Image motion tracking by FRS state space model using SMC implementation of PHD filter

Norikazu Ikoma; Tsuyoshi Uchino; Hiroshi Maeda

doi:10.1117/12.631461

24 June 2005 Image motion tracking by FRS state space model using SMC implementation of PHD filter

Norikazu Ikoma, Tsuyoshi Uchino, Hiroshi Maeda

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59600F (2005) https://doi.org/10.1117/12.631461
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

This study is aimed at obtaining smoothed trajectory of feature points in dynamic image, where the feature points are extracted at each image frame with missing and false detection. The image scene contains independently moving multiple objects with occlusion and appearance. We develop a state space model using Finite Random Set (FRS) to cope with this situation since FRS is a set of random variables with the number of the variables also being random (integer) variable so it is suitable for representing the variable number of feature points caused by appearance/occlusion and missing/false detection. By estimating the state of the model using Sequential Monte Carlo (SMC) implementation of Probability Hypothesis Density (PHD) filter, we obtain smoothed trajectory of the feature points. PHD is 1st order moment of FRS, and it has a property that its integration yeilds the expected number of feature points in the integrated region. The SMC implementation gives approximated solution by weighted particles, where the number of particles varies depending on the number of feature points in the scene. Experiment of dynamic image demonstrates that proposed method successfully smoothed the trajectory of feature points responding to appearance and occlusion of objects without being affeted by missing and false detection.

Citation Download Citation

Norikazu Ikoma, Tsuyoshi Uchino, and Hiroshi Maeda "Image motion tracking by FRS state space model using SMC implementation of PHD filter", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59600F (24 June 2005); https://doi.org/10.1117/12.631461

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