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Video surveillance systems are becoming very common nowadays. Cameras installed in many places are exposed to sabotage or tampering. This can be done by covering the camera lens, changing the focus of the camera lens or changing the camera position to prevent proper registration of the surveilled area. This paper describes a hardware implementation of a system that can detect these kind of events...
Pedestrian detection is an important feature in an advanced, automated video surveillance system. Unfortunately in most situations cameras are mounted in a way that, due to perspective, walking humans are occluded by each other or stationary objects and detecting a whole silhouette is not possible. But heads and shoulders are not occluded in most cases and can be used for object classification (human...
In the demo four video surveillance algorithms implemented on an FPGA platform, running in real-time are presented: detecting intrusions into protected areas, camera tamper detection, head and shoulders detection using LBP and SVM and head, people and bicycles detection using HOG and SVM.
FPGA devices are a perfect platform for implementing image processing algorithms. In the article, an advanced video system is presented, which is able to detect moving objects in video sequences. The detection method is using two algorithms. First of all, a multimodal background generation method allows reliable scene modelling in case of rapid changes in lighting conditions and small background movement...
Mitrion-C based implementations of three image processing algorithms: a look-up table operation, simple local thresholding and Sauvola's local thresholding are described. Implementation results, performance of the design and FPGA logic utilization are discussed.
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