A new Kalman-filter-based framework for fast and accurate visual tracking of rigid objects

IEEE Transactions on Robotics

Volumn 24, Issue 5, 2008, Pages 1238-1251

  Yoon, Youngrock ^a,b   Kosaka, Akio ^a,c   Kak, Avinash C ^a  

^a PURDUE UNIVERSITY   (United States)

^b Tandent Vision Science Inc   (United States)

^c OLYMPUS CORPORATION   (Japan)

Author keywords

3 D pose estimation; Extended Kalman Filter (EKF); Object tracking; Visual servoing

Indexed keywords

AUTOMOBILE HARDWARE; AUTOMOBILE PARTS AND EQUIPMENT; CELLULAR RADIO SYSTEMS; CONTROL THEORY; EXTENDED KALMAN FILTERS; GESTURE RECOGNITION; KALMAN FILTERS; THREE DIMENSIONAL; VISUAL SERVOING;

3-D POSE ESTIMATION; ACCEPTANCE CRITERIONS; AUTOMOBILE ASSEMBLY LINES; FRAMES PER SECONDS; KALMAN-FILTER; MATCHINGS; OBJECT FEATURES; OBJECT MOTIONS; OBJECT MOVING; OBJECT TRACKING; PC HARDWARES; RIGID OBJECTS; ROTATIONAL ACCURACIES; TRANSLATIONAL ACCURACIES; UNCERTAINTY BOUNDS; VISUAL TRACKING;

WAVE FILTERS;

EID: 56049096715     PISSN: 15523098     EISSN: None     Source Type: Journal    
DOI: 10.1109/TRO.2008.2003281     Document Type: Article

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