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Human head posture estimation algorithm and operator working state recognition system

A head posture and estimation algorithm technology, applied in the field of image processing, can solve the problems of complex human head posture estimation algorithms, achieve good capture, improve accuracy, and prevent human-made accidents

Inactive Publication Date: 2021-02-09
上海祐云信息技术有限公司
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a human head posture estimation algorithm and an operator working state recognition system, which solves the complex problem of the human head posture estimation algorithm in the prior art

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  • Human head posture estimation algorithm and operator working state recognition system
  • Human head posture estimation algorithm and operator working state recognition system
  • Human head posture estimation algorithm and operator working state recognition system

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Embodiment Construction

[0025] Below in conjunction with accompanying drawing, structure and working process of the present invention will be further described.

[0026] The present invention recognizes the operator's working state through video surveillance images to identify and track the face features of the observed person, and estimates the head posture to judge the working state of the observed person.

[0027] The head pose estimation algorithm of the present invention first collects the head image information of the observed person through a video collector, uses the deep learning head pose estimation algorithm to identify the exact position of the user's face, and calculates the relative angle of the user's head.

[0028] Deep learning uses Convolutional Constrained Model (CE-CLM) to detect faces, which captures the shape changes of faces by Point Distribution Model (PDM) to form markers and models each marker. The face feature points are generally distributed around the local semantic area ...

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Abstract

The invention discloses a human head posture estimation algorithm and system, and the method comprises the steps: firstly obtaining human head image information through a video collector; secondly, constructing a human face feature point model by applying a deep learning method, and obtaining positions of human face feature points in the image; and finally, calculating the relative angle of the head, and obtaining the human head posture features. The number of features is increased when a deep neural network is constructed in the algorithm so that the accuracy of the feature points can be effectively enhanced and the face shape can be better captured. The face feature points are constructed according to the working state of an operator in a cab, so that head posture tracking is achieved, an administrator or the operator is reminded through estimation and determination of the face angle, and the purpose of preventing human accidents is achieved.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a posture estimation algorithm of a human head and an operator working state recognition system. Background technique [0002] In modern construction, tower cranes have become indispensable equipment on construction sites, and as special equipment, their safety requirements are very high. The most important thing is the operators of tower cranes. Status requires constant attention and reminders. [0003] In the prior art, the monitoring of the tower crane operators is only video monitoring. The status of the operators in the video is artificially checked, and the working status of the operators cannot be tracked in real time. In the event of an accident, the management personnel cannot be notified in time. Contents of the invention [0004] The technical problem to be solved by the present invention is to provide a human head posture estimation algorithm and an oper...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06N3/04G06V40/164G06V40/168G06V20/597
Inventor 殷广玉姚斌
Owner 上海祐云信息技术有限公司
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