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Method and device for detecting abnormal events in surveillance videos

A technology for abnormal events and monitoring video, applied in computer parts, instruments, characters and pattern recognition, etc., can solve the problems of poor adaptability of algorithm models, false alarms of algorithm models, and high false alarm rate, and achieve less false alarm rate. , improve the effect of adaptability

Inactive Publication Date: 2018-08-21
华鼎世纪(北京)国际科技有限公司
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Problems solved by technology

[0004] However, since abnormal behaviors may be different in different scenarios, this leads to considerable false positives and missing events in many algorithm models. Many algorithm models have poor adaptability and high false positive rates.

Method used

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  • Method and device for detecting abnormal events in surveillance videos
  • Method and device for detecting abnormal events in surveillance videos
  • Method and device for detecting abnormal events in surveillance videos

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Embodiment Construction

[0067] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0068] figure 1 It is a flowchart of an embodiment of the method for detecting abnormal events in the monitoring video of the present application, such as figure 1 As shown, the method for detecting abnormal events in the surveillance video of this embodiment may specifically include the following steps:

[0069] 100. According to the pre-built training model, detect whether the featur...

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Abstract

The invention relates to a method and device for detecting abnormal events in surveillance videos. The method includes the steps that according to a pre-built training model, whether to-be-detected features of a received target surveillance video are matched with the training model or not is detected; if not, it is determined that an abnormal event exists in the target surveillance video; according to the abnormal event, an early warning signal is generated and output, wherein the training model is obtained by training based on multiple angles of the abnormal event expression form, and / or thetraining model is obtained by training based on a locality-sensitive hash function in combination with a Bloom filter algorithm. By means of the technical scheme, the adaptability of detecting abnormal events in surveillance videos can be improved, and the false alarm rate can be reduced.

Description

technical field [0001] The present application relates to the field of video surveillance, in particular to a method and device for detecting abnormal events in surveillance video. Background technique [0002] With the development of social economy and electronic technology and the growth of people's safety awareness, video surveillance technology has developed rapidly, and the intelligence of video surveillance system is an inevitable demand for the development of surveillance technology. [0003] In related technologies, for detection methods of abnormal events in surveillance video, most of them set corresponding algorithm models for specific scenarios to analyze the surveillance video, so as to determine whether there are abnormal events in the surveillance video. [0004] However, since abnormal behaviors may be different in different scenarios, this leads to considerable false positives and missing events in many algorithm models. Many algorithm models have poor adapt...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/44G06V20/48G06V20/40G06V20/52G06F18/22G06F18/214
Inventor 曹立松
Owner 华鼎世纪(北京)国际科技有限公司
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