Online somatosensory adaptive interaction method combined with video intelligent analysis

Abstract

The invention discloses an online somatosensory adaptive interaction method combined with video intelligent analysis. A somatosensory interaction module, a video analysis module and a data storage module are arranged, wherein the somatosensory interaction module is used for dynamic capture, foreground segmentation and action recognition; the video analysis module comprises an image acquisition module, an image analysis module and an intelligent classification module; the images are divided into useful images and useless images through intelligent classification; useful images can be convertedinto a standard video format, the standard video format and standard parameter data which are matched in the database and subjected to specific calculation are displayed together, and then the data restored in the data storage module; useless images can be compressed by low codes before being stored, so that the memory occupation amount is reduced, the load of a data storage module is reduced, theconvenience of later video extraction is improved, specific parameter data and useful images can be displayed together, the obtained analysis result is more accurate, and the practicability is improved.

Description

technical field [0001] The invention belongs to the technical field of video intelligent analysis, and in particular relates to an online somatosensory self-adaptive interaction method combined with video intelligent analysis. Background technique [0002] Somatosensory adaptive interaction is an interaction method that directly uses body movements, voices, eye rotations, etc. to interact with surrounding devices or environments. Compared with previous interface interaction methods, the traditional mouse and keyboard control methods in GUI Body movements interact directly with the system, and its natural interaction mechanism enables the system to have a better perception of the user's operating intentions. Visible and tangible physical interaction design helps users communicate with the system, thereby getting more simulated feelings; [0003] However, the traditional somatosensory adaptive interaction method can only perform simple physical experience, and can only obtain...

AI Technical Summary

Problems solved by technology

[0003] However, the traditional somatosensory adaptive interaction method can only perform simple physical experience, and can only obtain the simplest image information at most, and cannot obtain more accurate data information according to actual needs. The deviation of the conclusion greatly reduces the practicability of somatosensory adaptive interaction. At the same time, after a long period of image acquisition, in addition to useful images, a large number of useless images that are not helpful for data analysis will be generated in these image information. Useful images cannot be classified, which not only brings great inconvenience to the later image extraction, but also takes up a lot of storage space, resulting in an increased load on the data storage module

Images