Quick detecting method for moving objects in dynamic scene

A moving target and detection method technology, which is applied in the field of civil aviation, can solve the problems of increased target false detection, inaccurate foreground pixels, and inability to segment foreground pixels, etc.

Inactive Publication Date: 2013-09-25
CIVIL AVIATION UNIV OF CHINA
View PDF2 Cites 74 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the fixed threshold binary method is suitable for the segmentation of foreground and background in static scenes. to valid foreground pixels
The OTSU method can determine the segmentation threshold according to the principle of maximum inter-class variance, and can adapt t

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
  • Quick detecting method for moving objects in dynamic scene
  • Quick detecting method for moving objects in dynamic scene
  • Quick detecting method for moving objects in dynamic scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The method for quickly detecting a moving object in a dynamic scene provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] like figure 1 As shown, the method for fast detection of moving objects in dynamic scenes provided by the present invention includes the following steps in order:

[0030] 1) First of all, according to the characteristics of the rapidity and accuracy of CenSurE feature point extraction, use the feature point and the homography transformation model to quickly and accurately register the frames of the moving image sequence, so as to compensate for the frame loss caused by camera motion. The amount of translation, rotation and scaling of the background to get the registration frame of the previous frame;

[0031] The registration method is as follows: first extract the CenSurE feature points of two adjacent frames and use U-SURF to generate feature point desc...

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

Provided is a quick detecting method for moving objects in a dynamic scene. The quick detecting method for the moving objects in the dynamic scene comprises carrying out sequence interframe registration on moving images by utilizing CenSurE feature points and a homography transformation model, obtaining a registering frame of a former frame taking a current frame as reference, carrying out subtraction on the registering frame with the current frame to obtain a frame difference image to generate a foreground mask, building a dynamic background updated in real time according to space distribution information of the foreground mask in the current frame, obtaining a background subtraction image based on a background subtraction method, carrying out statistics on the probability density of the gray level of each pixel in the frame difference image, when the sum of the probability density of the gray level of a pixel is larger than 2phi(k)-1, taking the gray level as a self-adaptation threshold value, judging pixels with values of gray levels larger than the threshold value as foreground pixels, and otherwise judging the pixels as background pixels. The quick detecting method for the moving objects in the dynamic scene can reach the processing speed of 15frame/s and can obtain relatively integral moving objects under the premise that the detecting speed is ensured, and therefore, index requirements such as rapidity, noise immunity, illumination adaptation, target integrity and the like of the detection of the moving objects in the dynamic scene can be met.

Description

technical field [0001] The invention belongs to the technical field of civil aviation, in particular to a method for quickly detecting a moving target in a dynamic scene. Background technique [0002] Moving object detection is to extract moving objects from video sequence images, and it is an important basis for higher-level processing such as object recognition, tracking, and behavior analysis in computer vision. According to the motion state of the camera, moving object detection can be divided into two types: moving object detection in static scenes and moving object detection in dynamic scenes. Among them, the moving target detection technology in static scenes is relatively mature, and has been widely used in fixed video surveillance sites. Commonly used algorithms include background subtraction based on mixed Gaussian models. In dynamic scenes, since both the camera and the target are moving, it increases the difficulty of target detection, so it is a hot and difficu...

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): G06T7/00
Inventor 张红颖胡正孙毅刚
Owner CIVIL AVIATION UNIV OF CHINA
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