Paper Info
Title
User recognition based on continuous monitoring and tracking
Abstract
This paper presents a user recognition system, using face, height, and clothes color features under the special assumption that is a user is monitored and tracked. In real human-robot interaction situation, all information cannot be provided at the same time and some parts of frames in a video have no clues at all. In the proposed system, tracking is an important feature to recognize a user because data in the previous frames can be utilized. We propose an information update method that efficiently updates similarity results. This system is tested using the movie clips acquired under the unconstrained environment including illumination variation, several distance from a camera to the user, and various view types of human body.
Year
DOI
Venue
2011
10.1145/1957656.1957712
HRI
Keywords
Field
DocType
video signal processing,clothes color features,special assumption,user recognition system,monitoring,information update method,human-robot interaction,camera,movie clip,hri,image recognition,image sensors,clothes color feature,real human-robot interaction situation,tracking,proposed system,human body,update,important feature,illumination variation,continuous tracking,continuous monitoring,previous frame,user recognition,image colour analysis,databases,motion pictures,human robot interaction,robots,face recognition,face
Facial recognition system,Computer vision,Recognition system,Computer science,Human–computer interaction,Continuous monitoring,Artificial intelligence,Robot,CLIPS
Conference
ISSN
ISBN
Citations 
2167-2121 E-ISBN : 978-1-4503-0561-7
978-1-4503-0561-7
2
PageRank 
References 
Authors
0.49
4
3
Name
Order
Citations
PageRank
Hye-jin Kim1516.18
Ho-sub Yoon2383.28
Jaehong Kim319422.43