Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for describing movement behavior of luggage image based on constant dimension and variable characteristics

A scale-invariant feature and luggage technology, applied in image analysis, image data processing, instruments, etc.

Active Publication Date: 2015-05-13
THE FIRST RES INST OF MIN OF PUBLIC SECURITY +1
View PDF9 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the current traditional methods cannot realize the quantitative description and reproduction of luggage image motion behavior

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
  • Method for describing movement behavior of luggage image based on constant dimension and variable characteristics
  • Method for describing movement behavior of luggage image based on constant dimension and variable characteristics
  • Method for describing movement behavior of luggage image based on constant dimension and variable characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. Such as figure 1 As shown, a method for describing the motion behavior of baggage images based on scale-invariant feature transformation of the present invention includes: a single-frame image baggage detection algorithm and based on scale-invariant feature transformation (Scale-Invariant Feature Transform, SIFT) The luggage position is synthesized into a two-step model for the entire luggage image motion behavior.

[0038]The single-frame image baggage detection algorithm of the present invention is: locate the position of the baggage in the single-frame image output by the X-ray equipment. Since the shape of the baggage is different, the circumscribed rectangle position of the baggage is obtained by using the layered projection algorithm to represent the baggage position. The layered projection algorithm is used to obtain the minimum rectangle in whic...

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 method for describing movement behavior of a luggage image based on constant dimension and variable characteristics. The method comprises the steps of performing single frame image luggage detection algorithm; combining the luggage positions in the single frame into the whole luggage image movement behavior model based on constant dimension and variable characteristics. The method has the advantages that the influence of the change of the size, color and position of the luggage image caused by activating related image processing function on the luggage movement can be overcome, the any time of the process from the luggage image appearing to disappearing can be accurately extracted and displayed through a screen; an external luggage matrix is utilized to describe the luggage positions so as to describe the luggage image movement behavior model. With the adoption of the method, the common characteristics of the same luggage in two frame images can be found out under the influence of various image processing operations on the luggage image, and therefore, the luggage image movement description is achieved.

Description

technical field [0001] The invention relates to a method for describing motion behavior of luggage images based on scale-invariant feature transformation, and belongs to the technical fields of image processing and machine vision. Background technique [0002] At present, security inspection work behavior assessment is a new research field proposed by the industry in recent years. Among them, the most attractive is the job behavior assessment of image interpretation posts. Because this post is a key post in the security inspection system and shoulders the core tasks of the security inspection work. The low quality of image interpretation posts and lack of security vigilance are one of the important reasons leading to many terrorist attacks on aircraft. [0003] For example, the patent application number CN201310166191.4 discloses an image description method and device for reducing description errors for images with the same content but large color changes. The provided im...

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): G06T7/20
Inventor 王晓侃黄莹李东李佩斌茹一孔维武陈功吕始胜
Owner THE FIRST RES INST OF MIN OF PUBLIC SECURITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products