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Multi-objective optimized human body motion tracking method

A multi-objective optimization and human body movement technology, applied in image data processing, instruments, 3D modeling, etc., can solve the problem that the similarity of the appearance model is not enough to accurately track the human body posture, etc., to achieve simple algorithms, improve accuracy, and save time Effects with low complexity

Inactive Publication Date: 2012-09-05
XIDIAN UNIV
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Problems solved by technology

The disadvantage of the method disclosed in this patent application is that it can only track the human body on a fixed scene, and the similarity of the appearance model is not enough to accurately track the human body posture

Method used

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  • Multi-objective optimized human body motion tracking method
  • Multi-objective optimized human body motion tracking method
  • Multi-objective optimized human body motion tracking method

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] figure 1 In, the specific realization process of the present invention is as follows:

[0034] Step 1, building a human skeleton model.

[0035] According to anatomical knowledge, although the human skeleton is constantly changing due to the influence of age and health, the composition of the skeleton remains unchanged. The human body roughly includes: tibia, femur, hip, trunk, radius, humerus, clavicle, neck, head . In this case, the present invention represents the human body as a skeleton model consisting of 15 joint points and 14 rod-shaped bones. In the virtual space, the 14 rod-shaped skeletal models are represented by straight line segments between 14 joint points with three-dimensional coordinates,

[0036] The coordinates of each joint point are expressed as v i =[x i ,y i ,z i ] T , the whole human skeleton is expressed as V=[v 1 , v 2 ,...,...

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Abstract

The invention discloses a multi-objective optimized human body motion tracking method, which relates to the field of computer vision and is used for tracking human body motion and estimating a posture. The method comprises the following steps of: (1) establishing a human body skeleton model; (2) preprocessing a video image; (3) initiating; (4) constructing similarity functions; (5) optimizing a target function; and (6) selecting an optimal human body motion posture. The method has the advantages that: the method is not limited by a study database and is suitable for the common videos, and video image information can be better used through two similarity functions; meanwhile, compared with the conventional single-objective optimized human body tracking method, the multi-objective optimizedhuman body motion tracking method has the advantages that: the non-dominated neighborhood immune algorithm of a multi-objective optimization algorithm can be prevented from falling into local optimum, and the human body motion tracking accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a method for realizing human body motion tracking in the field of computer vision, which adopts a multi-objective optimization method to realize human body motion tracking and three-dimensional attitude estimation, and can be used in fields such as sports training and animation production . Background technique [0002] The main task of human motion tracking is to detect the outline of the human body from the video image, and then locate the joint points of the human body. Since the current video image is the projection of the human body contour in the 3D scene on the 2D image, a lot of depth information is lost, and during the movement of the human body, the self-occlusion phenomenon of the limbs of the human body often occurs, and the video image has ambiguity, which makes It is difficult to recover human motion pose from unlabeled monocular videos. However, du...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T17/00
Inventor 韩红冯光洁苟靖翔王瑞白静李阳阳
Owner XIDIAN UNIV
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