Thermal and visible band image fusion for abondoned object dedection

Download

index.pdf

Date

2010

Author

Yiğit, Ahmet

Metadata

Show full item record

Item Usage Stats

210
views

59
downloads

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 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 thesis, visible band and thermal band cameras are used together to analyze the interactions between humans and other objects. Thermal images help classification of objects using their heat signatures. This way, people and the objects they carry or left behind can be detected separately. Especially, it is aimed to detect abandoned items and discriminate living or nonliving objects

Subject Keywords

Information systems, QA Theory of Equations 211-218

URI

http://etd.lib.metu.edu.tr/upload/3/12611720/index.pdf
https://hdl.handle.net/11511/19439

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

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 ...
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...
Mean-Shift Tracking for Surveillance Applications Using Thermal and Visible Band Data Fusion Beyan, Cigdem; Temizel, Alptekin (2011-04-28) Separate tracking of objects such as people and the luggages they carry is important for video surveillance applications as it would allow making higher level inferences and timely detection of potential threats. However, this is a challenging problem and in the literature, people and objects they carry are tracked as a single object. In this study, we propose using thermal imagery in addition to the visible band imagery for tracking in indoor applications (such as airports, metro or railway stations). We u...
Local Anomaly Detection in Crowded Scenes Using Finite-Time Lyapunov Exponent Based Clustering Öngün, Cihan; Temizel, Alptekin; Taşkaya Temizel, Tuğba (2014-08-29) Surveillance of crowded public spaces and detection of anomalies from the video is important for public safety and security. While anomaly detection is possible by detection and tracking of individuals in low-density areas, such methods are not reliable in high-density crowded scenes. In this work we propose a holistic unsupervised approach to cluster different behaviors in high density crowds and detect the local anomalies using these clusters. Finite-Time Lyapunov Exponents (FTLE) is used for analyzing th...
UNWANTED BEHAVIOUR DETECTION AND CLASSIFICATION IN NETWORK TRAFFIC Onem, Ismail Melih (2010-10-28) An Intrusion Detection System classifies activities at an unwanted intention and can log or prevent activities that are marked as intrusions. Intrusions occur when malicious activity and unwanted behaviour gain access to or affect the usability of a computer resource. During the last years, anomaly discovery has attracted the attention of many researchers to overcome the disadvantage of signature-based IDSs in discovering novel attacks, and KDDCUP'99 is the mostly widely used data set for the evaluation of ...

Citation Formats

A. Yiğit, “Thermal and visible band image fusion for abondoned object dedection,” M.S. - Master of Science, Middle East Technical University, 2010.