Face and gesture recognition using subspace method for human-robot interaction

Authors:
Md. Hasanuzzaman;T. Zhang;V. Ampornaramveth;M. A. Bhuiyan;Y. Shirai;H. Ueno
Affiliations:
Intelligent System Research Division, National Institute of Informatics, Tokyo, Japan;Intelligent System Research Division, National Institute of Informatics, Tokyo, Japan;Intelligent System Research Division, National Institute of Informatics, Tokyo, Japan;Jahangirnagor University, Dhaka, Bangladesh;Department of Computer Controlled Mechanical Systems, Osaka University, Suita, Japan;Intelligent System Research Division, National Institute of Informatics, Tokyo, Japan
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2004

Citing 8
Cited 2

High Performance Real-Time Gesture Recognition Using Hidden Markov Models

Proceedings of the International Gesture Workshop on Gesture and Sign Language in Human-Computer Interaction
Hand Detection and Tracking Using Pixel Value Distribution Model for Multiple-Camera-Based Gesture Interactions

KMN '02 Proceedings of the IEEE Workshop on Knowledge Media Networking
Hand segmentation using learning-based prediction and verification for hand sign recognition

CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Fast Tracking of Hands and Fingertips in Infrared Images for Augmented Desk Interface

FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
A Basic Hand Gesture Control System for PC Applications

AIPR '01 Proceedings of the 30th on Applied Imagery Pattern Recognition Workshop
Hand Gesture Recognition using Multi-Scale Colour Features, Hierarchical Models and Particle Filtering

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Two-Handed Gesture Tracking Incorporating Template Warping with Static Segmentation

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Eigenfaces for recognition

Journal of Cognitive Neuroscience

Adaptive visual gesture recognition for human-robot interaction using a knowledge-based software platform

Robotics and Autonomous Systems
Face and gesture-based interaction for displaying comic books

PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a vision-based face and gesture recognition system for human-robot interaction. By using subspace method, face and predefined hand poses are detected from the three largest skin-like regions that are segmented using YIQ color representation system. In this subspace method we consider separate eigenspaces for each class or pose. Gesture is recognized using the rule-based approach whenever the combination of three skin-like regions at a particular image frame matches with the predefined gesture. These gesture commands are sent to robot through TCP/IP network for human-robot interaction. Using subspace method pose invariant face recognition has also been addressed. The effectiveness of this method has been demonstrated by interacting with an entertainment robot named AIBO.