Real-time camera tracking for Augmented Reality

Author

Yu, Jung-Jae ; Kim, Jae-Hean ; Kim, Hye-Mi ; Choi, Il ; Jeong, Il-Kwon

Author_Institution

Electron. & Telecommun. Res. Inst.

Volume

02

fYear

2009

fDate

15-18 Feb. 2009

Firstpage

1286

Lastpage

1288

Abstract

Real-time camera tracking is a system to estimate camera motion in real-time only given a image sequence in markerless background. It can be used in augmented reality application in which CG objects are inserted into live action plates by real-time. Proposed system is based on parallel processing and composed of two parts, they are feature tracking part, camera motion estimation part. In the feature tracking part, KLT features tracker is performed based on multi-core multi-thread processing using 4 qaudro CPU, total 16 CPU. In camera motion estimation part, camera motion and 3D location of each features are estimated using EKF.

Keywords

Kalman filters; augmented reality; cameras; image sequences; motion estimation; multi-threading; parallel processing; tracking; EKF; KLT features tracker; augmented reality; camera motion estimation; extended Kalman filter; image sequence; multicore multithread processing; parallel processing; real-time camera tracking; Augmented reality; Cameras; Character generation; Computer vision; Displays; Karhunen-Loeve transforms; Motion estimation; Real time systems; Simultaneous localization and mapping; Tracking; CG; Camera Tracking; EKF; KLT; Pre-viz; SLAM;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on

Conference_Location

Phoenix Park

ISSN

1738-9445

Print_ISBN

978-89-5519-138-7

Electronic_ISBN

1738-9445

Type

conf

Filename

4809649