http://www.cnr.it/ontology/cnr/individuo/prodotto/ID161251
Discovering Moving Flock Patterns among Pedestrians through Collective Coherence (Rapporti tecnici/preprint/working paper)
- Type
- Label
- Discovering Moving Flock Patterns among Pedestrians through Collective Coherence (Rapporti tecnici/preprint/working paper) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Wachowicz M.; Ong R.; Renso C.; Nanni M. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- Technical report, 2010. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
- ABSTRACT: Tracking technologies are able to provide high-resolution movement data that could advance research in different fields, such as tourism management. In this specific field, developing methods to extract moving flock patterns from these datasets is particularly relevant to enable us to improve our knowledge of visitors' behaviour and their impact on a tourist destination (e.g. recreational park or a historical city). Understanding moving flock patterns in tourist destinations is crucial for a good management of attractions and for designing sustainable development policies. However, 'flocking' has been usually associated with the form of collective movement of a large group of birds, fish, insects, and certain mammals as well. Very few research efforts have been devoted in detecting flock patterns associated with pedestrian movement. In the present work, we propose a moving flock pattern definition and a corresponding detection algorithm based on the notion of collective coher (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#supporto
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Wageningen University, the Netherlands, Department of Computer Science, University of Pisa, CNR-ISTI, Pisa (literal)
- Titolo
- Discovering Moving Flock Patterns among Pedestrians through Collective Coherence (literal)
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