A method and system for determining social intimacy

A technology to determine the method and intimacy, which is applied in the field of face recognition and behavior recognition, can solve the problem of not introducing absolute distance, and achieve the effect of precise distinction
CN109522844BActive Publication Date: 2020-07-24YANSHAN UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
YANSHAN UNIV
Publication Date
2020-07-24

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Abstract

The invention discloses a method and system for determining social intimacy. The method includes: acquiring an image collected by a camera; using a cascaded neural network to detect face information in the image; using a convolutional neural network to determine a sparse representation of the detected face information; using the sparse representation of the face information as an input , use the classifier to classify the faces, and get the faces representing different actors; use the faces of different actors as targets to track, and obtain the behavior information of each actor, the behavior information includes the behavior between the actors Distance information and conversation behavior between actors; determine the intimacy between actors according to the behavior information of each actor. The method and system for determining social intimacy provided by the present invention can automatically acquire the intimacy between actors based on camera monitoring.
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Description

technical field

[0001] The present invention relates to the fields of face recognition and behavior recognition, in particular to a method and system for determining social intimacy. Background technique

[0002] Face recognition is one of the important applications of computer vision, specifically referring to the technology of automatic identity identification by computer by analyzing and comparing the visual feature information of faces. Compared with traditional biometric methods such as fingerprints and irises, face recognition has the advantages of non-contact, in line with human identification habits, strong interactivity, and not easy to steal. Therefore, in ensuring public safety, information security, financial security, companies and individuals There is a strong demand for property safety and superiority.

[0003] At CVPR (the top conference in the field of computer vision and pattern recognition) in 2015, Google announced their face recognition algorithm. Taki...

Claims

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