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Dangerous posture recognition method and device, computer equipment and storage medium

A recognition method and gesture technology, applied in the fields of computer equipment and storage media, dangerous gesture recognition methods, and devices, can solve the problem of low accuracy, improve confidence, reduce the probability of misjudgment, and increase the accuracy of detection. Effect

Active Publication Date: 2019-11-22
RINGSLINK XIAMEN NETWORK COMM TECH
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AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a dangerous posture recognition method, device, computer equipment and storage medium to solve the problem of low accuracy in existing dangerous posture detection schemes

Method used

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  • Dangerous posture recognition method and device, computer equipment and storage medium
  • Dangerous posture recognition method and device, computer equipment and storage medium
  • Dangerous posture recognition method and device, computer equipment and storage medium

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Embodiment Construction

[0059] see figure 1 As shown, a preferred embodiment of a dangerous posture recognition method of the present invention, below, some nouns involved in the present invention are first explained:

[0060] Greedy algorithm (also known as greedy algorithm): It means that when solving a problem, it always makes the best choice at present. That is to say, without considering the overall optimality, what he makes is only a local optimal solution in a certain sense. The greedy algorithm can not obtain the overall optimal solution for all problems, but it can generate the overall optimal solution or an approximate solution to the overall optimal solution for many problems with a wide range of problems.

[0061] Semantic Segmentation: Semantic segmentation is a typical computer vision problem that involves taking as input some raw data (e.g., planar images) and converting them into masks with highlighted regions of interest. Many people use the term full-pixel semantic segmentation, w...

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Abstract

The invention provides a dangerous posture recognition method. The dangerous posture recognition method comprises: obtaining any frame of target image captured by terminal equipment; endowing semanticabstract label concepts and specific label concepts through semantic conversion; detecting an abstract label concept region and a specific label concept region of the obtained target image by using adeep neural network model; and performing joint judgment on the abstract label concept region and the specific label concept region, and outputting a posture recognition result. The invention furtherprovides a dangerous posture recognition system, computer equipment and a storage medium. The method has the advantages that the detection accuracy can be greatly improved, and the probability of wrong judgment is reduced; and meanwhile, extra prediction time consumption caused by multi-model prediction can be avoided.

Description

technical field [0001] The invention relates to the technical field of image recognition and processing, in particular to a dangerous gesture recognition method, device, computer equipment and storage medium. Background technique [0002] In daily life, in some scenarios, it is difficult for a person to be found and sent to the hospital in time after a fall, which often causes some irreversible damage. At this time, users will hope to use some technologies to detect whether there are abnormalities in the behavior in these scenarios. [0003] At present, the mainstream dangerous posture detection schemes include: from the perspective of deployment methods, there are two kinds of sensor schemes and camera monitoring schemes; from the perspective of data processing methods, there are two kinds of traditional methods and methods based on artificial intelligence and machine learning. [0004] Among them, in terms of deployment methods, sensor-based solutions have been gradually ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/62G06N3/04
CPCG06V40/23G06V10/267G06N3/045G06F18/2411
Inventor 黄慜哲林昱
Owner RINGSLINK XIAMEN NETWORK COMM TECH
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