Fusion of thermal- and visible-band video for abandoned object detection

Cigdem Beyan; Ahmet Yigit; Alptekin Temizel

doi:10.1117/1.3602204

1 July 2011 Fusion of thermal- and visible-band video for abandoned object detection

Cigdem Beyan, Ahmet Yigit, Alptekin Temizel

Author Affiliations +

Journal of Electronic Imaging, Vol. 20, Issue 3, 033001 (July 2011). https://doi.org/10.1117/1.3602204

Abstract

Timely detection of packages that are left unattended in public spaces is a security concern, and rapid detection is important for prevention of potential threats. Because constant surveillance of such places is challenging and labor intensive, automated abandoned-object-detection systems aiding operators have started to be widely used. In many studies, stationary objects, such as people sitting on a bench, are also detected as suspicious objects due to abandoned items being defined as items newly added to the scene and remained stationary for a predefined time. Therefore, any stationary object results in an alarm causing a high number of false alarms. These false alarms could be prevented by classifying suspicious items as living and nonliving objects. In this study, a system for abandoned object detection that aids operators surveilling indoor environments such as airports, railway or metro stations, is proposed. By analysis of information from a thermal- and visible-band camera, people and the objects left behind can be detected and discriminated as living and nonliving, reducing the false-alarm rate. Experiments demonstrate that using data obtained from a thermal camera in addition to a visible-band camera also increases the true detection rate of abandoned objects.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Cigdem Beyan, Ahmet Yigit, and Alptekin Temizel "Fusion of thermal- and visible-band video for abandoned object detection," Journal of Electronic Imaging 20(3), 033001 (1 July 2011). https://doi.org/10.1117/1.3602204

Published: 1 July 2011

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