Tracking body and hands for gesture recognition: NATOPS aircraft handling signals database
Name
fg2011-Tracking.pdf
Size
8.37 MB
Format
Adobe PDF
Checksum (MD5)
6ebe651f4b8fe4d8a3b319fff0ec4141
Author(s)
Song, Yale
Demirdjian, David
Davis, Randall
Date Issued
March 2011
Journal
Proceedings of the Automatic Face & Gesture Recognition and Workshops (FG 2011)
Publisher
Institute of Electrical and Electronics Engineers
Citation
Song, Yale, David Demirdjian, and Randall Davis. Tracking Body and Hands for Gesture Recognition: NATOPS Aircraft Handling Signals Database. In Face and Gesture 2011, 500-506. Institute of Electrical and Electronics Engineers, 2011.
Version
Author's final manuscript
Abstract
We present a unified framework for body and hand tracking, the output of which can be used for understanding simultaneously performed body-and-hand gestures. The framework uses a stereo camera to collect 3D images, and tracks body and hand together, combining various existing techniques to make tracking tasks efficient. In addition, we introduce a multi-signal gesture database: the NATOPS aircraft handling signals. Unlike previous gesture databases, this data requires knowledge about both body and hand in order to distinguish gestures. It is also focused on a clearly defined gesture vocabulary from a real-world scenario that has been refined over many years. The database includes 24 body-and-hand gestures, and provides both gesture video clips and the body and hand features we extracted.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/FG.2011.5771448
