Bolei Xu
A classification-regression deep learning model for people counting
Xu, Bolei; Zou, Wenbin; Garibaldi, Jonathan; Qiu, Guoping
Authors
Wenbin Zou
Prof. JONATHAN GARIBALDI JON.GARIBALDI@NOTTINGHAM.AC.UK
Provost and Pvc Unnc
GUOPING QIU GUOPING.QIU@NOTTINGHAM.AC.UK
Professor of Visual Information Processing
Contributors
Kohei Arai
Editor
Supriya Kapoor
Editor
Rahul Bhatia
Editor
Abstract
In this paper, we construct a multi-task deep learning model to simultaneously predict people number and the level of crowd density. Motivated by the success of applying " ambiguous labelling " to age estimation problem, we also manage to employ this strategy to the people counting problem. We show that it is a reasonable strategy since people counting problem is similar to the age estimation problem. Also, by applying " ambiguous labelling " , we are able to augment the size of training dataset, which is a desirable property when applying to deep learning model. In a series of experiment, we show that the " ambiguous labelling " strategy can not only improve the performance of deep learning but also enhance the prediction ability of traditional computer vision methods such as Random Projection Forest with hand-crafted features.
Citation
Xu, B., Zou, W., Garibaldi, J., & Qiu, G. (2018). A classification-regression deep learning model for people counting. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems and Applications Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1 (136-149). https://doi.org/10.1007/978-3-030-01054-6_9
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | Intelligent Systems Conference 2018 (IntelliSys 2018) |
Start Date | Sep 6, 2018 |
End Date | Sep 7, 2018 |
Acceptance Date | Sep 1, 2018 |
Online Publication Date | Nov 8, 2018 |
Publication Date | Nov 9, 2018 |
Deposit Date | Dec 13, 2018 |
Publicly Available Date | Nov 9, 2019 |
Journal | Intelligent Systems Conference |
Publisher | Springer Publishing Company |
Pages | 136-149 |
Series Title | Advances in Intelligent Systems and Computing |
Series Number | 868 |
Series ISSN | 2194-5365 |
Book Title | Intelligent Systems and Applications Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1 |
Chapter Number | 9 |
ISBN | 978-3-030-01053-9 |
DOI | https://doi.org/10.1007/978-3-030-01054-6_9 |
Keywords | People counting; Deep learning; Ambiguous la- belling |
Public URL | https://nottingham-repository.worktribe.com/output/1412867 |
Publisher URL | https://link.springer.com/chapter/10.1007/978-3-030-01054-6_9 |
Contract Date | Dec 13, 2018 |
Files
SAI Intelligent Systems Conference, London 2018
(1.3 Mb)
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