A complete system for head tracking using motion-based particle filter and randomly perturbed active contour

N. Bouaynaya; Dan Schonfeld

doi:10.1117/12.587244

14 March 2005 A complete system for head tracking using motion-based particle filter and randomly perturbed active contour

N. Bouaynaya, Dan Schonfeld

Author Affiliations +

Proceedings Volume 5685, Image and Video Communications and Processing 2005; (2005) https://doi.org/10.1117/12.587244
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

Recent advances in multimedia and communication require techniques for accurately tracking objects in video sequences. We propose a complete system for head tracking and contour refinement. Our tracking approach is based on particle filtering framework. However, unlike existing methods that use prior knowledge or likelihood functions as proposal densities, we use a motion-based proposal. Adaptive Block Matching (ABM) algorithm is the motion estimation technique used. Several advantages arise from this choice of proposal. (i) Only few samples are propagated. (ii) The tracking is adaptive to different categories of motion (iii) Off-line motion learning is not needed. Following the tracking is the contour refinement step. We want to transform the parametric estimate representing the tracked head at a given time instant into an elastic contour delineating the head’s boundaries. We use an active contour framework based on a dynamic programming scheme. However active contours are very sensitive to parameter assignment and initial condition. Using the tracked parametric estimate, we create a set of randomly perturbed initial conditions. The optimal contour is then the one corresponding to the lowest energy. Our system demonstrates tracking a person’s head in complex environments and delineates its boundaries for future use.

Citation Download Citation

N. Bouaynaya and Dan Schonfeld "A complete system for head tracking using motion-based particle filter and randomly perturbed active contour", Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); https://doi.org/10.1117/12.587244

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