Year: 2012
Type: conference-paper
Abstract: The ability of efficient computer vision tools (detec-tion of pedestrians, tracking,...) as well as advanced rendering techniques have enabled both the analysis of crowd phenomena and the simulation of realistic sce-narios. A recurrent problem lies in the evaluation of those methods since few common benchmark are avail-able to compare and evaluate the techniques is avail-able. This paper proposes a dataset of crowd sequences with associated ground truths (individual trajectories of each pedestrians inside the crowd, related continuous quantities of the scene such as the density and the veloc-ity field). We chosed to rely on realistic image synthesis to achieve our goal. As contributions of this paper, a typology of sequences relevant to the computer vision analysis problem is proposed, along with images of se-quences available in the database. 1
Source: HAL
Authors: Pierre Allain, Nicolas Courty, Thomas Corpetti
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Région Bretagne
OpenAlex ID: W2300915777