Human body motion tracking method based on combination of production and discriminant

A human motion, discriminative technology, applied in image data processing, instruments, calculations, etc., can solve the problem that the appearance model is not enough to accurately track the human body posture, and achieve the effect of simple method, improved accuracy, and low time complexity.

Inactive Publication Date: 2017-06-09
SHANDONG VOCATIONAL COLLEGE OF SCI & TECH
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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 of the athl

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  • Human body motion tracking method based on combination of production and discriminant
  • Human body motion tracking method based on combination of production and discriminant
  • Human body motion tracking method based on combination of production and discriminant

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0039] Step 1, building a human skeleton model.

[0040] 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, and 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.

[0041] Express the coordinates of each joint point as i ∈ [1, 15], n ∈ [1, N], N is the number of human motion video frames to be tracked; th...

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Abstract

The invention discloses a human body motion tracking method based on combination of production and discriminant. The human body motion tracking method is mainly used for solving the problem of inaccurate tracking result of human body motion in the prior art. The implementation steps of the human body motion tracking method are as follows: building a human body skeleton model; pre-processing a video image to obtain a detection joint; extracting bandlet 2 characteristics of the video image; inputting the extracted bandlet 2 characteristics and predicting a human body gesture by using double-Gauss; initializing the human body skeleton model according to the detected joint; structuring 2D and 3D similarity functions between the joint predicted by the double-Gauss and the detected joint; minimizing the similarity functions under the restriction of bone length to obtain a group of human body gestures; and selecting a state with the minimum Euclidean distance to a former frame skeleton from the obtained human body gestures as the best motion gesture of a current frame. Compared with the existing human body tracking method, the human body motion tracking method based on combination of production and discriminant has the advantages of high accuracy of tracking result and high stability, and can be applied to the medical treatment, physical training, animation production and intelligent monitoring systems.

Description

[0001] field of invention [0002] 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 [0003] 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. H...

Claims

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T2207/30196
Inventor 王钊东杜元胜
Owner SHANDONG VOCATIONAL COLLEGE OF SCI & TECH
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