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

Video object tracking method based on bat algorithm

A bat algorithm and target tracking technology, applied in computing, image data processing, instruments, etc., can solve problems in the field of no target tracking

Inactive Publication Date: 2016-03-23
SHANDONG UNIV OF TECH
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But so far, it has not been applied in the field of 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
  • Video object tracking method based on bat algorithm
  • Video object tracking method based on bat algorithm
  • Video object tracking method based on bat algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] Figure 1~2 It is the best embodiment of the present invention, below in conjunction with attached Figure 1~2 The present invention will be further described.

[0049] Refer to attached figure 1 : A video target tracking method based on bat algorithm, comprising the following steps:

[0050] Step 1: Select the target in the initial frame image of the video, and determine the initial state vector of the target.

[0051] Determine the state vector x=[x, y, s] of the tracked target in the initial frame of the video image, where (x, y) represents the coordinates of the center point of the target, and s represents the scaling scale of the target.

[0052] Step 2, according to the state vector of the target, establish the kernel function weighted color model of the target:

[0053] p ^ c ( u ) ( X ...

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 video object tracking method based on a bat algorithm, belonging to the technical field of moving object tracking. The method is characterized by comprising the following steps: 1, determining an initial state vector of an object in an initial frame image of video; 2, establishing a kernel function weighted color model of the object according to the state vector of the object; 3, performing optimization search on the optimal position of the object in next frame image by using the bat algorithm; 4, sequencing a bat swarm according to fitness values to find the state of a bat having maximum fitness value, and positioning the object in the current image according to the state; and 5, judging whether a new image is input in the video or not, if so, continuously executing step 3, otherwise, ending the program. According to the method, the moving object in the video image is tracked by using the bat algorithm, and the state of the bat swarm is updated in real time through dynamic balance of local search and global search, so that an accurate, real-time and robust tracking effect is obtained.

Description

technical field [0001] A video target tracking method based on a bat algorithm belongs to the technical field of moving target tracking. Background technique [0002] Object tracking technology is a research hotspot and difficulty in the field of computer vision. The main purpose of target tracking is to obtain the real-time status of moving targets, and provide a basis for subsequent visual analysis and behavior understanding. Target tracking has been widely used in intelligent video surveillance, intelligent human-computer interaction, video compression coding, robot visual navigation, precision guidance system and other fields, and has extremely broad theoretical and practical research value. [0003] Although researchers have conducted a lot of research on object tracking, many object tracking algorithms have been proposed. Literature (Yilmaz, O.Javed, and M.Shah. "ObjectTracking: ASurvey". ACMCOMPUTSURV, 38(4):1-45 (2006)) and literature (Y.Wu, J.W.Lim, and M.H.Yang. ...

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
CPCG06T2207/10016
Inventor 高明亮胡元潮尹丽菊申晋刘伟王雅静邹国锋李海涛
Owner SHANDONG UNIV OF TECH
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