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A framework for evaluating stereo-based pedestrian detection techniques
Kelly, Philip; O'Connor, Noel E.; Smeaton, Alan F.
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.
Keyword(s): Signal processing; Digital video; Image processing; Algorithms; Benchmarking; Disparity Estimation; Evaluation; Pedestrian Detection; Stereo Vision
Publication Date:
2008
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> (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
Publisher(s): Institute of Electrical and Electronics Engineers
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/652/1/PhilipKelly_2008_csvt.pdf,
http://dx.doi.org/10.1109/TCSVT.2008.928228
First Indexed: 2009-11-05 02:00:55 Last Updated: 2019-02-09 07:02:13