Data fusion for three-dimensional tracking using particle techniques

Huiying Chen; Youfu Li

doi:10.1117/1.2835013

1 January 2008 Data fusion for three-dimensional tracking using particle techniques

Huiying Chen, Youfu Li

Author Affiliations +

Optical Engineering, Vol. 47, Issue 1, 016401 (January 2008). https://doi.org/10.1117/1.2835013

Abstract

Robustness and tracking speed are two important indices for evaluating the performance of real-time 3-D tracking. We propose a new approach to fuse sensing data of the most current observation into a 3-D visual tracker with particle techniques. With the proposed data fusion method, the importance density function in the particle filter can be designed to represent posterior states by particle crowds in a better way. This makes the tracking system more robust to noise and outliers. On the other hand, because particle interpretation is performed in a much more efficient fashion, the number of particles used in tracking is greatly reduced, which improves the real-time performance of the system. Simulation and experimental results verified the effectiveness of the proposed method.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Huiying Chen and Youfu Li "Data fusion for three-dimensional tracking using particle techniques," Optical Engineering 47(1), 016401 (1 January 2008). https://doi.org/10.1117/1.2835013

Published: 1 January 2008

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available