Object tracking using cluster of elastically linked feature trackers

Andrew Cilia

doi:10.1117/1.2931494

Abstract

The problem of deformable objects in complex, cluttered environments is addressed. This approach, called the Cluster Tracker, concentrates on sectioning and tracking small features rather than the whole image as more conventional trackers do. Results indicate that the Cluster Tracker exhibits higher tracking reliability in heavily cluttered environments due to its ability to maintain track lock on objects even when they are partially obscured. The core of this method is based on an elastic matrix framework that supports a flexible structured model of the target. This approach allows the tracker to follow deformations of the target’s body shape and to estimate the location of occluded features.

Citation Download Citation

Andrew Cilia, "Object tracking using cluster of elastically linked feature trackers," Journal of Electronic Imaging 17(2), 023019 (1 April 2008). https://doi.org/10.1117/1.2931494 . Submission:

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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: $20.00

Non-members: $25.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years