System Maintenance:
There may be intermittent impact on performance while updates are in progress. We apologize for the inconvenience.
By Topic

Real-time gesture recognition using Maskable Template Model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Watanabe, T. ; Labs. of Image Inf. Sci. & Technol., Osaka, Japan ; Chil-Woo Lee ; Tsukamoto, A. ; Yachida, M.

We describe a new method for real-time gesture recognition and its application. The key idea of the method is that we use multiple template models for specific feature parts of the body such as arms and estimate the pose of this part by comparing similarities of an input image to the models. To calculate the similarity for the part, we developed the Maskable Template Model (MTM) with which both masking and template matching operations are simultaneously completed. As an application of this method, we realize a real-time interactive system, Gesture Game System, which can activate the characters of a video game by gestures in real-time

Published in:

Multimedia Computing and Systems, 1996., Proceedings of the Third IEEE International Conference on

Date of Conference:

17-23 Jun 1996