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.
Originalsprog | Engelsk |
---|---|
Titel | GW 2007 : The 7th International Workshop on Gesture in Human-Computer Interaction and Simulation |
Redaktører | Miguel Sales Dias, Ricardo Jota |
Antal sider | 2 |
Forlag | ADETTI/ISCTE |
Publikationsdato | 2007 |
Sider | 14-15 |
ISBN (Trykt) | 9789728862053 |
Status | Udgivet - 2007 |
Begivenhed | International Workshop on Gesture in Human-Computer Interaction and Simulation - Lisbon, Portugal Varighed: 23 maj 2007 → 25 maj 2007 Konferencens nummer: 7 |
Konference
Konference | International Workshop on Gesture in Human-Computer Interaction and Simulation |
---|---|
Nummer | 7 |
Land/Område | Portugal |
By | Lisbon |
Periode | 23/05/2007 → 25/05/2007 |