Behavior recognition method and device

A recognition method and behavior technology, applied in the computer field, can solve problems such as the inability to extract information on human body parts of different scales, and achieve the effects of improving comprehensive behavior recognition capabilities, expanding receptive fields, and optimizing training processes

Pending Publication Date: 2021-03-19
CHINA CONSTRUCTION BANK
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0008] In view of this, the embodiment of the present invention provides a behavior recognition method and device, whic

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  • Behavior recognition method and device
  • Behavior recognition method and device

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Embodiment Construction

[0078] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0079] Next, the shortcomings of the existing behavior recognition methods will be described in detail.

[0080] 1. Skeletal sequence behavior recognition method based on manually extracted features. The main disadvantages of this method are:

[0081] (1) It is difficult to apply the same rule under different perspectives. For example: the bone key point data obtained fr...

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Abstract

The invention discloses a behavior recognition method and device, and relates to the technical field of computers. One specific embodiment of the behavior recognition method comprises the steps of dividing each frame of skeleton sequence data of a to-be-recognized object in a preset time range into at least one hop of sub-graph data; determining behavior characteristics of the object according tothe divided multi-hop sub-graph data; determining a time feature corresponding to the behavior feature according to each frame of skeleton sequence data of the to-be-recognized object in a preset timerange; According to the behavior characteristics of the object and the time characteristics corresponding to the behavior characteristics, recognizing to obtain a behavior classification result of the object. According to the embodiment, human body part information of different scales can be extracted, the diversity of spatial domain information can be improved, and the receptive field of the spatial graph convolutional network can be expanded.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a behavior recognition method and device. Background technique [0002] In the field of behavior recognition technology based on bone sequences, there are currently several mainstream technical solutions: [0003] (1) Behavior recognition based on manually extracted features; [0004] Use some artificial rules to complete the behavior recognition. For example: according to the rule that the bone key points related to the center of gravity of the human body continue to decrease, it is recognized that the human body has fallen. [0005] (2) Skeleton sequence behavior recognition method based on cyclic neural network (RNN / LSTM); [0006] Skeleton sequences for human recognition can be expressed as a time series of bone coordinate data frames. This method uses the recurrent neural network RNN / LSTM to train the network on a large-scale behavior recognition training data ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/20G06N3/044G06N3/045
Inventor 杨凯
Owner CHINA CONSTRUCTION BANK
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