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Indoor anti-interference motion recognition method based on image analysis

An image analysis and motion recognition technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of occupying processor computing resources and storage resources, increasing operating costs, limited processing capacity and storage space, etc., to reduce The requirements of hardware resources and the effect of ensuring processing accuracy

Pending Publication Date: 2020-09-11
钱丽丽
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Noise needs to be removed by some mathematical methods, which need to occupy the computing resources and storage resources of the processor
On the one hand, the processing power and storage space of the processor in the embedded system are limited. For cost-sensitive embedded test products, increasing the processing power or storage space of the processor directly affects cost control; on the other hand, for applications that require fretting event judgment, It is not necessary to pay attention to the quality of image output, but to realize the judgment of micro-movement events, so excessive resource calls increase the operating cost

Method used

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  • Indoor anti-interference motion recognition method based on image analysis
  • Indoor anti-interference motion recognition method based on image analysis
  • Indoor anti-interference motion recognition method based on image analysis

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Embodiment Construction

[0031] Because in an ideal image with noise removed, motion events appear in the image as a change in the gray value of a certain pixel, and the distribution of the changed pixel is relatively concentrated, rather than scattered throughout the image. In actual use, we will see that even if there is no micro-movement, the gray value of each pixel of the image captured at different times changes to varying degrees. This change is caused by the image sensor device and the environment These noises will interfere with the judgment of micro-motion events. Therefore, to identify micro-motion events, it is necessary to eliminate the interference of noise as much as possible.

[0032] Based on the above understanding, the image analysis-based indoor anti-interference motion recognition method of the embodiment of the present invention includes the following steps:

[0033] The first step is to define noise interference factors and dynamic difference;

[0034] The same image acquisitio...

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Abstract

The invention relates to an indoor anti-interference motion recognition method based on image analysis. The method is used for processing collected images in various on-site intelligent monitoring systems, indoor light intelligent control systems and other systems. The method comprises the following steps: 1, defining noise interference factors and dynamic differences; 2, segmenting the to-be-detected image by using a mesh division method; dividing the image to be detected into N blocks with the same size, and representing the N blocks with K0, K1,..., KN-1; 3, calculating a mean value of thedynamic differences by taking the blocks as units; 4, calculating an interference factor mean value by taking the block as a unit; and 5, carrying out motion detection and analysis. According to the invention, the processing accuracy is ensured, and the requirement on hardware resources of the embedded equipment is reduced at the same time.

Description

technical field [0001] The invention relates to an indoor anti-interference motion recognition method based on image analysis, which is used in various on-site intelligent monitoring systems, indoor lighting intelligent control systems and other systems to process collected images. Background technique [0002] Various on-site intelligent monitoring systems, indoor lighting intelligent control systems and other systems need to collect and monitor image data in real time and process and judge to determine whether an event that needs to be monitored occurs. For example, in the indoor lighting intelligent control system, after the image data collected by the image sensor is processed by the processing unit, it can be judged whether there are movement events such as people entering or moving, and based on this, it can be determined whether to turn on or off the lights. Various noises (such as Gaussian noise, Rayleigh noise, gamma noise, etc.) will be introduced during the proces...

Claims

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Application Information

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IPC IPC(8): G06T7/254G06T7/20G06T5/00G06K9/00G06F17/16
CPCG06T7/254G06F17/16G06T7/20G06V20/42G06V2201/07G06T5/70
Inventor 钱丽丽
Owner 钱丽丽
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