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A Human Pose Tracking Method Based on Visual Information

A technology of human body posture and visual information, applied in the field of computer vision, can solve problems such as difficult to meet real-time requirements and large amount of calculation, and achieve the effects of improved efficiency, good real-time performance and accuracy, and guaranteed accuracy

Inactive Publication Date: 2016-08-17
WUHAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

General particle filter algorithms, especially those used for human body posture tracking, such as immune particle filter, their motion models are all first-order linear; because the original space dimension of human body posture is too high, the motion model established in this high-dimensional space The method has a large amount of calculation, and it is difficult to meet the real-time requirements in tracking

Method used

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  • A Human Pose Tracking Method Based on Visual Information
  • A Human Pose Tracking Method Based on Visual Information
  • A Human Pose Tracking Method Based on Visual Information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] A human pose tracking method based on visual information. The concrete steps of this human posture tracking method are:

[0046] The first step is to determine the prior model of human motion

[0047] According to the type of human motion in the video to be tested, it is judged whether a relevant prior model of human motion exists. The type of human motion selected in this example is walking; assuming that no prior motion model has been established for this type of motion, proceed to the second step.

[0048] The second step is to train the prior model of human motion

[0049] The training data Ψ is composed of K frames of real human posture data, and the training data Ψ is

[0050] Ψ={X i |i∈[1,K],X i ∈X D} (1)

[0051] In formula (1): X i Indicates the posture of the human body in the i-th frame, X i It is composed of coordinates of all relevant nodes of the human body;

[0052] D is the original spatial dimension of the human body posture;

[0053] x D Repr...

Embodiment 2

[0082] A human pose tracking method based on visual information. The concrete steps of this human posture tracking method are:

[0083] The first step is to determine the prior model of human motion

[0084] According to the type of human motion in the video to be tested, determine whether a relevant prior model of human motion exists; the type of human motion selected in this example is throwing. Assuming that the prior motion model of the motion type has been established, the third step is performed next.

[0085] The third step, test human body posture tracking

[0086] Step 3.1: Initialize the particle set according to the real posture of the human body in the first frame of the data to be tested, and generate the particle set S t

[0087] S t = { s t , n } ...

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Abstract

The invention relates to a method for tracking the human body posture based on visual information. According to the technical scheme, the method comprises the steps that in the training stage, according to real three-dimensional human body posture time series data in training data and with the adoption of the Gauss latent variable model algorithm, the human body posture is studied, so that a human body posture motion prior model is obtained; in the tracking test stage, video data to be tested and a first frame of the three-dimensional human body posture in the video data are input, a latent variable motion model is established with the use of the human body posture motion prior model studied in the training stage, and the particle updating step in an immune particle filtering algorithm is achieved through the latent variable motion model. The method for tracking the human body posture based on the visual information has the advantages of being high in practicality, accuracy and efficiency.

Description

technical field [0001] The invention belongs to the technical field of computer vision. Specifically, it relates to a human body pose tracking method based on visual information. Background technique [0002] The problem of human pose tracking can be described as: according to the video sequence collected in the monitoring environment and the real pose of the first frame, estimate the whole body pose of the controlled person in each frame of the image, and the estimated pose vector is required to include the three-dimensional positions of all relevant nodes of the human body coordinate. Human motion posture tracking has a wide range of applications in intelligent monitoring, video marking, image compression, film animation, games, human-computer interaction, sports analysis, virtual reality and other fields. [0003] At present, most human motion posture tracking is based on the particle filter framework. For high-dimensional state estimation problems such as human motion ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20G06K9/66
Inventor 蒋旻董珂雷泽姚世杰
Owner WUHAN UNIV OF SCI & TECH
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