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AGORASET: a dataset for crowd video analysis

Pierre Allain 1 Nicolas Courty 2 Thomas Corpetti 3
2 SEASIDE - SEarch, Analyze, Synthesize and Interact with Data Ecosystems
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, UBS - Université de Bretagne Sud
3 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique
LETG - Littoral, Environnement, Télédétection, Géomatique UMR 6554
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.
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https://hal.archives-ouvertes.fr/hal-00904216
Contributor : Nicolas Courty <>
Submitted on : Thursday, November 14, 2013 - 9:52:02 AM
Last modification on : Wednesday, December 18, 2019 - 4:56:13 PM
Document(s) archivé(s) le : Saturday, February 15, 2014 - 4:30:36 AM

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  • HAL Id : hal-00904216, version 1

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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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