Video recognition based river tidal bore detection method

Abstract

The invention relates to a video recognition based river tidal bore detection method. In the method, tidal bore video information is acquired through video detection devices which are arranged along a river and is transmitted to a tidal bore monitoring center through a wireless network after subjected to analytical processing and recognition; and a tidal bore safety forecast is sent to each danger point on the upstream side of the river by the center according to the tidal bore information. A real-time video signal of the surface of the river is acquired through the video detection device; a video frame is processed; a mixture Gaussian background model is established; a background image is constructed; a moving object target is extracted by comparing a current frame of image with the background image while the background image is updated by using the Gaussian model, image elements of a moving object are calculated; and the existence of the tidal bore at a monitoring point is automatically recognized according to a preset threshold and a tidal bore image is transmitted to the monitoring center. By adopting the method, remote monitoring can be realized and safety of monitoring can be improved.

Description

technical field [0001] The invention belongs to the technical field of automation and relates to a video recognition-based real-time automatic detection method for river tide surges, which can be used for monitoring, forecasting and early warning of river tide surges. Background technique [0002] The ebb and flow of tides is caused by the difference in gravitational and centrifugal forces between the Earth and the Moon. In many estuaries in the world, ferocious tides are formed due to special geographical structures, such as the wonder of the world formed by the trumpet-shaped topography of Hangzhou Bay-the tide of the Qianjiang River. Due to the lack of understanding of the characteristics of river tides and the lack of accurate forecasting of the time when tides will reach dangerous points along the river, people's production and life along the river have brought certain destructiveness, and casualties and other incidents have occurred all year round. Although the hydrol...

AI Technical Summary

Problems solved by technology

Although the hydrological and water conservancy departments can forecast tide surges based on astronomical data, due to the influence of wind force, wind direction, and the special geography and evolution of the riverbed at various dangerous points along the river, the hydrological department's forecast time for tide surges and the actual arrival time of tide surges sometimes have a large error. 1 hour or more, which brings great safety hazards to related production and tide watching along the river

[0003] At present, the research on related technologies based on video recognition is relatively active at home and abroad, such as the monitoring and detection of moving vehicles in the traffic system, the detection and recognition of smoke in the forest system, and the pattern recognition of the movement status of people in the indoor system. However, there are few reports on the implementation of automatic monitoring and identification of tidal systems using video recognition technology. A hydrological forecasting method based on a combination of hydrological models with different mechanisms (200910234628.7) proposed a hydrological forecast method based on a combination of hydrological models with different mechanisms. According to the characteristics of the watershed, configure the hydrological forecasting model including the physical concept model and the system analysis model to achieve the effect of forecasting and early warning

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