People Detection benchmark repository
These pages describe a people detection evaluation challenge, named People Detection benchmark (PDbm). It includes realistic sequences extracted from , manually annotated people detection ground truth and a complete evaluation framework.
Following the idea in  for change detection. We propose a People Detection benchmark repository (PDbm) . This benchmark allows to easily compare any people detection over a realistic, large-scale dataset with non-specific or constrained scenarios. In addition, the results will be available for the research community.
García-Martín, J.M. Martínez, J. Bescós, “PDbm: People detection benchmark repository”, Electronic
Letters Volume 51, Issue 7, p. 559 – 560
DOI: 10.1049/el.2014.3795 , Print ISSN 0013-5194, Online ISSN 1350-911X
Recall that this people detection benchmark is available just for research purposes.
Work partially supported by project TEC2011-25995 EventVideo.