereo information. However, to date, a quantitative assessment of the performance of stereo-based pedestrian detection has been problematic, mainly due to the lack of standard stereo-based test data and an agreed methodology for carrying out the evaluation. This has forced researchers into making subjective comparisons between competing approaches. In this paper, we propose a framework for the quantitative evaluation of a short-baseline stereo-based pedestrian detection system. We provide freely available synthetic and real-world test data and recommend a set of evaluation metrics. This allows researchers to benchmark systems, not only with respect to other stereo-based approaches, but also with more traditional 2-D approaches. In order to illustrate its usefulness, we demonstrate the application of this framework to evaluate our own recently proposed technique for pedestrian detection and tracking.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Benchmarking; Disparity Estimation; Evaluation; Pedestrian Detection; Stereo Vision;
Subjects:Engineering > Signal processing
Computer Science > Digital video
Computer Science > Image processing
Computer Science > Algorithms
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/TCSVT.2008.928228
Copyright Information:©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Funders:Science Foundation Ireland, SFI 3/IN.3/I361
ID Code:652
Deposited On:09 Oct 2008 13:23 by Hyowon Lee. Last Modified 04 May 2010 14:55

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