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In this paper a hardware implementation of the state-of-the-art PBAS (Pixel-Based Adaptive Segmenter) foreground object detection algorithm in FPGA is presented. This background modelling and subtraction technique is using novel ideas which improve the detection results. In this work a research is presented that determines which parts of the original algorithm need to be adjusted and modified to allow...
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...
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...
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