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A physical action attribute analysis and recognition method for intelligent teaching space-time correlation

A spatiotemporal correlation and attribute analysis technology, applied in the computer field, can solve the problem of difficulty in maintaining interest in the learning process, and achieve the effect of improving the ability to predict and identify spatiotemporal structures

Inactive Publication Date: 2019-06-21
陈强 +2
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  • Application Information

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Problems solved by technology

In addition, due to the influence of many factors (such as venue, time, difficulty, fun, etc.) in the traditional mode of body movement teaching, it may be difficult to maintain interest in the learning process

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  • A physical action attribute analysis and recognition method for intelligent teaching space-time correlation
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  • A physical action attribute analysis and recognition method for intelligent teaching space-time correlation

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Embodiment Construction

[0027] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0028] Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0029] The present invention provides a body action attribute analysis and recognition method oriented to the time-space correlation of intelligent teaching, which can improve the space-time structure prediction and recognition ability of the high-quality body action education resource visual media of the educational...

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Abstract

The invention discloses a physical action attribute analysis and recognition method for intelligent teaching space-time correlation. The method comprises the following steps: tracking and positioningthe position of a learner in each frame according to a real-time visual target tracking mode of multi-scale correlation filtering; And based on a multi-frame image joint segmentation mode, establishing a deformable part model of the learner, and realizing space-time correlation estimation of single-frame overall image action attribute perception. The scheme provided by the invention can improve the spatial-temporal structure prediction and recognition capability of the high-quality physical action education resource visual media of the education resource public service platform, and the structural, continuous and spatial-temporal consistency of physical actions and the like are analyzed to realize the analysis and recognition of the physical actions and the accurate prediction of the change trend of the physical actions.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a body action attribute analysis and recognition method for intelligent teaching time-space association. Background technique [0002] Visual teaching media are teaching media resources and products provided by related platforms such as education platforms, teaching websites, image and video websites, and forums, with images and videos (animation) as the carrier, with people as the main body and body movements as the main content. [0003] At present, with the rise of platforms such as MOOC (massive open online courses, large open online courses) courses and E-Learning (Electronic Learning, electronic learning), the traditional distance teaching mode has undergone great changes; at the same time, teaching The effect has also been significantly improved. Along with this wave, the teaching method of body movement has gradually changed from the traditional offline media communica...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06Q50/20G06T7/246
Inventor 陈强苏卓陈慧妍
Owner 陈强
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