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

Date

2011-07-01

Author

Beyan, Cigdem
Yiğit, Ahmet
Temizel, Alptekin

Metadata

Show full item record

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

Item Usage Stats

174
views

0
downloads

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. (C) 2011 SPIE and IS&T. [DOI: 10.1117/1.3602204]

Subject Keywords

Surveillance

URI

https://hdl.handle.net/11511/31272

Journal

JOURNAL OF ELECTRONIC IMAGING

DOI

https://doi.org/10.1117/1.3602204

Collections

Graduate School of Informatics, Article

Suggestions

OpenMETU
Core

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 ...
Coverage in Sensor Networks When Obstacles Are Present Onur, Ertan; Delic, Hakan; Akarun, Lale (2006-01-01) In this paper, we propose a method to determine the quality of deployment in a surveillance wireless sensor network in an environment that contains obstacles. The maximum detection probability on the potential breach paths is used as the deployment quality measure. The watershed segmentation algorithm is applied on the graph formed by the iso-sensing curves to identify the possible breach paths. An algorithm is proposed to convert the watershed segmentation to an auxiliary graph which is then employed to de...
An unsupervised method for anomaly detection from crowd videos Guler, Puren; Temizel, Alptekin; Temizel, Tugba Taskaya (2013-01-01) Anomaly detection from crowd videos is an issue that is becoming more important due to the difficulties in maintaining the public security in crowded places. Surveillance videos has a significant role for enabling the real time analysis of the captured events occurring in crowded places. This paper presents a method that detects anomalies in crowd in real-time using computer vision and machine learning techniques. The proposed method consists of extracting the crowd behavior properties (velocity, direction)...
Automated crowd behavior analysis for video surveillance applications Güler, Püren; Temizel, Alptekin; Taşkaya Temizel, Tuğba; Department of Information Systems (2012) Automated analysis of a crowd behavior using surveillance videos is an important issue for public security, as it allows detection of dangerous crowds and where they are headed. Computer vision based crowd analysis algorithms can be divided into three groups; people counting, people tracking and crowd behavior analysis. In this thesis, the behavior understanding will be used for crowd behavior analysis. In the literature, there are two types of approaches for behavior understanding problem: analyzing behavi...
Abandoned object detection using thermal and visible band image fusion Termal ve görünür bant i̇mgeleri kullanilarak terk edilen nesne tespiti Yigit, Ahmet; Temizel, Alptekin (2010-12-01) 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 d...

Citation Formats

C. Beyan, A. Yiğit, and A. Temizel, “Fusion of thermal- and visible-band video for abandoned object detection,” JOURNAL OF ELECTRONIC IMAGING, pp. 0–0, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31272.