Real-time multi-view bimanual gesture recognition
Author(s)
Poon, Geoffrey
Kwan, Kin Chung
Pang, Raymond Wai Man
Date Issued
2018
Related Publication(s)
Proceedings of the 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP)
Start page
19
End page
23
Abstract
This paper presents a learning-based solution to tackle the real-time gesture recognition of bimanual (two hands) gestures which is not well studied from the literature. To overcome the critical issue of hand-hand self occlusion problem common in bimanual gestures, multiple cameras from diversified views are used. A tailored multi-camera system is constructed to acquire multi-views bimanual gesture data, and data from each view is then fed into a separate classifier for learning. Thus, to ensemble results from these classifiers, we proposed a weighted sum fusion scheme of results from different classifiers. The weightings are optimized according to how well the recognition performed of the particular view. Our experiments show multiple-view results outperform single-view results.
SFU Affiliated Publication
Yes
Availability at SFU Library
No database links found.