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Method and apparatus for estimating two-dimension human body guise

A technology of human body posture and human body, which is applied in computing, computer parts, special data processing applications, etc., and can solve problems such as low processing efficiency

Active Publication Date: 2009-01-21
BEIJING VIMICRO ARTIFICIAL INTELLIGENCE CHIP TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when performing 2D human body pose estimation in the prior art, it is necessary to use a large number of parameters obtained from pre-training during the search, and the position of each human body part needs to be searched in the entire 2D image, thus making the processing efficiency lower

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  • Method and apparatus for estimating two-dimension human body guise
  • Method and apparatus for estimating two-dimension human body guise
  • Method and apparatus for estimating two-dimension human body guise

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Embodiment Construction

[0054]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0055] In this embodiment, the human body is divided into 10 human body parts including the trunk, the head, the left arm, the left hand, the right arm, the right hand, the left leg, the left foot, the right leg, and the right foot. In this way, the templates of the above-mentioned parts of the human body with fixed shapes and sizes are set in advance, which constitutes as follows: Figure 2a Mannequin shown. exist Figure 2a In , the template shape of each human body part is rectangular, and its size is the width and height of the human body part.

[0056] And this embodiment also needs to establish the constraint relationship between adjacent human body parts, such as Figure 2b As shown, the constraint relationship mentioned here refers to: the two...

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PUM

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Abstract

The invention discloses a method for estimating two-dimensional human gestures and a device for estimating the two-dimensional human gestures. The method comprises: firstly, detecting human areas in a two-dimensional image, determining hunting zones of each body part in the two-dimensional image, and then respectively searching optimal locations of each body part in the hunting zones of each body part according to the similarity degree between each location and body part templates in the hunting zones of each body part and the constraint relation between prearranged neighboring body parts. Compared with the prior art, the invention does not need to use a large amount of parameters which are obtained through training in advance and does not need to search the location of each body part in the whole two-dimensional image, and thereby the efficiency of estimating the two-dimensional human gestures is improved.

Description

technical field [0001] The invention relates to human body posture estimation technology, in particular to a two-dimensional human body posture estimation method and a two-dimensional human body posture estimation device. Background technique [0002] The main purpose of two-dimensional human pose estimation (Human Pose Estimation) is to estimate the position of each part of the human body in a two-dimensional image and determine the posture of the head and limbs. It is an important research field in computer vision and can be applied to video surveillance, Various application scenarios such as human-computer interaction and virtual reality. [0003] Among them, the two-dimensional human body posture uses the rectangles surrounding each human body part in the two-dimensional image to represent each human body part, such as figure 1 shown. Each rectangle is represented by a five-dimensional vector l=(x, y, w, h, θ), x and y represent the two-dimensional coordinates of the c...

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Application Information

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IPC IPC(8): G06K9/00G06F17/30
Inventor 王磊邓亚峰黄英
Owner BEIJING VIMICRO ARTIFICIAL INTELLIGENCE CHIP TECH CO LTD
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