Motion Primitives for Action Recognition

Preben Fihl, Michael Boelstoft Holte, Thomas B. Moeslund

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Abstract

The number of potential applications has made automatic recognition of human actions a very active research area. Different approaches have been followed based on trajectories through some state space. In this paper we also model an action as a trajectory through a state space, but we represent the actions as a sequence of temporal isolated instances, denoted primitives. These primitives are each defined by four features extracted from motion images. The primitives are recognized in each frame based on a trained classifier resulting in a sequence of primitives. From this sequence we recognize different temporal actions using a probabilistic Edit Distance method. The method is tested on different actions with and without noise and the results show recognition rates of 88.7% and 85.5%, respectively.

OriginalsprogEngelsk
TitelGW 2007 : The 7th International Workshop on Gesture in Human-Computer Interaction and Simulation
RedaktørerMiguel Sales Dias, Ricardo Jota
Antal sider2
ForlagADETTI/ISCTE
Publikationsdato2007
Sider14-15
ISBN (Trykt)9789728862053
StatusUdgivet - 2007
BegivenhedInternational Workshop on Gesture in Human-Computer Interaction and Simulation - Lisbon, Portugal
Varighed: 23 maj 200725 maj 2007
Konferencens nummer: 7

Konference

KonferenceInternational Workshop on Gesture in Human-Computer Interaction and Simulation
Nummer7
Land/OmrådePortugal
ByLisbon
Periode23/05/200725/05/2007

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