Human body posture detection method and device

Abstract

The invention provides a human body posture detection method and device. The human body posture detection method comprises the following steps of: obtaining a training image and calibrating positions of human hands, a human face and eyes in the training image; determining human face characteristic parameters based on the positions of the human face and the eyes, wherein the human face characteristic parameters comprise a distance between the two eyes, a human face width and a human face inclined angle; establishing a human body trunk model, wherein the human body trunk model is provided with trunk characteristic parameters; combining a foreground color corresponding to a human body trunk, a background color except the human body trunk and the trunk characteristic parameters to detect the human body trunk in the training image; establishing an upper half body model of the human body, wherein the upper half body model of the human body is provided with joint characteristic parameters; and combining the foreground color corresponding to the human body trunk, the background color except the human body trunk and the joint characteristic parameters to detect the posture of the upper half body of the human body. By utilizing the technical scheme, various types of human body postures can be effectively detected under each image background and the human body posture detection method and device have good robustness to different clothes and illuminations.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and a device for detecting a human body posture. Background technique [0002] Human pose detection has many important roles in the field of computer vision technology, such as driving assistance systems, video surveillance systems, image retrieval, human-computer interaction, etc. In intelligent video surveillance, automatically searching for human bodies in the scene is usually considered as the first pre-processing step. However, in the prior art, the automatic search of the human body still has not achieved satisfactory results, mainly because of the diversity of the human body itself, the variety of human body postures, the diversity of clothing, and the complexity of the background and lighting conditions. Especially, when a part of the human body in the monitoring field of view is occluded and the overall features of the human body cannot be captured, it is more c...

AI Technical Summary

Problems solved by technology

[0006] The problem to be solved by the present invention is to provide a method that can effectively detect various human body postures under various image backgrounds, and has a good effect on different clothing and lighting, aiming at the defects of the existing human body posture detection method in static images. Robustness of

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