A system for person-independent hand posture recognition against complex backgrounds

被引:130
作者
Triesch, J [1 ]
von der Malsburg, C
机构
[1] Univ Calif San Diego, Dept Cognit Sci, La Jolla, CA 92093 USA
[2] Ruhr Univ Bochum, Inst Neuroinformat, D-44780 Bochum, Germany
[3] Univ So Calif, Lab Computat & Biol Vis, Los Angeles, CA 90089 USA
关键词
computer vision; human computer interaction; human robot interaction; hand posture recognition; gesture recognition; object recognition; segmentation; complex backgrounds; elastic graph matching; Gabor wavelets;
D O I
10.1109/34.977568
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A computer vision system for person-independent recognition of hand postures against complex backgrounds is presented. The system Is based on Elastic Graph Matching (EGM), which was extended to allow for combinations of different feature types at the graph nodes.
引用
收藏
页码:1449 / 1453
页数:5
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