Target tracking method applied to videos

A target tracking and video technology, applied in the field of video analysis, can solve problems such as difficulty in effectiveness, and achieve the effect of simple method, high efficiency and accuracy, and accurate target tracking.

Inactive Publication Date: 2016-04-06
HOHAI UNIV
View PDF1 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the feature information of the target is generally time-varying, and it is difficult to select appropriate feature information to ensure the effectiveness of 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
  • Target tracking method applied to videos
  • Target tracking method applied to videos
  • Target tracking method applied to videos

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0030] like figure 1 Shown, a kind of method for object tracking in the video of the present invention, its steps are as follows:

[0031] Step 10: Obtain all the pixels from the first frame of video image, use the FAST algorithm to obtain the corner points to be tracked, use the KLT method to track the corner points to be tracked and store the corner points to be tracked in the lastSET collection, and then Pre-generate the corner point set newSET that can be tracked in the current frame from the lastSET set;

[0032] The lastSET collection stores the historical corner points that have been predicted by KLT tracking before the current frame, and deletes some corner points in the overlapping area of ​​the target frame to obtain the corner point set newSET that can be tracked by KLT in the current frame. Among them, a foreground corresponds to a target frame, and the...

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 target tracking method applied to videos. According to the target tracking method, an FAST algorithm and a KLT algorithm are effectively combined together, so that problems in target tracking in videos can be solved; the FAST algorithm and the KLT algorithm are correspondingly improved, so that target tracking can be more accurate. With the target tracking method of the invention adopted, appropriate feature information is efficiently selected so as to be tracked, so that a target can be accurately tracked. The target tracking method provided by the invention has the advantages of high accuracy, high robustness, higher simplicity and short operation time.

Description

technical field [0001] The invention belongs to the field of video analysis, in particular to a method for tracking objects in videos. Background technique [0002] Video analysis technology is to use computer image vision analysis technology to analyze and track the targets appearing in the camera scene by separating the background and targets in the scene. According to the video content analysis function, users can preset different alarm rules in different camera scenes. Once the target violates the predefined rules in the scene, the system will automatically send out an alarm, and the monitoring workstation will automatically pop up the alarm information and When the warning sound is issued, the user can click on the alarm information to realize the reorganization of the alarm scene and take relevant measures. [0003] At present, among the tracking methods based on motion analysis, the frame difference method is the simplest, fast, and easy to realize by hardware. Howe...

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
CPCG06T2207/10016G06T2207/20164
Inventor 王敏高加猛
Owner HOHAI 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