Multi-peak value judgment-based dim small target tracking loss redetection method

A weak target, multi-peak technology, applied in the field of weak target tracking loss and re-examination based on multi-peak determination, can solve the problems of continuous target tracking failure, background clutter, etc.

Active Publication Date: 2018-08-10
北京理工雷科电子信息技术有限公司
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] During the target tracking process, background clutter, light and dark changes, partial or complete occlusion, target attitude changes, and rapid target movement in the video image will all lead to the failure of continuous target tracking.

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
  • Multi-peak value judgment-based dim small target tracking loss redetection method
  • Multi-peak value judgment-based dim small target tracking loss redetection method
  • Multi-peak value judgment-based dim small target tracking loss redetection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0033] Aiming at the application scene limitation of weak and small moving target tracking in the dynamic background, the present invention proposes a method for re-examining weak and small moving target tracking loss based on the multi-peak unique target decision after increasing the search domain, which specifically includes the following steps:

[0034] Step 1: When the tracked target is lost, select an area of ​​1.5-3 times the size of the tracked target in the image to be detected as the search field for target re-examination; the present invention only performs lost re-examination for weak and small targets, so the tracked target Pixel range: 10×10~30×30;

[0035] refer to figure 1 The flow chart of the flow chart, taking the video of the vehicle driving in a certain area of ​​Baoding autonomously shot by the drone as an example, the experiment is c...

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 multi-peak value judgment-based dim small target tracking loss redetection method. The method comprises the steps of selecting a search domain of target redetection in a to-be-detected image after a tracked target is lost; calculating a grayscale Gaussian distribution feature F of a frame image before the tracked target is lost, performing frequency domain response valueanalysis on the grayscale Gaussian distribution feature F in the search domain to obtain a frequency domain response graph, taking the size of the tracked target as a boundary, extracting 4-7 regionscomprising local peak values in sequence from the frequency domain response graph and recording peak value information of the regions; replacing tracked target image information in the frame image before loss to the central position of the search domain, and calculating the grayscale Gaussian distribution feature F of the tracked target and a response value delta of the central position of the search domain after replacement; comparing difference values between the 4-7 peak value information with the response value delta, and searching for a peak value position with the minimum difference value and a difference value ratio less than 20% to serve as position information of tracked target redetection. The method can quickly and effectively determine the position information of the lost tracked target.

Description

technical field [0001] The invention belongs to the technical field of target detection and tracking, and in particular relates to a rechecking method for weak and small target tracking loss based on multi-peak determination. Background technique [0002] Target tracking is the process of determining the target position information in continuous frame images, and it is an important content in computer vision research. According to the relationship between the camera and the moving target, target detection can be divided into target detection under static background and dynamic background. For the detection of moving objects when the background is not moving, there are mainly background subtraction method, frame difference method and optical flow method. For the target detection of background motion, the global motion parameters between adjacent frames of the video image are often obtained through the global motion compensation method, and the current image is matched with t...

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): G06T7/246
CPCG06T2207/10016G06T7/248
Inventor 刘峰梁若飞张俊青章菲菲
Owner 北京理工雷科电子信息技术有限公司
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