A method and device for online detection of abnormal video events
A technology of abnormal events and detection methods, which is applied in the field of video analysis, can solve the problems of low efficiency and accuracy of video abnormal events, achieve the goal of improving filtering efficiency and discrimination accuracy, improving monitoring efficiency and accuracy, and improving detection efficiency Effect
Active Publication Date: 2019-05-28
PEKING UNIV
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[0005] Aiming at the defects of the prior art, the present invention provides a method and device for online detection of abnormal video events, which can solve the problem of low efficiency and accuracy of online detection of abnormal video events in the prior art
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[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0064] figure 1 It is a schematic flow chart of an online detection method for video abnormal events in an embodiment of the present invention, as figure 1 As shown, the method includes the following steps:
[0065] S1: For the continuously input video stream to be predicted, a check is performed every preset time length, and the time point of each check is used as an update node.
[0066] Specifically, as figure 2 As shown, for the continuously input vide...
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The present invention provides a method and device for online detection of abnormal video events. The method includes: checking the video stream to be predicted continuously input every preset time length, and using the time point of each check as an update node ; Between every two consecutive update nodes, use a preset length sliding window to continuously sample the input video stream to be predicted, and use a preset filtering model to filter the sampled samples, so that the filtered The remaining samples of the buffer are added to the buffer; the samples in the buffer are sorted, so that the normal samples and abnormal samples in the samples are added to the normal sample pool and the abnormal sample pool respectively; at each update node, according to The samples in the normal sample pool and the abnormal sample pool update the filtering model. The invention can improve the monitoring efficiency and accuracy of abnormal video events.
Description
technical field [0001] The invention relates to the technical field of video analysis, in particular to a method and device for online detection of abnormal video events. Background technique [0002] How to automatically detect abnormal events in video streams is one of the most applicable problems in the field of video analysis. Traditional abnormal event detection methods need to predefine the types of abnormal events to be detected, and need to collect video samples of each type of abnormal event, so as to establish an abnormal event detection model. For example, the invention patent with the authorized announcement number CN103390278B establishes a conditional random field model to determine whether a video contains abnormal events, so as to detect abnormal events. [0003] However, due to the broad and vague definition of abnormal behavior, in most cases, it is difficult to list all the types of abnormal behavior that may occur in a fixed scenario in advance. In addi...
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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/44G06V20/41G06F18/214
Inventor 田永鸿史业民王耀威黄铁军陈峥莹
Owner PEKING UNIV