About: Who Knows Who - Inverting the Social Force Model for Finding Groups

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Social groups based on friendship or family relations are very common phenomena in human crowds and a valuable cue for a crowd activity recognition system. In this paper we present an algorithm for automatic on-line inference of social groups from observed trajectories of individual people. The method is based on the Social Force Model (SFM) - widely used in crowd simulation applications -- which specifies several attractive and repulsive forces influencing each individual relative to the other pedestrians and their environment. The main contribution of the paper is an algorithm for inference of the social groups (parameters of the SFM) based on analysis of the observed trajectories through attractive or repulsive forces which could lead to such behaviour. The proposed SFM-based method shows its clear advantage especially in more crowded scenarios where other state-of-the-art methods fail. The applicability of the algorithm is illustrated on an abandoned bag scenario. Social groups based on friendship or family relations are very common phenomena in human crowds and a valuable cue for a crowd activity recognition system. In this paper we present an algorithm for automatic on-line inference of social groups from observed trajectories of individual people. The method is based on the Social Force Model (SFM) - widely used in crowd simulation applications -- which specifies several attractive and repulsive forces influencing each individual relative to the other pedestrians and their environment. The main contribution of the paper is an algorithm for inference of the social groups (parameters of the SFM) based on analysis of the observed trajectories through attractive or repulsive forces which could lead to such behaviour. The proposed SFM-based method shows its clear advantage especially in more crowded scenarios where other state-of-the-art methods fail. The applicability of the algorithm is illustrated on an abandoned bag scenario. (en)
Title	Who Knows Who - Inverting the Social Force Model for Finding Groups Who Knows Who - Inverting the Social Force Model for Finding Groups (en)
skos:prefLabel	Who Knows Who - Inverting the Social Force Model for Finding Groups Who Knows Who - Inverting the Social Force Model for Finding Groups (en)
skos:notation	RIV/68407700:21230/11:00187147!RIV12-MSM-21230___
http://linked.open...avai/predkladatel	Fakulta elektrotechnická
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(7E10045)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Šochman, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	241748
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/11:00187147
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	social force model; social groups; crowd monitoring; surveillance (en)
http://linked.open.../riv/klicoveSlovo	surveillance crowd monitoring social groups social force model
http://linked.open...ontrolniKodProRIV	[93A169819BC8]
http://linked.open...v/mistoKonaniAkce	Barcelona
http://linked.open...i/riv/mistoVydani	Los Alamitos
http://linked.open...i/riv/nazevZdroje	2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Massive Sets of Heuristics for Machine Learning
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Šochman, Jan Hogg, D.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-11-06 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society Press
https://schema.org/isbn	978-1-4673-0063-6
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Who Knows Who - Inverting the Social Force Model for Finding Groups Who Knows Who - Inverting the Social Force Model for Finding Groups

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