Method and device for detecting posture of human body

Abstract

The invention discloses a method and device for detecting the posture of a human body. The method comprises the steps of acquiring a figure image, wherein the figure image comprises a pedestrian area and a background area, and the pedestrian area comprises a left shoulder point and a right shoulder point; detecting the position of the pedestrian area in the figure image and the width of the pedestrian area, and detecting the number of key points and the position of each key point in the figure image; if the number of the key points is equal to the preset number, marking the figure image to be an unblocked state; calculating a first distance between the left shoulder point and the right shoulder point; and if the first distance is not less than a turn-back threshold, marking the figure image to be a non-turn-back state. The state of the figure image is judged according to the number of the key points and the distance between the key points. Classification can be performed on a plurality of figure images according to the state of the figure images, or unblocked figure images without a turn-back state are selected to perform the next step of operations such as pedestrian recognition, so that the accuracy of pedestrian recognition can be improved.

Description

technical field [0001] The invention relates to image processing technology, in particular to a method and device for detecting human posture. Background technique [0002] Pedestrian recognition has great application prospects in surveillance video, image retrieval and other applications. The basis of pedestrian recognition is to obtain the area where pedestrians are located from pictures or videos, that is, pedestrian detection. [0003] Pedestrian detection is to detect the position of pedestrians in the video. The difficulty of this problem is that the pedestrians in the surveillance video have great posture changes. In different scenes, there may be different interference backgrounds that cause false detections, and there are also human body occlusions, etc. question. [0004] Some of the existing pedestrian detection is realized through Faster RCNN (Faster region based convolution network). Faster RCNN is a general-purpose detection algorithm. It uses a regression m...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiencies in the prior art, one of the purposes of the present invention is to provide a human body posture detection method, which can solve the problem that the detection result of the existing pedestrian detection method cannot determine the posture of the person, and pedestrian recognition has a negative impact on the human body. Occlusion, deformation, etc. are more sensitive, and sending sideways or occluded pedestrian detection results to the recognition module will significantly reduce the final recognition rate.

[0006] The second object of the present invention is to provide a human body posture detection device, which can solve the problem that the detection result of the existing pedestrian detection device cannot determine the posture of the person, and pedestrian recognition is sensitive to the occlusion and deformation of the human body. Sending the detection results of sideways or occluded pedestrians to the recognition module will significantly reduce the final recognition rate

[0007] The third object of the present invention is to provide a human body posture detection device, which can solve the problem that the detection result of the existing pedestrian detection device cannot determine the posture of the person, and pedestrian recognition is sensitive to the occlusion and deformation of the human body. Sending the detection results of sideways or occluded pedestrians to the recognition module will significantly reduce the final recognition rate

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