Smoking behavior identification method for police administration supervision

A recognition method and behavior technology, applied in the field of computer vision and image processing, can solve the problems of high false alarm rate, unreasonable and effective, and inability to accurately distinguish between investigators and suspects, so as to reduce the probability of false alarms and improve accuracy Effect

Inactive Publication Date: 2020-05-29
CHENGDU GUOYI ELECTRONICS TECH CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] (1) There is no method that can accurately detect smoking movements, and apply the method to the public security inspection system;
[0005] (2) It is impossible to accurately distinguish between case handlers and suspects;
[0006] (3) The false alarm rate is high, and there is no reasonable and effective way to judge the results of system feedback

Method used

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  • Smoking behavior identification method for police administration supervision
  • Smoking behavior identification method for police administration supervision

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Embodiment Construction

[0044] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will be described first with reference to the accompanying drawings.

[0045] In this example, if figure 1 , a method for identifying smoking behavior of police inspectors, comprising the following steps:

[0046] Step 1, real-time collection of interrogation room video data;

[0047] Step 2, decoding the video into a sequence of pictures;

[0048] Step 3: Use the interrogator detection module to detect the interrogator in the sequence of pictures, and obtain the rectangular area of ​​the interrogator, which is expressed as BBboxA (x, y, w, h), where x and y are the coordinates of the center point of the rectangle, and w , h is the width and height of the rectangular area, and the character "interrogator" is superimposed on the rectangular frame. The main technical points for the detection of i...

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Abstract

The invention discloses a smoking behavior identification method for police administration supervision. The method comprises stesp of detecting smoking behavior, carrying out video decoding sequence picture analysis, detecting analysis result, carrying out alarm processing on possible smoking behaviors of interrogators, and carrying out manual auditing to determine smoking violation behaviors. Accurate positioning of the smoking action is achieved through a mature target detection algorithm in deep learning, step-by-step subdivision from the whole to the local can be achieved, and refined processing is achieved; and meanwhile, the method is very suitable for a public security supervision system by combining with engineering, so that misinformation is reduced.

Description

technical field [0001] The invention relates to the fields of computer vision and image processing, in particular to a method for identifying smoking behavior of police inspectors. Background technique [0002] Nowadays, in order to implement the central government to improve the law enforcement capabilities of the police and standardize civilized law enforcement, strengthen the supervision of the law enforcement process in the interrogation room, implement the concept of strengthening the police with science and technology, apply modern advanced technology, and supervise the law enforcement process in the interrogation room, a large number of cumbersome video review work Execution by machines can effectively improve the efficiency of supervision and supervision, and escort civilized law enforcement. During the inspection period, it was found that public security staff smoked frequently during the interrogation process, which damaged the image of civilized law enforcement an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/20G06V20/40G06F18/214
Inventor 刘军冯江远吴介桅曹治江朱军伟蒲俗
Owner CHENGDU GUOYI ELECTRONICS TECH CO LTD
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