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Abnormal behavior detection method and device

A behavioral and abnormal technology, applied in the field of image processing, can solve the problems of wasting detection resources, high cost of model training and maintenance, etc.

Active Publication Date: 2021-06-15
ZHEJIANG DAHUA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a method and device for abnormal behavior detection, which are used to solve the problems of repeated feature extraction, waste of detection resources, and high cost of model training and maintenance in the prior art

Method used

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  • Abnormal behavior detection method and device
  • Abnormal behavior detection method and device

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] figure 1 It is a schematic diagram of an abnormal behavior detection process provided by an embodiment of the present invention, and the process includes the following steps:

[0060] S101: Input the obtained first image to be detected into the pre-trained detection model, and based on the detection model, perform convolution processing on the first image to determine a first feature map; and determine the first The location information of the detection frame of each target object in the feature map, and the location information of the detection frame of each abnormal behavior.

[0061] The abnormal behavior detection method provided by the embodiment of the present invention is applied to an electronic device, and the electronic device may be a PC, a personal computer, or an image acquisition device.

[0062] The bayonet device installed at the intersection can obtain the video information of the vehicle passing the intersection, and the vehicle image in the video can...

Embodiment 2

[0071] In order to make it more accurate to determine whether the target object has abnormal behavior, on the basis of the above-mentioned embodiments, in the embodiment of the present invention, before determining whether the target object has the abnormal behavior according to the intersection ratio, the method further includes :

[0072] Determine whether the abnormal behavior is a dominant abnormal behavior or a recessive abnormal behavior;

[0073] If the abnormal behavior is a dominant abnormal behavior, the determining whether the target object has the abnormal behavior according to the cross-combination ratio includes:

[0074] Judging whether the intersection-over-union ratio is greater than a preset first threshold, if yes, determining that the target object has the abnormal behavior;

[0075] If the abnormal behavior is a hidden abnormal behavior, the determining whether the target object has the abnormal behavior according to the cross-over-combination ratio inclu...

Embodiment 3

[0082] On the basis of the above-mentioned embodiments, in the embodiment of the present invention, the detection model includes a main network, a detection subnet and a classification subnet;

[0083] Based on the detection model, performing convolution processing on the first image, and determining the first feature map includes:

[0084] Based on the main network in the detection model, perform convolution processing on the first image, determine a first basic feature map, and input the first basic feature map into the detection subnetwork in the detection model; based on the The detection sub-network in the detection model performs convolution processing on the first basic feature map to determine the first feature map;

[0085] Before determining that the target object has the abnormal behavior, the method also includes:

[0086] Input the first basic feature map into the classification subnetwork of the detection model, and input the first feature map into the classific...

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Abstract

The invention discloses a method and a device for detecting abnormal behavior. The method includes: determining the position information of the detection frame of each target object and the position information of the detection frame of each abnormal behavior based on a detection model; For each object and each abnormal behavior, determine whether the target object has the abnormal behavior according to the intersection ratio of the target object and the detection frame of the abnormal behavior. The abnormal behavior detection method provided by the embodiment of the present invention is implemented based on a detection model, the image is input into the detection model, and the detection result of abnormal behavior can be output after one feature extraction, so there is no repeated feature extraction, The detection resources are saved, and different target objects and different abnormal behaviors can be detected based on the detection model of this case, without the need to train multiple models, thus reducing the cost of model training and maintenance.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an abnormal behavior detection method and device. Background technique [0002] Road traffic accidents have brought great harm to people's lives and property, causing more than 100,000 deaths every year. Among them, many times it is a road traffic accident caused by the driver's abnormal behavior. The abnormal behavior of the driver includes not making a phone call, smoking, not wearing a seat belt, etc. In order to reduce the occurrence of road traffic accidents, it is necessary to detect the abnormal behavior of the driver in a timely and accurate manner. [0003] When detecting the abnormal behavior of the driver in the prior art, the target in the car window is generally detected first, such as the main driver, the co-driver, the seat belt, etc., and then the abnormal behavior of the specific target is determined, such as whether the main driver is When ma...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/597G06F18/2413
Inventor 巫立峰徐慧
Owner ZHEJIANG DAHUA TECH CO LTD