Efficient Hand Articulations Tracking Using Adaptive Hand Model and Depth Map

Byeongkeun Kang; Yeejin Lee; Truong Q. Nguyen

doi:10.1007/978-3-319-27857-5_53

ScienceGate Book Chapters

BOOK-CHAPTER

Efficient Hand Articulations Tracking Using Adaptive Hand Model and Depth Map

Byeongkeun Kang Yeejin Lee Truong Q. Nguyen

Year: 2015 Lecture notes in computer science Pages: 586-598 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-27857-5_53

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Initialization Artificial intelligence Computer vision Tracking (education) Wearable computer Computation Tracking system Frame rate Pixel Augmented reality Kalman filter Algorithm Embedded system

Metrics

Cited By

0.90

FWCI (Field Weighted Citation Impact)

Refs

0.71

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gaze Tracking and Assistive Technology

Physical Sciences → Computer Science → Human-Computer Interaction

Efficient Hand Articulations Tracking Using Adaptive Hand Model and Depth Map

Metrics

Citation History

Topics

Related Documents

Efficient model-based 3D tracking of hand articulations using Kinect

3D Hand Tracking Using Depth Sensors

An optical sensor for tracking hand articulations

Evolutionary Quasi-Random Search for Hand Articulations Tracking

Robot hand tracking using adaptive fuzzy control