AGORASET: a dataset for crowd video analysis. In 1st icpr international workshop on pattern recognition and crowd analysis, Tsukuba, Japan, November 2012.
The ability of efficient computer vision tools (detection of pedestrians, tracking, ...) as well as advanced rendering techniques have enabled both the analysis of crowd phenomena and the simulation of realistic scenarios. A recurrent problem lies in the evaluation of those methods since few common benchmark are available to compare and evaluate these techniques. 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 velocity 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 sequences available in the database.
Bibtex:
@inproceedings{Allain2012a,Address = {Tsukuba, Japan},
Author = {Allain, P. and Courty, N. and Corpetti, T.},
Booktitle = {1st ICPR International Workshop on Pattern Recognition and Crowd Analysis},
Month = {November},
Title = {{AGORASET}: a dataset for crowd video analysis},
Year = {2012}}