Target tracking method and system transmitting edge distribution and existence probability

A technology of edge distribution and target tracking, which is applied in the directions of instruments, calculations, electrical digital data processing, etc., and can solve the problems that cannot be distinguished from targets that are very close

Inactive Publication Date: 2014-07-02
SHENZHEN UNIV
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When using this method to track the target, due to the mutual interference and influence between

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
  • Target tracking method and system transmitting edge distribution and existence probability
  • Target tracking method and system transmitting edge distribution and existence probability
  • Target tracking method and system transmitting edge distribution and existence probability

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] 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.

[0060] Different from the traditional multi-target Bayesian filter that transmits the joint distribution of multiple target states, and also different from the probability assumption density filter that transmits the first-order moments of the joint distribution of multiple target states, the present invention transmits the marginal distribution and The existence probability of each target, using the marginal distribution to represent the uncertainty of the target state, and using the existence probability to represent the randomness of the appearance, existence and disappearance of the target, ther...

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 belongs to the field of multi-sensor information fusion and provides a target tracking method and system transmitting edge distribution and existence probability. The method includes the following steps that firstly, according to edge distribution and existence probability of all targets at the previous moment, edge distribution and existence probability, at the current moment, of the targets already existing at the previous moment are predicated, edge distribution and existence probability are appointed to newborn targets at the current moment, updated edge distribution and existence probability are measured and determined in combination with the positions at the current moment, then edge distribution and existence probability of all the targets are determined at the current moment, finally, the targets with existence probability smaller than a first threshold value are cut out according to edge distribution and existence probability of all the targets at the current moment, edge distribution and existence probability of all the targets after cutting serve as recursion input at the next moment, and meanwhile the targets with existence probability larger than a second threshold value are extracted as output at the current moment.

Description

technical field [0001] The invention belongs to the technical field of multi-sensor information fusion, and in particular relates to a target tracking method and a target tracking system for transmitting edge distribution and existence probability. Background technique [0002] Probabilistic hypothesis density filtering method is a new method to solve target detection and tracking. Its biggest advantage is that it reduces the integral operation in the Bayesian filtering method, and can give an estimate of the number of instantaneous targets. It has been widely used in multi-target detection, positioning and tracking. [0003] However, the probabilistic hypothesis density filtering method is a data processing method that transfers the first moments of the joint posterior distribution. When this method is used to track the target, due to the mutual interference and influence between different target states, the filtering method cannot distinguish the targets that are very clo...

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): G06F19/00
Inventor 刘宗香谢维信李良群
Owner SHENZHEN UNIV
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