A New Sense for Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions
Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions
Analysis of Pixel-Level Algorithms for Video Surveillance Applications
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Active Surveillance Using Dynamic Background Subtraction
Active Surveillance Using Dynamic Background Subtraction
Real-Time Adaptive Camera Tamper Detection for Video Surveillance
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Camera sabotage detection for surveillance systems
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
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One of the main characteristics of a video surveillance system is its reliability. To this end, it is needed that the images captured by the videocameras are an accurate representation of the scene. Unfortunately, some activities can make the proper operation of the cameras fail, distorting in some way the images which are going to be processed. When these activities are voluntary, they are usually called sabotage, which include partial o total occlusion of the lens, image defocus or change of the field of view.In this paper, we will analyze the different kinds of sabotage that could be done to a video surveillance system, and some algorithms to detect these inconveniences will be developed. The experimental results show good performance in the detection of sabotage situations, while keeping a very low false alarm probability.