Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
FingARtips: gesture based direct manipulation in Augmented Reality
Proceedings of the 2nd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Martial arts in artificial reality
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Robust real-time upper body limb detection and tracking
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Body Part Detection for Human Pose Estimation and Tracking
WMVC '07 Proceedings of the IEEE Workshop on Motion and Video Computing
Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Real time multiple people tracking and pose estimation
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Locating human hands for real-time pose estimation from monocular video
Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology
Multiple people tracking and pose estimation with occlusion estimation
Computer Vision and Image Understanding
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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).