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Traffic accident detection method and device

A technology for traffic incidents and detection methods, applied in traffic flow detection, traffic control systems, traffic control systems for road vehicles, etc. problems, to achieve the effect of reducing work intensity, improving accuracy, and saving human and material resources

Active Publication Date: 2015-07-29
NEUSOFT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This traffic event monitoring method consumes a lot of manpower and material resources
Moreover, due to the limited energy of monitoring personnel, it is easy to cause false positives and false negatives of traffic events.

Method used

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  • Traffic accident detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0080] figure 1 It is a schematic flowchart of the traffic event detection method provided by Embodiment 1 of the present invention. Such as figure 1 As shown, the traffic incident detection method includes the following steps:

[0081] S101. Acquiring traffic monitoring video images collected when the camera is in a preset position:

[0082] Control the camera installed on the road to turn on, so that the camera collects road condition information on the road. Since the camera is usually installed on the pan / tilt, the camera can be installed at the specified preset position according to the requirement. When the camera is turned on, the camera can collect road condition information and upload the collected road condition information to the intelligent monitoring center, and the intelligent monitoring center can obtain the traffic monitoring video images collected when the camera is in the preset position.

[0083] S102. Establishing a vehicle trajectory model according to...

Embodiment 2

[0160] image 3 It is a schematic flow chart of the traffic incident detection method provided in Embodiment 2 of the present invention, as image 3 As shown, the traffic incident detection method includes the following steps:

[0161] S301. Acquiring traffic monitoring video images collected when the camera is in a preset position:

[0162] This step is the same as step S101 in the first embodiment. For the sake of brevity, no detailed description is given here. For details, refer to the description of the first embodiment.

[0163] S302. Establish a vehicle surrounding environment model according to the traffic monitoring video image:

[0164] like Figure 4 As shown, this step specifically includes the following steps:

[0165] S41. Select the vehicle and the surrounding environment from the traffic monitoring video image:

[0166] The vehicles and surrounding environment parts are selected from the traffic monitoring video images by using conventional technical means in...

Embodiment 3

[0193] It should be noted that the working modes of the intelligent patrol monitoring system described in the embodiment of the present invention include an automatic patrol monitoring mode and a manual monitoring mode. Under normal circumstances, the intelligent patrol monitoring system is in the automatic patrol monitoring mode, and it will only be in the manual monitoring mode when manual intervention is required in special cases such as traffic incidents.

[0194] Figure 5 It is a schematic flowchart of a method for detecting traffic incidents by using an intelligent round-robin monitoring method provided by Embodiment 3 of the present invention. like Figure 5 As shown, the method for detecting traffic incidents using the intelligent patrol monitoring method includes the following steps:

[0195] S501. Adjust the shooting angle of the camera to reach a preset preset position, and regard the preset preset position as the current preset position of the camera:

[0196] ...

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Abstract

The invention provides a traffic accident detection method and device. The method comprises the following steps: obtaining a traffic monitoring video image which is acquired at a pre-set position by a camera; establishing a vehicle track model and / or a vehicle surrounding environment model according to the traffic monitoring video image; and detecting a traffic accident according to the vehicle track model and a pre-established road surface structure model, and / or detecting a traffic accident according to the vehicle surrounding environment model and the pre-established road surface structure model, wherein the road surface structure model is a model which is established according to a monitoring video image without the traffic accident on the road surface. The automatic traffic accident detection method adopting a traffic accident detection system saves a lot of manpower and material resources, and the working intensity of monitoring personnel is alleviated. The risks of incorrect report and missed report of the traffic accident, caused by the fact that the effort is not enough, do not occur, so that the accuracy of detecting the traffic accident is improved by the detection method.

Description

technical field [0001] The invention relates to the field of road monitoring, in particular to a traffic event detection method and device. Background technique [0002] Road monitoring system plays an important role in public security prevention and control. In order to obtain road traffic conditions in real time, road monitoring systems are installed on some important road sections, and the real-time road conditions are captured by cameras, and then the captured images are uploaded to the road monitoring command center in real time. [0003] In the existing road monitoring system, the monitoring personnel of the road monitoring command center observe the uploaded monitoring video images in all directions of the road by operating the cloud platform, and artificially judge the occurrence of traffic incidents by observing the monitoring video images. This traffic event monitoring method consumes a large amount of manpower and material resources. Moreover, due to the limited...

Claims

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0175
Inventor 王宏伟邹博陈苏依刘秦吴昊刘玉洁苗建冯天娇包宇
Owner NEUSOFT CORP
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