Paper Info
Title
Real-time robust body part tracking for augmented reality interface
Abstract
We proposed real-time robust body part tracking for augmented reality interface that does not limit the user's freedom. The generality of the system was upgraded relative to body part tracking by establishing an ability to recognize details, such as, whether the user wears long sleeves or short sleeves. For precise body part tracking, we obtained images of hands, head, and feet separately via a single camera, and when detecting each body part, we separately chose appropriate features for specific parts. Using a calibrated camera, we transferred 2D detected body parts into an approximate 3D posture. In experiments conducted to evaluate the body part tracking module, the application with the proposed interface showed advanced hand tracking performance in real time(43.5fps).
Year
DOI
Venue
2009
10.1145/1670252.1670295
VRCAI
Keywords
Field
DocType
precise body part tracking,proposed interface,real-time robust body part,single camera,body part tracking module,body part,advanced hand tracking performance,specific part,augmented reality interface,body part tracking,augmented reality,real time
Computer vision,Computer graphics (images),Computer science,Simulation,Tracking system,Augmented reality,Artificial intelligence,Generality
Conference
Citations 
PageRank 
References 
4
0.46
8
Authors
3
Name
Order
Citations
PageRank
Jinki Jung1337.50
Kyusung Cho2457.29
Hyun S. Yang328835.12