Fusing concurrent visible and infrared videos for improved tracking performance

Alex L. Chan; Stephen R. Schnelle

doi:10.1117/1.OE.52.1.017004

7 January 2013 Fusing concurrent visible and infrared videos for improved tracking performance

Alex L. Chan, Stephen R. Schnelle

Author Affiliations +

Optical Engineering, Vol. 52, Issue 1, 017004 (January 2013). https://doi.org/10.1117/1.OE.52.1.017004

Abstract

Visible and infrared video cameras are the most common imaging sensors used for video surveillance systems. Fusing concurrent visible and infrared imageries may further improve the overall detection and tracking performance of a video surveillance system. We performed image fusion using 13 pixel-based image fusion algorithms and examined their effects on the detection and tracking performance of a given target tracker. We identified five fusion methods that produced significantly better performance, three of which also managed to achieve that with a relatively high efficiency.

Citation Download Citation

Alex L. Chan and Stephen R. Schnelle "Fusing concurrent visible and infrared videos for improved tracking performance," Optical Engineering 52(1), 017004 (7 January 2013). https://doi.org/10.1117/1.OE.52.1.017004

Published: 7 January 2013

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