Motion detection method and device

A motion detection and algorithm technology, applied in image data processing, instruments, calculations, etc., can solve the problems of large amount of calculation and storage space, high computational complexity, large amount of calculation, etc., to reduce computing costs and achieve good robustness Sexuality, the effect of balancing performance and cost

Active Publication Date: 2014-04-02
艾智科技技术(深圳)有限公司
View PDF5 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can obtain a complete moving target, but the traditional background modeling is sensitive to jitter and shadows, and the mathematical morphology analysis algorithm and connected domain analysis have high computational complexity, which will consume a lot of calculation and storage space. Embedded monitoring devices with limited computing power and storage space have high performance requirements
[0006] The optical flow field method is to analyze the moving area by calculating the moving field in the image. It has a huge amount of calculation, needs to be equipped with special hardware for acceleration, and is sensitive to noise, and is not suitable for embedded monitoring equipment.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Motion detection method and device
  • Motion detection method and device
  • Motion detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0048] see figure 1 , in one embodiment, a motion detection method is provided, the method can be applied to a monitoring device, especially an embedded monitoring device, and the method includes a process:

[0049]Step 102, using a random filtering algorithm to establish a background model of the video image.

[0050] Specifically, compared to the background modeling in the traditional technology, which is sensitive to shaking and illumination by modeling the motionless part of the image, this embodiment uses a random filtering algorithm to establish the background model of the video image. The ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a motion detection method which comprises the following steps: establishing a background model of a video image by using a random filtering algorithm; updating the background model according to the input video image, and acquiring a corresponding binary foreground picture and an integrogram of the binary foreground picture; extracting motion areas in the integrogram by using integral rectangles; clustering the motion areas so as to obtain a motion target. The invention further discloses a motion detection device. By adopting the technical scheme, the accuracy in motion detection is improved, both the property and the speed are taken into account, higher calculation cost is needless, and the method and the device are particularly applicable to embedded type monitoring equipment.

Description

technical field [0001] The invention relates to the technical field of video image processing, in particular to a motion detection method and device. Background technique [0002] Motion Detection Technology, also known as motion detection, is one of the core technologies in the video surveillance industry. This function is available in mainstream video surveillance equipment. [0003] Currently, motion detection algorithms include motion vector method, background subtraction method and optical flow field method. [0004] The motion vector method is to judge whether there is a motion area in the image by extracting the motion vector of the macroblock in the video coding sequence. Its detection speed is fast, but it cannot accurately locate the position of the target, and it is easily affected by illumination changes, jitter, and noise. The false positive rate is extremely high. [0005] The background subtraction method is to set the motionless part of the video scene as ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/20
Inventor 杨闯
Owner 艾智科技技术(深圳)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap