DocumentCode
1671866
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
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
226
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958092
Filename
958092
Link To Document