Dataset Open Access
Joël Dumoulin; Olivier Canévet; Michael Villamizar; Hugo Nunes; Omar Abou Khaled; Elena Mugellini; Fabrice Moscheni; Jean-Marc Odobez
UNICITY: A depth maps database for people detection in security airlocks.
UNICITY consists of 58k images collected from 65 recorded sequences with one or two people performing different behaviors including attacks and trickeries, like for instance tailgating (when a person walks very close to another to get into a restricted area). It also provides full annotation of people such as the location of head and shoulders. As as result, UNICITY is perfectly suited for training and adapting machine learning algorithms for video surveillance applications.
Please cite the following paper if you use the UNICITY dataset in your work (papers, articles, reports, books, software, etc):
The work was supported by Innosuisse, the Swiss innovation agency, through the UNICITY (3D scene understanding through machine learning to secure entrance zones) project.
Next links contain additional information about the dataset:
For any questions, please contact: