Intelligent monitoring system and method capable of being used for video monitoring device
An intelligent monitoring system and video monitoring technology, applied in closed-circuit television systems, image data processing, instruments, etc., can solve the problems that the quality of monitoring cannot be guaranteed, the attention cannot be concentrated at all times, and the cost of human monitoring is high, so as to facilitate search and save Cost, effect of reducing required space
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Embodiment 1
[0041] like figure 1 As shown, the intelligent monitoring system that can be used for video surveillance equipment, including intelligent analysis subsystem and linkage alarm subsystem:
[0042] The intelligent analysis subsystem includes a moving target detection module, a moving target tracking module, a target behavior analysis module, a moving target classification module and an abnormality detection module; the linkage alarm subsystem includes a preview alarm module, a log storage module, a video storage module, an icon display module, Mail sending module and buzzer alarm module. When the analysis result of any module in the intelligent analysis subsystem triggers the linkage alarm subsystem, the preview alarm module triggers the log storage module or video storage module or icon display module or mail sending module or buzzer alarm module.
Embodiment 2
[0044] like figure 2 As shown, the intelligent monitoring method that can be used for video surveillance equipment includes the following steps:
[0045]S1. Obtain a video stream from DVR, NVR, IPC or other monitoring equipment, perform format conversion, noise reduction, scaling and other operations on each frame of the acquired video stream, and calculate the histogram information, color information, and texture information of the image at the same time And grayscale information, etc., compare the information similarity between video stream frames and frames, and judge whether there is an abnormality in the video stream according to whether the information difference between frames reaches the threshold; feed back the abnormality to the board end of the monitoring device
[0046] S2. Perform Gaussian mixture model modeling on the acquired video image, compare the current image with the image of the background model frame by frame, and classify the part of the current image ...
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