Classification aided cardinalized probability hypothesis density filter

Ramona Georgescu; Peter Willett

doi:10.1117/12.917729

17 May 2012 Classification aided cardinalized probability hypothesis density filter

Ramona Georgescu, Peter Willett

Proceedings Volume 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI; 83920F (2012) https://doi.org/10.1117/12.917729
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Target class measurements, if available from automatic target recognition systems, can be incorporated into multiple target tracking algorithms to improve measurement-to-track association accuracy. In this work, the performance of the classifier is modeled as a confusion matrix, whose entries are target class likelihood functions that are used to modify the update equations of the recently derived multiple models CPHD (MMCPHD) filter. The result is the new classification aided CPHD (CACPHD) filter. Simulations on multistatic sonar datasets with and without target class measurements show the advantage of including available target class information into the data association step of the CPHD filter.

Citation Download Citation

Ramona Georgescu and Peter Willett "Classification aided cardinalized probability hypothesis density filter", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83920F (17 May 2012); https://doi.org/10.1117/12.917729

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