Using egocentric vision to achieve robust inertial body tracking under magnetic disturbances

2011 10th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2011

Volumn , Issue , 2011, Pages 103-109

  Bleser, Gabriele ^a   Hendeby, Gustaf ^a   Miezal, Markus ^a  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

G.3 Mathematics of Computing : PROBABILITY AND STATISTICS; Kinematics and dynamics,Sensors I.2.10 ARTIFICIAL INTELLIGENCE : Vision and Scene Understanding; Markov processes,Multivariate statistics,Probabilistic algorithms, Reliability and life testing,Statistical computing, Time series analysis I.2.9 ARTIFICIAL INTELLIGENCE : Robotics; Motion,Sensor fusion,Tracking; Motion,Video analysis I.4 IMAGE PROCESSING AND COMPUTER VISION : Scene Analysis

Indexed keywords

APPLICATION CONTEXTS; BODY FRAMES; BODY TRACKING; CALIBRATION PROCEDURE; INDUSTRIAL ENVIRONMENTS; KINEMATICS AND DYNAMICS,SENSORS I.2.10 [ARTIFICIAL INTELLIGENCE]: VISION AND SCENE UNDERSTANDING; MAGNETIC DISTURBANCE; MANIPULATION TASK; MOTION CAPTURING; MOTION TRACKING; MOTION,VIDEO ANALYSIS I.4 [IMAGE PROCESSING AND COMPUTER VISION]: SCENE ANALYSIS; ON-BODY; PROBABILITY AND STATISTICS; RECURSIVE FILTERING; SENSOR FUSION; TASK SPACE; USER ASSISTANCE; VISUAL DETECTION;

ARTIFICIAL INTELLIGENCE; AUGMENTED REALITY; BODY SENSOR NETWORKS; COMPUTER VISION; FILTRATION; INDUSTRY; MARKOV PROCESSES; RELIABILITY ANALYSIS; SENSOR NETWORKS; TIME SERIES; TIME SERIES ANALYSIS;

MULTIVARIANT ANALYSIS;

EID: 84055190020     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISMAR.2011.6092528     Document Type: Conference Paper

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