MULTIVIEWS DYNAMIC HAND GESTURE RECOGNITION AND CANONICAL CORRELATION ANALYSIS-BASED RECOGNITION

  • Đoàn Thị Hương Giang

Abstract

Nowaday, there have been many approaches to resolve the problems of
hand gesture recognition. Deployment of such methods in practical applications
still face to many issues such as in change of viewpoints, non-rigid hand shape,
various scales, complex background and small hand regions. In this paper, these
problems are considered of feature extractions on different view points as well as
shared correlation space between two views. In the framework, we
implemented hand-crafted feature for hand gesture representation on a private
view. Then, a canonical correlation analysis method (CCA) based techniques [1] is
then applied to build a common correlation space from pairs of views. The
performance of the proposed framework is evaluated on a multi-view dataset
with five dynamic hand gestures.
điểm /   đánh giá
Published
2019-09-10
Section
RESEARCH AND DEVELOPMENT