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
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.
Type de document :
Communication dans un congrès
1st ICPR International Workshop on Pattern Recognition and Crowd Analysis, Nov 2012, Tsukuba, Japan. pp.1-6, 2012
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https://hal.archives-ouvertes.fr/hal-00904216
Contributeur : Nicolas Courty <>
Soumis le : jeudi 14 novembre 2013 - 09:52:02
Dernière modification le : mercredi 12 juillet 2017 - 01:15:40
Document(s) archivé(s) le : samedi 15 février 2014 - 04:30:36

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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, 2012. <hal-00904216>

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