Real-time evaluation method of human body motion sequences

An evaluation method and technology of human motion, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of ignoring the temporal and spatial structure information of local motion blocks

Inactive Publication Date: 2016-10-12
北京九艺同兴科技有限公司
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  • Summary
  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Existing action feature extraction methods generally include global spatiotemporal information, but ignore local motion blocks and their sp...

Method used

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  • Real-time evaluation method of human body motion sequences
  • Real-time evaluation method of human body motion sequences
  • Real-time evaluation method of human body motion sequences

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Experimental program
Comparison scheme
Effect test

Embodiment

[0113]Embodiment: The present invention uses two "Stand up" in the Florence3D-Action action data set to evaluate action similarity.

[0114] (1) Express the action in the form of multiple joint sequences: and

[0115] (2) Use the difference-based interval interpolation wavelet to perform periodic extension on P, and use the method in step 2 of the previous section to solve the wavelet coefficients to obtain key frames.

[0116] (3) Calculate the DTW matching of P and Q, and obtain the key frame of Q according to the key frame of P and the result of DTW matching, as shown in step 3.

[0117] (4) Calculate the average distance between key frames and normalize it to obtain the similarity scores of P and Q, as shown in step 4.

[0118] Firstly, the present invention is based on the change of the action block in the front and back frames, and extends the action segment based on the interval interpolation wavelet of the difference, so as to ensure that the signals inside and ou...

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Abstract

The invention relates to a real-time evaluation method of human body motion sequences. Boundary extension is carried out on the motion sequences by employing interpolating wavelet based on difference, thereby reducing boundary effect; a wavelet coefficient is calculated, thereby obtaining key frames; features of the motions are described through the key frames; the distance between two motion sequences is calculated by employing a DTW distance measurement function; finally the distance is normalized, thereby obtaining a similarity score of the two motions. The method has the advantages that the boundary effect is reduced by employing the interval interpolating wavelet, thereby obtaining the more accurate key frames, and further the more accurate motion evaluation is realized.

Description

technical field [0001] The invention relates to a human body action similarity evaluation calculation, in particular to a real-time evaluation method of a human body action sequence, belonging to the field of human action evaluation. Background technique [0002] In order to perform action similarity evaluation, it is necessary to extract features that can fully characterize the motion, time, space, and shape information of the action. Bobick and Davis proposed to use motion energy image (Motion Energy Image, MEI) and motion history image (Motion History Image, MHI) as spatio-temporal templates, and used Mahalanobis distance to measure the similarity between templates. MEI superimposes binary images based on the time axis, and uses the superimposed overall shape and position to describe human movements. Its shortcoming is that it does not take the time sequence of the movement into consideration. The MHI establishes a motion history function for each pixel, reflecting the t...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 张瑞萱汪成峰王庆张凯强
Owner 北京九艺同兴科技有限公司
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