Please use this identifier to cite or link to this item: http://103.99.128.19:8080/xmlui/handle/123456789/142
Title: Limitations when Improving Security Camera Video
Other Titles: 6th International Conference on Informatics, Electronics & Vision (ICIEV) & 7th International Symposium in Computational Medical and Health Technology (ISCMHT)
Authors: Seiichi Gohshil, Member, IEEE,
Keywords: Super Resolution; Motion Blur; Video; Image, Nonlinear Signal Processing;
Issue Date: 12-Nov-2017
Publisher: CSE, CUET
Series/Report no.: 874;
Abstract: Security is one of the most important things in our daily lives and the security business is a big industry. Security cameras are set in many areas in order to keep us safe. When a crime occurs, we often hear that police analyze the security camera footage. It takes long time and it is often the case that the footage is not helpful in the investigation at all. The reason is very simple. Many of the security camera images do not have sufficient resolution. Currently there are many super resolution (SR) technologies. In detective dramas technicians solve crimes using SR technologies turning blurry images taken with a security camera into sharp high resolution ones with a click of a button. However, in real life it is not so easy. In this paper we discuss the current issues and limitations of the SR technologies.
URI: http://103.99.128.10:8080/xmlui/handle/123456789/142
Appears in Collections:proceedings in CSE

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