Multi-model human motion tracking method

A human body movement and multi-model technology, applied in the direction of animation production, image data processing, instruments, etc., can solve the problems that cannot solve the complexity and variability of human movement patterns, increase calculations, increase movement models, etc., and reduce the degree of malicious competition , improve the accuracy and reduce the number of effects

Inactive Publication Date: 2011-05-25
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

In order to solve the shortcomings of the learning-based method, predecessors have tried to use the interactive multi-model algorithm IMM to complete human motion tracking, and use a carefully selected motion model set for a specific human motion mode to obtain a better tracking effect, but in practical applications , since a small set of motion models cannot solve the complexity and variability of human

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  • Multi-model human motion tracking method
  • Multi-model human motion tracking method

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Embodiment Construction

[0047] refer to figure 1 , the multi-model human body motion tracking method of the present invention, the specific implementation process is as follows:

[0048] Step 1, preprocessing the input video image to obtain the silhouette of the human body and its outline and skeleton line.

[0049] refer to figure 2 , the specific implementation of this step is as follows:

[0050] 1.1) Adopt the minimum square median LMedS method to obtain the background image Back, let I be the input image sequence of N frames, then the pixel value Back of the background image Back at (x, y) place x，y for:

[0051] Back x , y = arg min p med t | | I x , y t - p ...

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Abstract

The invention discloses a multi-model human motion tracking method, and relates to the technical field of image processing, which mainly solves the problems that human motion ambiguity and time complexity are high and excellent three-dimensional body posture estimation cannot be obtained by increasing motion models purely in the conventional method. The multi-model human motion tracking method comprises the following steps of: (1) inputting a human motion video image to acquire a human silhouette and an edge and a skeleton line thereof; (2) detecting the positions of human articulation points; (3) training the motion models by a ridge regression method; (4) initializing a model set M1; (5) performing an interactive multi-model algorithm to acquire a human motion posture; and (6) activating the motion models which meet the activating condition, and terminating the motion models which meet the termination condition. The multi-model human motion tracking method has the advantages of low time complexity and good tracking effect, has high cost effectiveness, and can be applied in fields of sports training, animation production and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to human body motion tracking, in particular to a multi-model human body motion tracking and three-dimensional posture estimation, which 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 human body from the image, locate the human body parts, then recognize the human motion posture, and finally reconstruct the three-dimensional human motion. Since the obtained video or image sequence is the projection of a 3D scene on a 2D image, a large amount of depth information is missing, and in the process of human body movement, self-occlusion of human body limbs often occurs, and the quality of video images cannot be guaranteed. The work of recovering human motion pose from unlabeled monocular videos is challenging. However, due to the potential application and economic value o...

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Application Information

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IPC IPC(8): G06T13/40G06T7/20
Inventor 韩红焦李成陈志超范友健李阳阳吴建设王爽尚荣华马文萍
Owner XIDIAN UNIV
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