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Face recognizing and tracking system based on non-contact body physiological parameter measurement

A technology of face recognition and human physiology, applied in the field of face recognition tracking system, can solve problems such as misprocessing, inability to obtain correct human physiological parameter measurement data, etc., and achieve the effect of ensuring accuracy

Inactive Publication Date: 2014-12-03
BEIJING KANGJIA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on the problems existing in the above-mentioned prior art, a face recognition and tracking system based on non-contact measurement of human physiological parameters can solve the technical problem of incorrect processing after collection of face recognition information and the inability to obtain correct measurement data of human physiological parameters

Method used

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  • Face recognizing and tracking system based on non-contact body physiological parameter measurement

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Experimental program
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Effect test

Embodiment 1

[0020] When multiple faces appear within the camera shooting range, the face recognition module detects the extracted face features within the camera range to confirm whether there is a registered face, and if so, sends the face image to the The face tracking module automatically tracks the faces of the part of the people and automatically saves them; if it does not exist, it automatically returns to the feature extraction and face registration module to register the faces of the part of the people.

Embodiment 2

[0022] When multiple faces appear in the camera shooting range at the same time, if there is no face feature registration information in the feature extraction and face registration module, the captured face image is directly processed by the feature extraction and face registration module. Extraction and registration, after the above processing is completed, the face image is sent to the face tracking module, which automatically tracks the faces of this part of the people and automatically saves them.

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PUM

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Abstract

The invention discloses a face recognizing and tracking system based on non-contact body physiological parameter measurement. The face recognizing and tracking system comprises a web camera, an image acquisition module, a face capture module, a characteristic extraction and face registration module, a face identification module and a face tracking module. A face is detected in a collected image or one frame of video streaming and is separated from background; a face image is subjected to characteristic extraction, and extracted face characteristics are registered; whether the registered face exists within a camera shooting range or not is detected; if the registered face exists within the camera shooting range, the face is automatically tracked and stored when the registered face moves within the camera shooting range; and if the registered face does not exist within the camera shooting range, the registered face is returned and registered, a registration information database is updated. When a plurality of faces simultaneously appear in the camera shooting range, the invention can effectively carry out multi-target face distinguishing and independently registers, identifies and tracks to guarantee that the obtained face information belongs to same person and guarantee the accuracy of body physiological parameters.

Description

technical field [0001] The invention relates to image recognition and tracking technology, in particular to a face recognition and tracking system based on non-contact human physiological parameter measurement. Background technique [0002] The recognition technology based on human facial features has an increasingly important position and role in social life. [0003] At present, the existing face recognition technology has been relatively mature, but we have noticed that the application of face recognition technology to non-contact human physiological parameter measurement technology, whether it is static face recognition technology or dynamic face recognition Technology, still starts from the accuracy of face recognition. In the process of face recognition, it is necessary to collect a piece of video information of faces. When multiple faces appear at the same time, it is easy to group the collected face information into one Processing for an individual cannot obtain cor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 欧阳健飞徐可欣
Owner BEIJING KANGJIA TECH CO LTD
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