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A Human Pose Recognition Method Based on Optitrack

A recognition method and technology of human body posture, applied in character and pattern recognition, input/output process of data processing, input/output of user/computer interaction, etc., can solve the problem that the camera is difficult to capture human body posture information.

Active Publication Date: 2021-11-16
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a human body posture recognition method based on OptiTrack, which solves the problem that it is difficult for a camera to capture human body posture information when recognizing human body postures in a wide range

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  • A Human Pose Recognition Method Based on Optitrack
  • A Human Pose Recognition Method Based on Optitrack
  • A Human Pose Recognition Method Based on Optitrack

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Embodiment Construction

[0035] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0036] Such as Figure 1-Figure 3 As shown, the purpose of the present invention is to provide a human body gesture recognition method based on OptiTrack. Its realization idea is: first, utilize the clipping filter algorithm to filter the attitude data frame sequence of OptiTrack, and remove the data frame noise; secondly, use K- The mean clustering algorithm extracts the key semantic frames of the attitude data frame sequence, reduces the redundant information between the data frames, and improves the processing speed of the algorithm; at the same time, the local linear embedding algorithm is used to extract the characteristics of the training samples, and th...

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Abstract

The present invention relates to a human body posture recognition method based on OptiTrack, comprising the following steps: adopting a clipping filter algorithm to carry out clipping filter processing on the posture data frame sequence of OptiTrack to remove data frame noise; using K-means clustering algorithm to extract and denoise The key semantic frame of the subsequent data frame sequence; the present invention adopts the local linear embedding algorithm to extract the posture features of the training samples, and uses the dimensionality reduction idea to bring the key semantic frames into the posture features of the training samples, and classify the features of the key semantic frames , so as to realize the classification and recognition of postures, and solve the problem that it is difficult for the camera to capture the posture information of the human body when recognizing the postures of the human body in a wide range.

Description

technical field [0001] The invention relates to a human body posture recognition method based on OptiTrack, which belongs to the field of computer vision and pattern recognition. Background technique [0002] As a new type of human-computer interaction, human body pose recognition algorithm has been a research hotspot of domestic and foreign scholars. With the emergence and development of VR technology, small-scale gesture recognition based on Kinect can no longer meet the needs of large-scale action recognition and human-computer interaction in VR. A new human gesture recognition method is urgently needed to meet the requirements of VR technology. [0003] OptiTrack is a high-precision, low-latency motion capture system that can capture the motion of objects within a range of 20m×25m. Compared with video image frames, the posture data frame sequence generated by OptiTrack has the characteristics of low data dimensionality and strong representation, which is very suitable f...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06F3/01
CPCG06F3/011G06V40/25G06F18/213
Inventor 刘尚周映江蒋国平葛晟宇
Owner NANJING UNIV OF POSTS & TELECOMM