"GA102/03/0440" . . "25"^^ . . "Neuvedeno."@en . . . . "2009-01-15+01:00"^^ . . . "Rozpozn\u00E1v\u00E1n\u00ED lidsk\u00FDch aktivit pro automatick\u00E9 sledov\u00E1n\u00ED z videa" . . . "Recognizing human activities for automated video surveillance"@en . . "Automated video surveillance addresses real-time observation of human activities (typically) leading to higher-level description of their actions and interactions. The proposed project aims (a) at contributing to theory of automated video surveillancenamely in the activities interpretation, and (b) at gaining more practical experience in anticipation of even greater need of it in applications. The outcome of the project will be the ability to recognize human actions from video. We like to explore ourexperience in pattern recognition, in seeking in image databases, and 3D .scene reconstruction. Besides re-implementing selected state-of-the-art techniques, we will use Matas' recent idea of %22distinguished regions' to find salient featurescharacterizing subjects/objects in the scene, use this features in both tracking and recognition. The results of the system will be demonstrated by an experimental system automatically analyzing surveillance video in an indoor environment (e.g., in a"@en . "http://www.isvav.cz/projectDetail.do?rowId=GA102/03/0440"^^ . . . . . "1"^^ . "V projektu jsme \u0159e\u0161ili t\u0159i hlavn\u00ED \u00FAkoly. V prvn\u00EDm \u00FAkolu, tj. sledov\u00E1n\u00ED lid\u00ED ve videosekvenci, jsme vych\u00E1zeli ze zjednodu\u0161uj\u00EDc\u00EDho p\u0159edpokladu, \u017Ee sc\u00E9na je sledov\u00E1na nepohyblivou kamerou. Z\u00E1kladn\u00EDm p\u0159edpokladem na\u0161eho \u0159e\u0161en\u00ED byla reimplementace avylep\u0161ov\u00E1n"@cs . . . . "0"^^ . . "Three main taks were solved in the project. The first task was devoted to analysis of videosequences with moving people.\u00A0Our investigation was based on the simplifying assumption that the scene is observed by a\u00A0static camera.\u00A0We reimplemented adn improve"@en . "Sledov\u00E1n\u00ED pomoc\u00ED videokamer se zab\u00FDv\u00E1 pozorov\u00E1n\u00EDm aktivit lid\u00ED v re\u00E1ln\u00E9m \u010Dase. V\u00FDzkumnou v\u00FDzvou je pou\u017E\u00EDt videosekvenci k rozpozn\u00E1v\u00E1n\u00ED aktivit a iterakc\u00ED lid\u00ED. (a) P\u0159isp\u011Bjeme k teorii sledov\u00E1n\u00ED, rozpozn\u00E1v\u00E1n\u00ED a interpretaci z videosekvenc\u00ED a (b) z\u00EDsk\u00E1mepraktick\u00E9 zku\u0161enosti p\u0159i o\u010Dek\u00E1v\u00E1n\u00ED jejich v\u00FDznamn\u00E9 pot\u0159eby v aplikac\u00EDch. Chceme zu\u017Eitkovat na\u0161i badatelskou zku\u0161enost v rozpozn\u00E1v\u00E1n\u00ED, vyhled\u00E1v\u00E1n\u00ED v obrazov\u00FDch datab\u00E1z\u00EDch a trojrozm\u011Brn\u00E9 rekonstrukci sc\u00E9ny.Krom\u011B reimplementace vybran\u00FDch nejlep\u0161\u00EDch zn\u00E1m\u00FDchpostup\u016F chceme vyu\u017E\u00EDt novou my\u0161lenku J. Matase nazvanou %22naleziteln\u00E9 oblasti%22 k vyhled\u00E1v\u00E1n\u00ED p\u0159\u00EDznak\u016F, kter\u00E9 spolehliv\u011B charakterizuj\u00ED osoby i p\u0159edm\u011Bty ve sc\u00E9n\u011B. Pou\u017Eijeme je jak p\u0159i sledov\u00E1n\u00ED, tak p\u0159i rozpozn\u00E1v\u00E1n\u00ED. V\u00FDsledky budou demonstrov\u00E1nyexperiment\u00E1ln\u00EDm syst\u00E9mem (a) automaticky analyzuj\u00EDc\u00EDm video z vnit\u0159n\u00EDho prost\u0159ed\u00ED (nap\u0159. vestibulu stanice metra), (b) sleduj\u00EDc\u00EDm \u010Dlov\u011Bka p\u0159i \u010Dinnosti (nap\u0159. vsouvaj\u00EDc\u00EDho audiokazetu do p\u0159ehr\u00E1va\u010De; abychom uk\u00E1zali schopnost u\u010Dit se z p\u0159edveden\u00E9" . "0"^^ . "25"^^ . .