Paper Info
Title
Real Time Continuous Tracking of Dynamic Hand Gestures on a Mobile GPU.
Abstract
Hand gesture recognition is an expansive and evolving field. Previous work addresses methods for tracking hand gestures with specialty gaming/desktop environments in real time. The method proposed here focuses on enhancing performance for mobile GPU platforms with restricted resources by limiting memory use/transfers and by reducing the need for code branches. An encoding scheme has been designed to allow contour processing typically used for finding fingertips to occur efficiently on a GPU for non-touch, remote manipulation of on-screen images. Results show high resolution video frames can be processed in real time on a modern mobile consumer device, allowing for fine grained hand movements to be detected and tracked.
Year
DOI
Venue
2017
10.1007/978-3-319-70353-4_5
ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS (ACIVS 2017)
Keywords
Field
DocType
Tracking,Hand gesture recognition,Dynamic gestures,GPU computing,Mobile computing
Mobile computing,Computer vision,Computer graphics (images),Computer science,Gesture,Gesture recognition,General-purpose computing on graphics processing units,Artificial intelligence,Expansive,Limiting,Encoding (memory)
Conference
Volume
ISSN
Citations 
10617
0302-9743
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Robert Prior100.34
David W. Capson220729.98
Alexandra Branzan Albu313923.17