Study on the particle-filter-based motion filtering algorithm for digital image stabilization systems

Liquan Dong; Desen Yin; Yuejin Zhao; Mei Hui; Xiaoxiao Zhou

doi:10.1117/12.834931

24 November 2009 Study on the particle-filter-based motion filtering algorithm for digital image stabilization systems

Liquan Dong, Desen Yin, Yuejin Zhao, Mei Hui, Xiaoxiao Zhou

Proceedings Volume 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology; 75130U (2009) https://doi.org/10.1117/12.834931
Event: International Conference on Optical Instrumentation and Technology, 2009, Shanghai, China

Abstract

Towards to the existent problems in current motion filtering algorithms such as the low-pass filter, the Kalman filter and the extended Kalman filter. We proposed a novel motion filtering algorithm base on particle filter to separate random jitter from the global motion vectors. In this method, the variation of global motion parameters are regarded as the state-variable of system, the uniform motion model of camera is used, and the motion filtering is carried out to dynamic image sequences according to the features of digital image stabilization systems. Experimental results prove that this particle-filter-based motion filtering algorithm can achieve real-time filtering effect, and the filtering effect can be affected by the number of the particles only and almost irrespectively with other factors. This method can be used agilely and is very suitable for digital image stabilization systems application. We realized the programs based on the TI TMS320C6416DSP processing chip and got very perfect experiment results.

Citation Download Citation

Liquan Dong, Desen Yin, Yuejin Zhao, Mei Hui, and Xiaoxiao Zhou "Study on the particle-filter-based motion filtering algorithm for digital image stabilization systems", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75130U (24 November 2009); https://doi.org/10.1117/12.834931

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Particles

Filtering (signal processing)

Particle filters

Image filtering

Digital imaging

Optical filters

Digital filtering

Show All Keywords

Keywords/Phrases

Search In:

Publication Years