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A multi-target human body posture detection method and system

A technology of human body posture and detection method, applied in the field of image processing, can solve problems such as joint point matching errors

Active Publication Date: 2018-12-07
ROPEOK TECHNOLOGY GROUP CO LTD
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the above-mentioned technical problems, the present invention proposes a multi-target human posture detection method and system, which can effectively solve the problem of joint point matching errors between different targets by adding distance constraints between joint points

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  • A multi-target human body posture detection method and system
  • A multi-target human body posture detection method and system
  • A multi-target human body posture detection method and system

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Embodiment Construction

[0029] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0030] like figure 1 It is a flow chart of a multi-target human posture detection method of the present invention, showing the specific implementation steps of the method, specifically including:

[0031] In step 101, the target image is acquired;

[0032] Obtain image data. The target image here refers to the image that needs to be estimated for human body posture. The image data can come from surveillance video, drone aerial photography, mobile phone photography and other channels that can obtain image data.

[0033] In a possible implementation, the target image can also be scaled, and images of different scales can be obtained to detect targets of different scales, which can improve detection performance. Specifically, the present inventio...

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Abstract

The invention discloses a multi-target human body posture detection method and system related to the field of image processing. The method includes the steps of acquiring a target image; extracting joint point information of the target image; acquiring matching information between joint points according to the joint point information and distance constraints between the joint points; and combiningthe joint points according to the matching information to complete the human body posture estimation according to the matching information. Further, acquiring the target image also comprises the steps of scaling the target image to construct an image pyramid; and obtaining a scaled image of the target image at different scales by setting a pyramid layer number and a scaling standard. According tothe invention, through addition of the distance constraint condition between the joint points, the problem of wrong joint point matching between different targets can be solved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image-based multi-target human posture detection method and system. Background technique [0002] With the accumulation of massive big data under the Internet and the rapid improvement of computer hardware level, the deep learning algorithm based on deep neural network has obvious performance improvement compared with the traditional machine learning algorithm in the field of computer vision and monitoring, and is widely used in Scenarios such as target detection and recognition, video structuring, and video semantic understanding. In recent years, human behavior analysis based on human posture has become a research hotspot in computer vision, video surveillance, deep learning, machine learning and other related fields. The purpose of human body pose estimation is to let the machine understand and describe the human body's movements, behaviors, and the interaction between peop...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/10G06N3/045
Inventor 刘晓程蔡国榕张翔苏松志苏松剑
Owner ROPEOK TECHNOLOGY GROUP CO LTD
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