Camera tamper detection using wavelet analysis for video surveillance
Çetin, A. Enis
2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings
558 - 562
Item Usage Stats
MetadataShow full item record
It is generally accepted that video surveillance system operators lose their concentration after a short period of time and may miss important events taking place. In addition, many surveillance systems are frequently left unattended. Because of these reasons, automated analysis of the live video feed and automatic detection of suspicious activity have recently gained importance. To prevent capture of their images, criminals resort to several techniques such as deliberately obscuring the camera view, covering the lens with a foreign object, spraying or defocusing the camera lens. In this paper, we propose some computationally efficient wavelet domain methods for rapid camera tamper detection and identify some real-life problems and propose solutions to these. © 2007 IEEE.
Real life problems
Surveillance System (MSS)
Video surveillance system (VSS)
Published Version (Please cite this version)http://dx.doi.org/10.1109/AVSS.2007.4425371
Showing items related by title, author, creator and subject.
Gerek, Ömer. N.; Altunbaşak, Y. (SPIE, 1997-02)This paper describes a method for selecting key frames by using a number of parameters extracted from the MPEG video stream. The parameters are directly extracted from the compressed video stream without decompression. A ...
Baştan, Muhammet; Güdükbay, Uğur; Ulusoy, Özgür (IEEE, 2008-06)We describe a method to automatically extract important video objects for object-based indexing. Most of the existing salient object detection approaches detect visually conspicuous structures in images, while our method ...
Automatic detection of salient objects and spatial relations in videos for a video database system Sevilmiş, T.; Baştan M.; Güdükbay U.; Ulusoy, Ö. (Elsevier BV, 2008-10)Multimedia databases have gained popularity due to rapidly growing quantities of multimedia data and the need to perform efficient indexing, retrieval and analysis of this data. One downside of multimedia databases is the ...