Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/83887
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Type: | Conference paper |
Title: | Challenges of ground truth evaluation of multi-target tracking |
Author: | Milan, A. Schindler, K. Roth, S. |
Citation: | Proceedings, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013: pp.735-742 |
Publisher: | IEEE |
Publisher Place: | USA |
Issue Date: | 2013 |
ISBN: | 9780769549903 |
Conference Name: | IEEE Conference on Computer Vision and Pattern Recognition Workshops (2013 : Portland, Oregon) |
Statement of Responsibility: | Anton Milan, Konrad Schindler, Stefan Roth |
Abstract: | Evaluating multi-target tracking based on ground truth data is a surprisingly challenging task. Erroneous or ambiguous ground truth annotations, numerous evaluation protocols, and the lack of standardized benchmarks make a direct quantitative comparison of different tracking approaches rather difficult. The goal of this paper is to raise awareness of common pitfalls related to objective ground truth evaluation. We investigate the influence of different annotations, evaluation software, and training procedures using several publicly available resources, and point out the limitations of current definitions of evaluation metrics. Finally, we argue that the development an extensive standardized benchmark for multi-target tracking is an essential step toward more objective comparison of tracking approaches. |
Rights: | © 2013 IEEE |
DOI: | 10.1109/CVPRW.2013.111 |
Published version: | http://dx.doi.org/10.1109/cvprw.2013.111 |
Appears in Collections: | Aurora harvest 4 Computer Science publications |
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RA_hdl_83887.pdf Restricted Access | Restricted Access | 443.03 kB | Adobe PDF | View/Open |
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