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Street abnormal event detection method and device, equipment and medium

A technology of abnormal events and streets, applied in the field of artificial intelligence, can solve problems that affect user experience, low detection accuracy, false positives, etc.

Pending Publication Date: 2021-10-19
HUAWEI CLOUD COMPUTING TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0004] This application provides a method for detecting abnormal events in the street, which solves the problem that the detection accuracy is not high in related technologies, a large number of false positives are generated, and the user experience is affected

Method used

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  • Street abnormal event detection method and device, equipment and medium
  • Street abnormal event detection method and device, equipment and medium
  • Street abnormal event detection method and device, equipment and medium

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Embodiment Construction

[0075] The solutions in the embodiments provided in the present application will be described below with reference to the drawings in the present application.

[0076] The terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It should be understood that the terms used in this way can be interchanged under appropriate circumstances, and this is merely a description of the manner in which objects with the same attribute are described in the embodiments of the present application.

[0077] Events related to objects in a scene that are concerned in video surveillance applications or image surveillance applications mainly include presence events and motion events. The so-called presence event refers to the entry (appearance) and departure (disappearance) of a set type of object in the geographical area m...

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Abstract

The invention provides a street abnormal event detection method. The method comprises the steps: acquiring a target image and a reference image, wherein the street scene recorded by the reference image does not include abnormal event; inputting the target image and the reference image to a semantic difference extraction network to obtain a semantic difference region of the target image relative to the reference image; and acquiring a detection result according to the semantic difference region, wherein the detection result is used for representing whether the street scene recorded by the target image comprises an abnormal event or not. According to the method, the detection accuracy is improved, the false alarm rate is reduced, and the user experience is improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence (AI), and in particular to a method, device, device, and computer-readable storage medium for detecting abnormal events in streets. Background technique [0002] With the continuous development of artificial intelligence technology, especially the progress of deep learning in image processing tasks, more and more scenes use the method of capturing images or shooting videos, and then detecting specific events in the images or videos to achieve real-time automated monitoring. For example, in urban management scenarios, artificial intelligence technology is used to detect abnormal events such as street occupancy in street surveillance videos, thereby realizing intelligent street inspections. [0003] Currently, the industry mainly uses background modeling technology to detect abnormal events in streets in images or videos. Specifically, model each pixel in the image or vid...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/241
Inventor 谢奕胡鹏陆瑞智喻晓源陈普
Owner HUAWEI CLOUD COMPUTING TECH CO LTD
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