Method for establishing action recognition library, electronic device, and storage medium

A technology of motion recognition and method establishment, applied in the field of motion recognition, can solve problems such as large amount of calculation, inability to respond immediately, inapplicability to human-computer interaction, etc., and achieve the effect of real-time feedback and simplification of skeleton points

Active Publication Date: 2019-02-05
上海史贝斯健身管理有限公司
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AI Technical Summary

Problems solved by technology

In this way, the matching calculation method of the video sequence is computationally intensive, unable to respond immediately, and cannot be applied to civilian-level human-computer interaction
Therefore, for the human-computer interaction of fitness recognition and error correction in the existing technology, it is difficult to realize the demand of the system for real-time feedback on whether the action is wrong

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  • Method for establishing action recognition library, electronic device, and storage medium
  • Method for establishing action recognition library, electronic device, and storage medium
  • Method for establishing action recognition library, electronic device, and storage medium

Examples

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Embodiment Construction

[0062] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0063] Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams described in the drawings are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entit...

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Abstract

The invention provides a method for establishing a motion recognition database, an electronic device and a storage medium, comprising: a. Converting a plurality of fitness videos into a three-dimensional skeletal motion model, obtaining coordinates of a plurality of skeletal points of a human body and vectors formed between the plurality of skeletal points in the fitness videos; (b) decompose eachfitness video into a set of actions accord to time sequence, storing that action time and the action number to obtain a video file, wherein the same actions have the same action numb; C. For each action, A standard action database is used to query whether an action file exists or not according to an action number, If not, the action file d of the action is generated. The steps b to c are repeateduntil a plurality of fitness videos are traversed, and a plurality of video files and a standard action database are formed into an action recognition database, which is used for recognizing and matching the action collected in real time. The method and the device provided by the invention can realize the fast establishment of the motion recognition database and strengthen the real-time propertyin the subsequent recognition.

Description

technical field [0001] The invention relates to the field of action recognition, in particular to a method for establishing an action recognition library, electronic equipment, and a storage medium. Background technique [0002] Human motion capture and recognition methods have a very wide range of applications in today's society, such as: intelligent monitoring, human-computer interaction somatosensory games, video retrieval and so on. [0003] Human action detection and recognition has transitioned from traditional RGB video sequences to today's popular RGB-D video sequences, and motion trajectories have been developed as important features. Traditional motion trajectory capture is often based on feature point detection algorithms, and different feature point detection methods will result in completely different motion trajectories. At the same time, because the retrieval of feature points in different frames is very unstable, in the entire video sequence, the feature poi...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/23G06V20/40G06F18/22G06F18/2411
Inventor 冯伟
Owner 上海史贝斯健身管理有限公司
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