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...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Kühne, Hildegard
Format:
Elektronisch E-Book
Veröffentlicht:
[Verlagsort nicht ermittelbar] KIT Scientific Publishing 2014
Zusammenfassung:
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
Umfang:
1 electronic resource (XV, 183 p. p.)
Anmerkungen:
ENGLISH
ISBN:
9783731502821
Zugangseinschränkungen:
Open Access
Schlagworte:
Electronic computers. Computer science
Links: