Home > Search Results: keywords:"crowd behavior|pedestrian groups|group detection|clustering"
Search:
Search Tips :: Advanced Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Detekce skupin v davech pomocí časoprostorových dat
 Říha, David ; Hartman, David (advisor) ; Neruda, Roman (referee)
This thesis addresses the challenge of social group detection in crowds, presenting an algorithm informed by sociological insights into common group formations among pedestrians. Our proposed algorithm demonstrates comparable performance to existing solutions - Time-sequence DBSCAN and Agglomerative Hierarchical Clustering with Hausdorff Distance, using the DIAMOR dataset for testing and comparison. Additionally, we introduce a validator tool potentially capable of refining results from existing algorithms based on a group shape criterion, leading to improved accuracy in identifying groups. Keywords: groups detection; clustering; group shape analysis; pedestrian behavior;
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English