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Violent sorting behavior recognition method and device

A recognition method and recognition device technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problem of low time-consuming recognition rate, shorten the training period, avoid manual extraction of time features, and improve accuracy Effect

Pending Publication Date: 2020-05-08
SF TECH
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AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the existing technology, this application proposes a method for identifying violent sorting behaviors, which effectively solves the problem of low time-consuming recognition rate in the prior art, and improves the recognition efficiency and accuracy

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  • Violent sorting behavior recognition method and device
  • Violent sorting behavior recognition method and device
  • Violent sorting behavior recognition method and device

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Embodiment Construction

[0040] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for ease of description, only parts related to the invention are shown in the drawings.

[0041] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0042] In the first aspect, the embodiment of the present application provides an exemplary flow chart of a method for identifying a violent sorting behavior.

[0043] like figure 1 As shown, the method includes:

[0044] Step 110, obtaining the video to be predicted;

[0045] Specifically, the sorting...

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Abstract

The invention discloses a violent sorting behavior recognition method and device. The method comprises the steps of obtaining a to-be-predicted video; graying the video to be predicted; and inputtingthe grayed to-be-predicted video into a predetermined three-dimensional convolutional neural network model to perform violent sorting behavior identification, wherein the predetermined three-dimensional convolutional neural network model has a behavior feature extraction capability. According to the method, a three-dimensional convolutional neural network model is constructed by utilizing a modelwith behavior feature extraction capability, and learning and violent sorting behavior recognition are carried out by utilizing a grayscale video. Therefore, the violent sorting behavior recognition period is shortened, and the judgment accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of computer vision video processing, in particular to a method and device for identifying violent sorting behaviors based on deep learning and knowledge transfer. Background technique [0002] In recent years, with the development of the logistics industry, in order to pursue timeliness, there will be violent sorting behaviors, such as throwing or kicking packages. These behaviors have caused damage to packages, and at the same time, various complaints have surged the trend of. The low service level of employees in the express delivery industry and the non-standard management of grassroots outlets lead to the existence of violent sorting behaviors. Violent sorting behaviors are often found in normal sorting behaviors, and the duration is usually within one second. Therefore, the intelligent detection of violent sorting behavior based on video is particularly important. [0003] Nowadays, deep learning is w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/20G06V20/41G06N3/045
Inventor 虢齐张玉双袁益琴
Owner SF TECH
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