MuseumVisitors is a dataset for pedestrian and group detection, gaze estimation and behavior understanding.
MuseumVisitors is a new dataset, under construction, acquired inside the National Museum of Bargello in Florence. It was recorded with three IP cameras at a resolution of 1280 × 800 pixels and an average framerate of five frames per second. Sequences were recorded following two scenarios.
The first scenario consists of visitors watching different artworks (individuals), while the second one consists of groups of visitors watching the same artworks (groups). This dataset is specifically designed to support research on group detection, occlusion handling, tracking, re-identification and behavior analysis.
In order to assess the difficulties of this dataset we have also performed some tests exploiting seven representative state-of-the-art pedestrian detectors. The results are showed in the paper (see cited article below).
If you use this dataset in a publication, We would be grateful if you cite:
author = “Bartoli, Federico and Lisanti, Giuseppe and Seidenari,
Lorenzo and Karaman, Svebor and Del Bimbo, Alberto”,
title = “MuseumVisitors: a dataset for pedestrian and group detection,
gaze estimation and behavior understanding”,
booktitle = “Proc. of CVPR Int’l. Workshop on Int. Workshop on Group
And Crowd Behavior Analysis And Understanding”,
year = “2015”,
url = “http://www.micc.unifi.it/publications/2015/BLSKD15”