Research on the adaptive choice mechanism of proposal distribution in particle filter

Yongli Tang; Yan Jin; Jinxia Yu; Qian Zhao

doi:10.1117/12.2014200

13 March 2013 Research on the adaptive choice mechanism of proposal distribution in particle filter

Yongli Tang, Yan Jin, Jinxia Yu, Qian Zhao

Proceedings Volume 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing; 87831F (2013) https://doi.org/10.1117/12.2014200
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

Abstract

With the inherent deficiency analysis of particle filter algorithm, proposal distribution with adaptive choice mechanism is studied. The adaptive mechanisms for proposal distribution include adaptive proposal distribution revised by the information derived from step-by-step Monte Carlo samples, Gaussian approximation adaptive proposal distribution, shrinking / growing adaptive proposal distribution, adaptive proposal distribution combined with other methods. At last, the simulations based on single object tracking are implemented, and the performance of the particle filter with adaptive proposal distribution is verified.

Citation Download Citation

Yongli Tang, Yan Jin, Jinxia Yu, and Qian Zhao "Research on the adaptive choice mechanism of proposal distribution in particle filter", Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87831F (13 March 2013); https://doi.org/10.1117/12.2014200

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