Analysis and recognition of human actions with flow features and temporal models

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 fro...

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Bibliographic Details
Format: eBook
Language:English
Published: KIT Scientific Publishing 2014
Subjects:
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
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720 1 |a Kühne, Hildegard  |4 aut 
245 0 0 |a Analysis and recognition of human actions with flow features and temporal models 
260 |b KIT Scientific Publishing  |c 2014 
300 |a 1 online resource (XV, 183 p. p.) 
336 |a text  |b txt  |2 rdacontent 
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520 |a 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. 
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546 |a English 
653 |a Bewegungserkennung 
653 |a Bewegungsmerkmale 
653 |a generative ModelleAction recognition 
653 |a generative models 
653 |a motion features 
653 |a video analysis 
653 |a Videoanalyse 
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856 4 0 |u https://www.ksp.kit.edu/9783731502821  |7 0  |z Open Access: DOAB, download the publication