Method and device for improving figure recognition precision of indoor monitoring system

A person recognition and monitoring system technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as inability to accurately identify people and targets, and achieve the effects of easy deployment, high operating efficiency, and improved performance

Pending Publication Date: 2021-04-23
INFORMATION SCI RES INST OF CETC
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AI Technical Summary

Problems solved by technology

[0011] In practical applications, for example, in the internal monitoring system of a certain unit or in the video surveillance of a shopping mall, when some characters change clothes in the monitoring blind spot, and the external characteristics of the characters change significantly, the monitoring system cannot accurately identify the target of the person

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  • Method and device for improving figure recognition precision of indoor monitoring system
  • Method and device for improving figure recognition precision of indoor monitoring system
  • Method and device for improving figure recognition precision of indoor monitoring system

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Embodiment Construction

[0058] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0059] One aspect of the present invention provides a method for improving the recognition accuracy of a person in an indoor monitoring system.

[0060] Such as figure 1 As shown, a method S100 for improving the accuracy of person recognition in an indoor monitoring system includes:

[0061] S110, setting a face feature library and an appearance feature library, the face feature library includes preset face features, and each of the face features corresponds to two groups of appearance features in the appearance feature library.

[0062] Exemplarily, in this step, a face feature library and an appearance feature library can be set separately. Among them, the face feature library can be used to store face feature informa...

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Abstract

The invention provides a method and a device for improving the figure recognition precision of an indoor monitoring system. The method comprises the following steps: setting a face feature library and an appearance feature library; extracting face features and appearance features of the figure target entering the monitoring image range, and recognizing the figure target; extracting face features and appearance features of the figure targets appearing at other positions in the monitoring image range, and recognizing the figure targets; when the number of people in the monitoring image range is large, extracting the face feature and the appearance feature of each person, and recognizing each person; and when the face features of the person in the monitoring image range cannot be extracted, performing detection and recognition by utilizing the appearance features of the person. The figure recognition precision and performance of the monitoring system can be remarkably improved, the operation efficiency is high, the calculation burden of the system is not increased while the performance of the system is improved, deployment, expansion and system upgrading are easy, and the method can be applied to intelligent video monitoring systems of office places, shopping malls and the like.

Description

technical field [0001] The invention belongs to the technical field of intelligent video monitoring, and in particular relates to a method and a device for improving the recognition accuracy of a person in an indoor monitoring system. Background technique [0002] With the continuous development of society, public safety has become a common topic of the whole society, and the complementary video surveillance system has also been widely popularized. The video surveillance system can intuitively reproduce the target scene, and can be used as a powerful assistant for key person and event monitoring. In the monitoring of specific key areas, the identification and positioning of human targets is an extremely critical step. For a long period of time in the past, the identification of people and targets in the monitoring system was completed by manually observing the monitoring video. This search method is very inefficient and causes a lot of waste of resources. [0003] With the...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172G06V20/52
Inventor 陈文彬黄斐徐振洋吕麒鹏
Owner INFORMATION SCI RES INST OF CETC
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