PDbm: People detection benchmark repository
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
The Institution of Engineering and TechnologyDate
2015-02-04Citation
10.1049/el.2014.3795
Electronics Letters 51.7 (2015): 559-560
ISSN
0013-5194 (print); 1350-911X (online)DOI
10.1049/el.2014.3795Editor's Version
http://dx.doi.org/10.1049/el.2014.3795Subjects
TelecomunicacionesNote
This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library and IEEE XploreRights
© The Institution of Engineering and Technology 2015Abstract
Following the approach of the change detection challenge, in order to facilitate the evaluation of new algorithms for people detection, a people detection benchmarking repository is presented. It includes realistic sequences, people detection ground truth and an evaluation framework. It will be updated based on received feedback, and will maintain a comprehensive ranking of submitted methods for years to come.
Files in this item
Google Scholar:García-Martín, Álvaro
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Alcedo Moreno, Borja
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Martínez Sánchez, José María
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