Anomaly detection method and device, anomaly detection model training method and device, equipment and storage medium
An anomaly detection and anomaly technology, applied in the field of computer vision, can solve problems such as poor scene adaptability and achieve the effect of improving accuracy
Active Publication Date: 2020-10-16
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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Problems solved by technology
Anomaly detection methods based on supervised learning can only detect pre-trained abnormal events or behaviors in surveillance videos, and have poor scene adaptability and great limitations
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[0036]Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
[0037] Since the current video anomaly detection is mostly based on supervised learning, supervised learning needs to label each training video in time and space dimensions. The labeling workload is heavy, and it can only detect pre-trained abnormal events or behaviors in surveillance videos. Poor ability, with great limitations.
[0038] In this regard, this applica...
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The invention discloses an anomaly detection method and device, an anomaly detection model training method and device, equipment and a storage medium, and relates to the technical field of computers,in particular to the field of computer vision and image processing. The anomaly detection method disclosed by the invention comprises the following steps of preprocessing an obtained to-be-detected video to obtain a plurality of first detection instances of pipeline categories and a plurality of second detection instances of video levels, and inputting the two types of detection instances into ananomaly detection model to obtain a detection instance that a target object in the to-be-detected video is abnormal. Each of the first detection instances and the second detection instances comprisesa plurality of continuous image frames, the image frames in the two types of detection instances are in one-to-one correspondence, and the size of the image frames in the first detection instances issmaller than that of the image frames in the second detection instances. The anomaly detection method relates to anomaly detection of two types of detection instances, and the obtained video anomaly detection result is more accurate.
Description
technical field [0001] The embodiments of the present application relate to the field of computer vision in computer technology, and in particular to an anomaly detection method, a model training method, a device, a device, and a storage medium. Background technique [0002] Anomaly detection of surveillance video is an important research field in computer vision. It is used to intelligently analyze surveillance video and automatically identify abnormal events in the video or abnormal behavior of monitored objects, such as fire accidents, people gathering, and vehicles traveling in reverse. At present, this technology is widely used in intelligent transportation, security and other fields. [0003] In the prior art, surveillance video anomaly detection is mostly based on supervised learning. Supervised learning mainly builds a predictive model by learning a large number of training samples, where each training sample has a label indicating its true value output. Anomaly de...
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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/20G06V20/44G06V20/40G06N3/045
Inventor 张伟谭啸李莹莹孙昊文石磊章宏武丁二锐
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD