A Algorithm for Static Gesture recognition Using combination of object features

DOI

10.2991/iccsee.2013.118How to use a DOI?

Keywords

Gesture Recognition combined features static gesture template-based match

Abstract

Proposed a static gesture recognition method for identifying characteristics of the object in combination. With the feature vector composed of five features, such as the number of fingers, gesture outline convex defect characteristics, the length and area of contour and Hu matrix, we adopted the template-matching method to conduct the matching of featured parameters. Experiments show that the method successfully recognized static gestures under complex background and could reduce the impact of environmental change simultaneously.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hong Duan
AU  - Yang Luo
PY  - 2013/03
DA  - 2013/03
TI  - A Algorithm for Static Gesture recognition Using combination of object features
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 461
EP  - 464
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.118
DO  - 10.2991/iccsee.2013.118
ID  - Duan2013/03
ER  -