PT Unknown
AU Victor Ponce
   Hugo Jair Escalante
   Sergio Escalera
   Xavier Baro
TI Gesture and Action Recognition by Evolved Dynamic Subgestures
BT 26th British Machine Vision Conference
PY 2015
BP 129.1
EP 129.13
DI 10.5244/C.29.129
AB This paper introduces a framework for gesture and action recognition based on the evolution of temporal gesture primitives, or subgestures. Our work is inspired on the principle of producing genetic variations within a population of gesture subsequences, with the goal of obtaining a set of gesture units that enhance the generalization capability of standard gesture recognition approaches. In our context, gesture primitives are evolved over time using dynamic programming and generative models in order to recognize complex actions. In few generations, the proposed subgesture-based representationof actions and gestures outperforms the state of the art results on the MSRDaily3D and MSRAction3D datasets.
ER