Title :
A gesture recognition technique for realistic images
Author :
Viblis, M.K. ; Kyriakopoulos, K.J.
Author_Institution :
Dept. of Mech. Eng., Nat. Tech. Univ. of Athens, Greece
fDate :
6/23/1905 12:00:00 AM
Abstract :
A gesture segmentation and classification methodology without restrictions regarding the presence of other objects is presented. The aim is to provide a framework in which application of the deformable templates method does not lead to difficult minimization problems, requiring simulated annealing solution procedures. Experiments with natural images of unknown gestures of various sizes, positions and directions have been conducted
Keywords :
gesture recognition; handicapped aids; image classification; image segmentation; natural scenes; realistic images; deaf-mute people; deformable templates; gesture classification; gesture recognition; gesture segmentation; natural images; realistic images; unknown gestures; Cameras; Deafness; Deformable models; Handicapped aids; Hidden Markov models; Humans; Image recognition; Instruments; Robots; Simulated annealing;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958092
