High-flux police dynamic face acquisition comparison method and system

A face collection, high-throughput technology, applied in 3D object recognition, equipment, character and pattern recognition, etc., can solve the problems of video quality loss, less information, and high requirements for camera installation, so as not to affect the traffic speed and solve the problem of Analyze the delay and ensure the effect of normal traffic

Active Publication Date: 2016-11-30
HENG DONG INFORMATION TECH WUXI CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing technology has obvious defects: 1. The video has gone through a process of encoding and decoding, and the video quality has a certain loss; 2. The process of video decoding needs to consume more computing resources of the back-end analysis server, and all video intelligent analysis Concentrating on the back-end server will also bring a large analysis delay, which is not suitable for applications with high real-time requirements
[0003] Most of the video acquisition modules in the perception channel of the prior art are based on the face detection algorithm. The defects are: 1. The face is easily camouflaged. If wearing a mask or sunglasses, the detection will fail, and the person’s face cannot be obtained. Data; 2. Face detection is easily affected by the angle of the face, and non-frontal faces are prone to detection failures resulting in missed reports and re-reports; 3. Face detection has high requirements for camera setup. The closer you are to the person, the better the effect, but It is relatively close and can easily cause pedestrians to be vigilant; 4. Since face detection only extracts face information, the obtained information only includes a single frontal face photo, and the amount of information is relatively small, which is not conducive to subsequent comprehensive applications
Existing technology cannot accurately and quickly extract and compare portrait features, making face recognition technology fail to play its due role

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] A high-throughput police dynamic face acquisition and comparison method, the steps are as follows:

[0032] (1) The camera quickly detects and captures dynamic faces. By running the computer vision algorithm, it locates the pedestrian target in the monitoring screen, and tracks and monitors the whole process from entering to leaving the screen. After the target disappears, the target's full-body photo and person The video of the face photo is streamed to the background system.

[0033] (2) The background system analyzes the original code captured by the camera through the face tracking algorithm, performs dynamic face tracking and detection, and captures the first photo of the person entering the sensing channel and the period from when the person enters the shooting range to leaving the shooting range The most standard first face photo.

[0034] (3) For face photos that are out of range, such as side faces, head down, and head up, after three-dimensional correction, t...

Embodiment 2

[0044] A high-throughput police dynamic face collection and comparison system is based on the high-throughput police dynamic face collection and comparison method in Example 1. The system includes a platform photo processing service component, a face comparison service component, a task classifier, a face comparison task processing pool, a human-certificate integration task processing pool, a comparison result receiving component, a comparison result receiving component, Comparison parameter acquisition interface, comparison parameter setting interface, separate photo comparison interface, and interface for adding, deleting, checking and modifying temporary deployment and control databases.

[0045] The comparison process of the system is an asynchronous process. The platform photo processing service component calls the face comparison service component in sequence for all the collected photos. After the face comparison service component receives the photos, the task classifier...

Embodiment 3

[0050] An intelligent sensing channel includes a base, a first side wall, a second side wall, a top wall, an external power supply, a regulated power supply, an industrial computer, a first radio frequency chip, a second radio frequency chip, an adjustable power amplifier, and a first transmitting antenna , a second transmitting antenna, a first receiving antenna, a second receiving antenna, a tee, a safe transmission module, and an information comparison storage module. The high-throughput police dynamic face collection and comparison system of Embodiment 2 is installed on the top wall of the intelligent perception channel.

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PUM

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Abstract

The invention discloses a high-flux police dynamic face acquisition comparison method and system. The method comprises the following steps: 1, rapidly detecting and snapshooting dynamic faces; 2, performing background system analysis; 3, performing three-dimensional rectification restoration; and 4, performing image preprocessing, feature extraction and comparison. According to the high-flux police dynamic face acquisition comparison method and system related to by the invention, for such features as many police portrait data image types, large quality differences, large data scale, diversified application scenes and the like, through a high-accuracy and rapid portrait feature extraction and comparison method, in a portrait comparison process, image deviations generated by the faces due to postures, decorations, illumination, focusing and the like are overcome, rapid and accurate comparison of face features is realized, a face identification technology is enabled to play an important role in actual application, and the method and system have application prospect.

Description

technical field [0001] The present invention relates to a dynamic face collection and comparison method and system, in particular to a high-throughput police dynamic face collection and comparison method and system, as well as its application in intelligent sensing channel doors. Background technique [0002] The video acquisition module in the perception channel of the prior art is mostly completed by the front-end network camera, and the collected video is encoded by H.264, and the video code stream is transmitted to the back-end analysis server, and the video code stream is decoded by the analysis server , and then perform intelligent video analysis on the decoded video image. The existing technology has obvious defects: 1. The video has gone through a process of encoding and decoding, and the video quality has a certain loss; 2. The process of video decoding needs to consume more computing resources of the back-end analysis server, and all video intelligent analysis Con...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/64G06V40/172G06V10/955
Inventor 周兴佳
Owner HENG DONG INFORMATION TECH WUXI CO LTD
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