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Communication Dans Un Congrès Année : 2012

AGORASET: a dataset for crowd video analysis

Résumé

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.
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Dates et versions

hal-00904216 , version 1 (14-11-2013)

Identifiants

  • HAL Id : hal-00904216 , version 1

Citer

Pierre Allain, Nicolas Courty, Thomas Corpetti. AGORASET: a dataset for crowd video analysis. 1st ICPR International Workshop on Pattern Recognition and Crowd Analysis, Nov 2012, Tsukuba, Japan. pp.1-6. ⟨hal-00904216⟩
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