Three-dimensional motion tracking method of upper half part of human body based on monocular video

A technology of three-dimensional motion and human body, applied in the field of computer vision and video processing, can solve the problems of large uncertainty of human body posture, a large number of training samples, and algorithms that cannot be generalized, and achieve easy generalization of algorithms, simple methods, and high precision Effect

Inactive Publication Date: 2012-05-30
XIANGTAN UNIV
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Problems solved by technology

This method has the following disadvantages: 1) The use of statistical learning requires a large number of training samples, and the restored human body pose has a large uncertainty
2) The effect of statistical learning trac

Method used

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  • Three-dimensional motion tracking method of upper half part of human body based on monocular video
  • Three-dimensional motion tracking method of upper half part of human body based on monocular video
  • Three-dimensional motion tracking method of upper half part of human body based on monocular video

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Embodiment Construction

[0019] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] We regard the upper body of the human body as a tree stick model, such as figure 1 The skeleton model shown is composed of 8 joint points and 7 body segments, where J 0 It is the root node of the tree structure, corresponding to the chest joint of the human body. The length of the line segment (human skeleton segment) in the model is obtained according to anthropometry, which is a relative proportional length, and should be set according to the actual measurement value in the application.

[0021] The perspective projection imaging model we adopt is as follows:

[0022] u v = 1 s 1 0 ...

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Abstract

The invention discloses a three-dimensional motion tracking method of an upper half part of a human body based on a monocular video. The method comprises calculating via sift-matching characteristic points according to chest shape invariance to obtain a coordinate on an image, variable factors, a rotating Euler angle, etc. of chest joints, and obtaining rotating postures of left and right upper arms and forearms via an in-depth traverse method according to the skeleton model of the upper half part of human body. The method establishes an equation according to inverse kinematics and the coordinates and post-rotation coordinates of the matching characteristic points in a local coordinate system, and solves the equation to thus obtain the rotating Euler angle. The inventive method is simple, can accurately track the posture of the upper half part of a human body, and can be widely applied in the fields of human-machine interaction, interactive entertainment, intelligent monitoring, medical diagnosis, etc.

Description

【Technical field】 [0001] The invention relates to the fields of computer vision and video processing, in particular to a method for recovering human body three-dimensional motion posture based on monocular video. 【Background technique】 [0002] Video-based three-dimensional human body motion tracking has great application value in fields such as human-computer interaction, interactive entertainment, intelligent monitoring, and medical diagnosis. Different from binocular or multi-eye video human motion tracking, monocular video tracking only needs one camera to capture human body motion and does not require camera calibration, so it is easy to use and widely used. [0003] At present, the commonly used 3D human body motion tracking under monocular video mainly adopts learning-based methods. This method has the following disadvantages: 1) The use of statistical learning requires a large number of training samples, and the restored human body pose has a large uncertainty. 2) ...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 陈姝
Owner XIANGTAN UNIV
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