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Automatic Tunnel Accident Detection method

An automatic detection and accident technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problem that video surveillance images cannot be paid attention to, and achieve important application value, good real-time performance, and high detection accuracy. Effect

Inactive Publication Date: 2019-01-15
江苏云光智慧信息科技有限公司
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AI Technical Summary

Problems solved by technology

[0002] The video surveillance system is the technical means that the tunnel operation and management system at home and abroad mainly relies on. At present, most of the operational security incidents are mainly based on manual observation of video surveillance images, and 90% or more of the video surveillance images cannot be focused on. It was found that operational security incidents are the main bottleneck of the existing video surveillance system

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  • Automatic Tunnel Accident Detection method

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Embodiment Construction

[0014] The following describes the implementation of the present invention through specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementations. , the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention.

[0015] The tunnel accident automatic detection method provided by the present invention comprises the following steps:

[0016] Step S101: collecting video data in the monitoring area and performing preprocessing;

[0017] Step S102: performing background modeling using a Gaussian mixture model, and separating background pixels from the original image;

[0018] Step S103: extracting a moving target from the surveillance video image;

[0019] Step S...

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Abstract

The invention provides a tunnel accident automatic detection method, which is mainly characterized by comprising the following steps: first, collecting video data of a monitoring area and carrying outpretreatment; 2, background pixel are separated from that original image by use a mixed Gaussian model for background modeling; 3, extracting a moving object from the surveillance video image; 4, recording the trajectory information of the moving object so as to recognize the information of the move object and marking the moving object; 5, tracking the marked moving object in the tunnel; 6, whenthe trajectory of the move target exceeds the set threshold, an alarm message is sent out. The tunnel accident automatic detection method provided by the invention can detect and track the moving objects such as vehicles in the tunnel omni-directionally, accurately and efficiently through the real-time monitoring of the tunnel, and can be applied to complex scenes with high detection accuracy andgood real-time performance, and has important application value.

Description

technical field [0001] The invention belongs to the technical field of security monitoring, in particular to a tunnel accident automatic detection method. Background technique [0002] The video surveillance system is the technical means that the tunnel operation and management system at home and abroad mainly relies on. At present, most of the operational security incidents are mainly based on manual observation of video surveillance images, and 90% or more of the video surveillance images cannot be focused on. It was found that operational security incidents are the main bottleneck of the existing video surveillance system. In order to solve the outstanding problems of tunnel operation safety management, improve tunnel safety operation efficiency, and ensure driving safety, it is necessary to provide an automatic detection method for tunnel operation safety events based on video recognition. Contents of the invention [0003] In view of this, the tunnel accident automat...

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Application Information

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IPC IPC(8): G06K9/00G06T7/246
CPCG06T7/246G06V20/44G06V20/41G06V2201/07
Inventor 胡晓晖林杰
Owner 江苏云光智慧信息科技有限公司
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