Fixed area night fog all-weather color video imaging system and building method thereof

Abstract

The invention discloses a fixed area night fog all-weather color video imaging system and a building method thereof. The system comprises a visible light video collection system, a visible light image collection module, a background image updating module, a visible light background image bank, an infrared light video collection system, an infrared light image collection module, an image preprocessing module, an infrared light background image bank, an infrared light target detection module, an image registration module, a video fusion module, a video signal emitting module, an RTSP transmission module, and a display module. The system uses an improved algorithm integrating a mixed Gaussian model and a symmetric difference method as well as an imaging concept of fusion of the infrared video and visible light background image. After processing by a data processing center, the system can output a clear color video image at night, in fog weather or other weather with poor visibility, so as to realize the color effect of the infrared light video truly. The system is easy to realize, is low in cost, is easy to install, and realizes long-distance real-time monitoring.

Description

technical field [0001] The invention is applied to the real-time monitoring of major traffic facility areas in night fog weather, and in particular relates to an all-weather color video imaging system for night fog weather conditions in a fixed area based on multi-band imaging technology. Background technique [0002] With the rapid development of informatization, the public's awareness of security is increasing day by day. Video security monitoring has broad application prospects and universal significance in key prevention areas such as airports, warehouses, and transportation hubs, as well as in daily life. [0003] At present, most of the existing video surveillance systems use traditional, single-band imaging technology, which are mainly divided into the following categories: [0004] 1. Visible light imaging technology; [0005] 2. Infrared imaging technology; [0006] 3. Low-light imaging technology; [0007] 4. Laser imaging technology. [0008] Among the above-m...

AI Technical Summary

Problems solved by technology

The former can work normally in night fog conditions and has a long working distance, but the imaging is black and white grayscale images with poor contrast and low information content, which is not suitable for human viewing; the latter has a large price advantage, but the monitoring distance is very limited. And the imaging effect is poor in night foggy days, so it is mostly used for indoor monitoring

The third is low-light imaging technology, which can realize color imaging by using weak natural light, but is highly sensitive to strong light. Once encountering strong light, the image quality will drop sharply

The fourth type, laser imaging technology, irradiates the imaging target with a laser beam, and uses the reflected wave of the target or background for imaging, but it requires high peak power of the laser beam, narrow pulse width, and precise synchronization control technology, so it is difficult to realize , high cost

The above-mentioned single-band monitoring is restricted by weather and lighting factors, and the monitoring effect is greatly reduced. In low-visibility conditions such as night and fog, the signs of the accident cannot be clearly observed, and accurate information on the progress of the accident cannot be provided, which delays the best response. At the same time, it is difficult to meet the needs of all-weather monitoring in fixed areas

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