Title :
Gesture recognition using position and appearance features
Author :
Agrawal, Tushar ; Chaudhuri, Subhasis
Author_Institution :
Indian Inst. of Technol., Mumbai, India
Abstract :
In this paper a scheme for recognizing hand gestures is presented using the output of a condensation tracker. The tracker is used to obtain a set of features. These features consisting of temporal evolution of the spatial moments form high dimensional feature vectors. The principal components of the feature trajectories are used to recognize the gestures.
Keywords :
feature extraction; gesture recognition; condensation tracker; hand gestures recognition; high dimensional feature vectors; spatial moments; Application software; Cameras; Handicapped aids; Haptic interfaces; Hidden Markov models; Human robot interaction; Humanoid robots; Image recognition; Telerobotics; Virtual reality;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1246628
