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 SPIE and IST.

Fusion of thermal- and visible-band video for abandoned object detection / Beyan, C.; Yigit, A.; Temizel, A.. - In: JOURNAL OF ELECTRONIC IMAGING. - ISSN 1017-9909. - 20:3(2011), p. 033001. [10.1117/1.3602204]

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

Beyan C.;
2011-01-01

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 SPIE and IST.
2011
3
Beyan, C.; Yigit, A.; Temizel, A.
Fusion of thermal- and visible-band video for abandoned object detection / Beyan, C.; Yigit, A.; Temizel, A.. - In: JOURNAL OF ELECTRONIC IMAGING. - ISSN 1017-9909. - 20:3(2011), p. 033001. [10.1117/1.3602204]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/304297
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