Abandoned object detection using thermal and visible band image fusion Termal ve görünür bant i̇mgeleri kullanilarak terk edilen nesne tespiti

Date

2010-12-01

Author

Yigit, Ahmet
Temizel, Alptekin

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Packages that are left unattended in public spaces are a security concern and timely detection of these packages is important for prevention of potential threats. However continuous surveillance of such places is difficult. Therefore, it is important to aid operators with automatic detection of abandoned items. Most of the methods define abandoned items as items newly added to the scene and stayed stationary for a predefined time. Hence other stationary objects, such as people sitting on a bench, are also detected as suspicious objects resulting in a high number of false alarms. These false alarms could be prevented by discriminating suspicious items as living/nonliving objects. In this paper, a system using a thermal camera in addition to a visible band camera is proposed. By analysis of information from different cameras, people and the objects left behind can be detected separately to reduce the false alarm rate.

Subject Keywords

Adaptation model, Surveillance, Cameras, Object detection, Pattern recognition, Image color analysis, Visualization

URI

https://hdl.handle.net/11511/44914

DOI

https://doi.org/10.1109/siu.2010.5654466

Collections

Graduate School of Informatics, Conference / Seminar

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Thermal and visible band image fusion for abondoned object dedection Yiğit, Ahmet; Temizel, Alptekin; Department of Information Systems (2010) Packages that are left unattended in public spaces are a security concern and timely detection of these packages is important for prevention of potential threats. Operators should be always alert to detect abandoned items in crowded environments. However, it is very difficult for operators to stay concentrated for extended periods. Therefore, it is important to aid operators with automatic detection of abandoned items. Most of the methods in the literature define abandoned items as items newly added to the ...
Fusion of thermal- and visible-band video for abandoned object detection Beyan, Cigdem; Yiğit, Ahmet; Temizel, Alptekin (2011-07-01) 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 ...
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Anomaly detection using sparse features and spatio-temporal hidden markov model for pedestrian zone video surveillance Gündüz, Ayşe Elvan; Taşkaya Temizel, Tuğba; Temizel, Alptekin; Department of Information Systems (2014) Automated analysis of crowd behavior for anomaly detection has become an important issue to ensure the safety and security of the public spaces. Public spaces have varying people density and as such, algorithms are required to work robustly in low to high density crowds. Mainly, there are two different approaches for analyzing the crowd behavior: methods based on object tracking where individuals in a crowd are tracked and holistic methods where the crowd is analyzed as a whole. In this work, the aim is to ...

Citation Formats

A. Yigit and A. Temizel, “Abandoned object detection using thermal and visible band image fusion Termal ve görünür bant i̇mgeleri kullanilarak terk edilen nesne tespiti,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/44914.