LEADER 01704nam  2200385z- 450 
001 9910347048203321
005 20210211
010   $a1000043583
035   $a(CKB)4920000000102034
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40815
035   $a(oapen)doab40815
035   $a(EXLCZ)994920000000102034
100   $a20202102d2014      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aAnalysis and recognition of human actions with flow features and temporal models
210   $cKIT Scientific Publishing$d2014
215   $a1 online resource (XV, 183 p. p.)
311 08$a3-7315-0282-8 
330   $aThis work focuses the recognition of complex human activities in video data. A combination of new features and techniques from speech recognition is used to realize a recognition of action units and their combinations in video sequences. The presented approach shows how motion information gained from video data can be used to interpret the underlying structural information of actions and how higher level models allow an abstraction of different motion categories beyond simple classification.
610   $aBewegungserkennung
610   $aBewegungsmerkmale
610   $agenerative ModelleAction recognition
610   $agenerative models
610   $amotion features
610   $avideo analysis
610   $aVideoanalyse
700   $aKühne$b Hildegard$4auth$01314091
906   $aBOOK
912   $a9910347048203321
996   $aAnalysis and recognition of human actions with flow features and temporal models$93031691
997   $aUNINA