01704nam 2200385z- 450 9910347048203321202102111000043583(CKB)4920000000102034(oapen)https://directory.doabooks.org/handle/20.500.12854/40815(oapen)doab40815(EXLCZ)99492000000010203420202102d2014 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAnalysis and recognition of human actions with flow features and temporal modelsKIT Scientific Publishing20141 online resource (XV, 183 p. p.)3-7315-0282-8 This 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.BewegungserkennungBewegungsmerkmalegenerative ModelleAction recognitiongenerative modelsmotion featuresvideo analysisVideoanalyseKühne Hildegardauth1314091BOOK9910347048203321Analysis and recognition of human actions with flow features and temporal models3031691UNINA