Title :
Hybrid visual tracking and model-based alignment using 6-DOF sensor
Author :
Fuji, Taiki ; Mitsukura, Yasue
Author_Institution :
Grad. Sch. of Bio-Applic. & Syst. Eng., Tokyo Univ. of Agric. & Technol., Tokyo, Japan
Abstract :
In this paper, we propose a hybrid visual tracking and model-based alignment using a six degree of freedom (6-DOF) sensor for augmented reality (AR). We use a head mounted display (HMD) with a 6-DOF sensor as user´s vision, and to acquire the corresponding data for being able to estimate the user´s head pose and movement. We combine use of the 6-DOF sensor and image processing. By using amount of the acceleration change and angular data obtained by the sensor, the target position and pose are estimated. Specifically, we track the alignment target using particle filter whose particles are sampled on the basis of the acquired change data from the sensor. Moreover, the target is tracked with a simplified plane model. In order to show the effectiveness of the proposed system, we conduct the experiment of tracking and model-based alignment when we applied the system to real space.
Keywords :
augmented reality; helmet mounted displays; object tracking; particle filtering (numerical methods); 6-DOF sensor; augmented reality; head mounted display; head pose; hybrid visual tracking; image processing; model based alignment; particle filter; simplified plane model; six degree of freedom sensor; target position; Augmented reality; Cameras; Estimation; Solid modeling; Target tracking; Visualization; 6-DOF sensor; Alignment; Tracking;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1