Moving object detection method and device based on space-time background model

A moving target and background model technology, applied in the field of intelligent video surveillance, can solve the problems of multiple false detections and the background update speed is not fast enough, and achieve the effect of improving the detection rate and the accuracy rate.

Active Publication Date: 2015-12-30
OB TELECOM ELECTRONICS
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These traditional background modeling methods use the statistical characteristics of pixels in time series to model, and do not make full use of spatial information. Therefore, in the process of target

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
  • Moving object detection method and device based on space-time background model
  • Moving object detection method and device based on space-time background model
  • Moving object detection method and device based on space-time background model

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0033] Embodiment 1, a moving target detection method based on a spatiotemporal background model, refer to the attachment figure 1 .

[0034] The moving target detection method of the present invention specifically includes the following steps:

[0035] Step 1: Perform background modeling according to the collected 3000 frames of images to obtain a temporal background model;

[0036] ① Converted to a background image, assuming that the gray value of the pixel at point (x, y) in the sequence is: Y = {y 1 (x,y),y 2 (x,y),...,y 3000 (x,y)};

[0037] ②Calculate these sampling values, namely the mean value μ and standard deviation δ of the aforementioned pixel gray values:

[0038] μ = X i = 1 3000 y i

[0039] δ = 1 3000 X i = 1 3000 ( y i - μ ) 2

[0040] I in the formula represents the i-th sampling point,

[0041] If δ <20, use the Gaussian model as the temporal background model of the pixel. If δ≥20, use K-mea...

Example Embodiment

[0057] Embodiment 2, a moving target detection device based on a spatiotemporal background model, refer to the attachment figure 2 .

[0058] The moving target detection device of the present invention includes an image acquisition module 1, a temporal background modeling module 2, a moving target detection module 3, a spatial background modeling module 4, a moving target confirmation module 5, and a background model update module 6. The image acquisition module 1 is used to collect monitoring images, the temporal background modeling modeling module 2 is used to establish the temporal background model in step 1, and the moving target detection module 3 is used to extract the initial movement from the temporal background model in step 2. Target, the spatial background modeling module 4 is used to calculate the corresponding background area of ​​each initial target and establish a corresponding spatial background model, and the moving target confirmation module 5 is used to place ...

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 provides a moving object detection method based on a space-time background model. The method comprises the steps that 1, a time background model is obtained by collecting image modeling; 2, initial moving objects are obtained; 3, a background region of grown initial moving objects is obtained; 4, the space background model is obtained; 5, whether space-time model distribution is conformed or not is judged; 6, the time background model is updated. The invention further provides a moving object detection device based on the space-time background model, the moving object detection device comprises an image acquisition module, a time background modeling module, a moving object detection module, a space background modeling module, a moving object confirmation module and a background model updating module. The invention provides a space background modeling concept, it is considered that foreground objects and surrounding backgrounds have certain differences on features such as color, if the initial moving objects are in accordance with the surrounding backgrounds on the color feature, it is considered to be false detection, and the accuracy of moving object detection is improved.

Description

technical field [0001] The invention relates to the field of intelligent video monitoring, in particular to a method and device for detecting a moving object based on a spatio-temporal background model. Background technique [0002] The basic task of moving target detection is to extract the moving target from the image background from the sequence of images, so as to obtain the moving information of the target, which is of great significance to the subsequent work of image classification, target tracking, etc., and can be used to a large extent Simplify analysis work. Because in the actual monitoring scene, the background is often not completely static, but is changing all the time, such as: changes in the weather, slight and regular shaking of the background, changes in lighting, and gradually blending into the target in the background, etc., making the background construction Modeling has become an important and difficult problem in moving target detection. [0003] The...

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
IPC IPC(8): G06T7/20
CPCG06T7/20G06T2207/10016
Inventor 石旭刚张水发刘嘉杜雅慧汤泽胜
Owner OB TELECOM ELECTRONICS
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