Intelligent panoramic monitoring and hotspot close-up monitoring system and method

Abstract

The invention relates to an intelligent panoramic monitoring and hotspot close-up monitoring system and method. The intelligent panoramic monitoring and hotspot close-up monitoring system comprises a panoramic photographing module, a video infusion module, a video storage and display module, a video hotspot detection module, a hotspot information processing module and a close-up photographing module. The panoramic photographing module conducts panoramic monitoring photographing on scenes to generate a panoramic monitoring video. The video infusion module infuses the panoramic monitoring video and a close-up monitoring video to generate an infused monitoring video; the video storage and display module stores and displays the infused monitoring video. The video hotspot detection module conducts hotspot detection on the panoramic monitoring video to generate a hotspot coordinate signal and a serial number signal. The hotspot information processing module generates a rotating angle signal and a zoom signal. The close-up photographing module conducts rotation and zoom, and close-up monitoring is conducted on local hotspots. Compared with the prior art, by means of the system and method, panoramic monitoring can be achieved, hotspot close-up photographing can be achieved as well, the hotspots can be accurately detected through a mode identification method, the monitoring video is clear, and the storage capacity is small.

Description

technical field [0001] The invention relates to the fields of video monitoring and pattern recognition, in particular to an intelligent monitoring system and method that combines panoramic monitoring with close-up monitoring of hotspot areas and uses pattern recognition methods to trigger close-up monitoring. Background technique [0002] With the progress of society and the development of science and technology, the traditional video surveillance system can no longer meet the needs of modern surveillance. Traditional video surveillance systems usually use a camera to monitor a fixed area. When the surveillance area is large, this surveillance system can only obtain general information about the surveillance scene and cannot obtain detailed information such as faces and license plates. The monitoring system cannot clearly record and show the suspicious situations captured by the shooting to the monitoring personnel, which leads to the failure of the monitoring system to play...

AI Technical Summary

Problems solved by technology

The manual operation method requires real-time operation by monitoring personnel and cannot realize automatic monitoring, while the cruise monitoring method based on a fixed route is likely to miss important monitoring information

[0005] The above-mentioned solution menti

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