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A detection method, device, equipment and medium for a traffic accident

A traffic accident and detection method technology, applied in the field of image processing, can solve problems such as low degree of intelligence, and achieve the effects of improving user experience, improving image processing efficiency, and shortening image processing time

Active Publication Date: 2022-04-12
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, limited by factors such as the number of personnel and energy, the manual method of determining the occurrence of traffic accidents has a lag
[0005] In addition, even if a traffic accident is discovered, the occurrence, confirmation, determination of responsibility, and joint damage assessment and notification of the traffic accident still all rely on the on-site confirmation of the traffic police, and the degree of intelligence is very low, so it takes a period of time for people to complete the processing. Solve the road occupation problem

Method used

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  • A detection method, device, equipment and medium for a traffic accident
  • A detection method, device, equipment and medium for a traffic accident
  • A detection method, device, equipment and medium for a traffic accident

Examples

Experimental program
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Effect test

Embodiment 1

[0085] figure 1 It is a schematic flow chart of a traffic accident detection method disclosed in Embodiment 1 of the present application. The embodiment of the present application can be applied to the scene of fast and timely detection of traffic accidents. The method can be executed by a traffic accident detection device, which can be implemented by software and / or hardware implementation, which can be integrated inside the electronic device. The method specifically includes the following steps:

[0086] S101. Extract at least one frame of static image from a surveillance video stream.

[0087] S102. Identify set features of a traffic accident scene from at least one frame of the static image.

[0088] Wherein, the monitoring video can be obtained by shooting with multiple devices such as a fixed-point camera, a vehicle-mounted camera, or a drone, which is not specifically limited in this embodiment. That is to say, the monitoring video obtained by shooting with multiple...

Embodiment 2

[0112] Figure 4 It is a schematic flow chart of a traffic accident detection method disclosed in Embodiment 2 of the present application. On the basis of Embodiment 1, this embodiment will further "identify the set traffic accident scene features from at least one frame of static image" Optimized to "if the static image is multiple frames, then identify the set traffic accident scene features from the multiple frames of the static image", the method specifically includes the following steps:

[0113] S401. Extract at least one frame of static image from a surveillance video stream.

[0114] S402. If the static image includes multiple frames, identify a static target and / or a dynamic target from the multiple frames of the static image as a target object.

[0115] It can be understood that, in this embodiment, the static target and / or the dynamic target refer to the static target; or refer to the dynamic target; or may also refer to the static target and the dynamic target.

...

Embodiment 3

[0160] Figure 6 It is a schematic flow chart of a traffic accident detection method disclosed in Embodiment 3 of the present application. On the basis of Embodiment 1 above, this embodiment further optimizes "determining the traffic accident detection result according to the identified characteristics of the traffic accident scene" as follows: "According to the identified characteristics of the traffic accident scene, if it is determined based on the set alarm rules that the alarm threshold is reached, an alarm notification is triggered", the method specifically includes the following steps:

[0161] S601. Extract at least one frame of static image from a surveillance video stream.

[0162] S602. Identify set traffic accident scene features from at least one frame of the static image.

[0163] S603. According to the identified characteristics of the traffic accident scene, if it is determined based on the set alarm rule that the alarm threshold is reached, an alarm notificat...

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Abstract

The embodiments of the present application disclose a traffic accident detection method, device, device and medium, which relate to an intelligent transportation technology in the field of image processing technology. The method includes: extracting at least one frame of static image from a monitoring video stream; identifying a set traffic accident scene feature from the at least one frame of the static image; and determining a traffic accident detection result according to the identified traffic accident scene feature. The embodiment of the present application improves the detection efficiency of traffic accidents and shortens the time-consuming for finding traffic accidents.

Description

technical field [0001] The embodiments of the present application relate to the field of image processing technology, and in particular to intelligent transportation technology. Background technique [0002] With the increase of the number of cars in cities and the improvement of road traffic efficiency, how to control traffic congestion has become an important issue in road traffic management. [0003] One of the causes of traffic jams is traffic accidents. When a traffic accident occurs, part or even all of the lanes will be occupied, and the handling of the traffic accident will take time, so that the phenomenon of occupying the road will continue for a period of time before it can be eliminated. Therefore, discovering and handling traffic accidents in time can be a way to alleviate traffic congestion. [0004] At present, the way of discovering and handling traffic accidents is still dominated by manual operation. On the one hand, traffic accidents are discovered by i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/017G08B21/00H04N7/18G06V20/52G06V20/40G06V10/764G06V10/40
CPCG08G1/0175G08B21/00H04N7/18G06V20/42G06V20/46G06V20/52G06F18/24
Inventor 苑辰
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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