PDbm: People detection benchmark repository
Entidad
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesEditor
The Institution of Engineering and TechnologyFecha de edición
2015-02-04Cita
10.1049/el.2014.3795
Electronics Letters 51.7 (2015): 559-560
ISSN
0013-5194 (print); 1350-911X (online)DOI
10.1049/el.2014.3795Versión del editor
http://dx.doi.org/10.1049/el.2014.3795Materias
TelecomunicacionesNota
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 XploreDerechos
© The Institution of Engineering and Technology 2015Resumen
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.
Lista de ficheros
Google Scholar:García-Martín, Álvaro
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Alcedo Moreno, Borja
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Martínez Sánchez, José María
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