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

Real-time video tracking method

A video tracking and video technology, applied in image data processing, instruments, calculations, etc., can solve problems such as poor tracking effect, and achieve the effect of avoiding the disaster of dimensionality

Inactive Publication Date: 2016-10-12
SHANGHAI BAONOVA SOFTWARE
View PDF0 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Taking KCF (Kernelization Correlation Filter) as an example, KCF has a good effect on video tracking of illumination changes, occlusion, non-rigid deformation, motion blur, and background clutter, but it is not effective for video tracking such as scale changes, fast motion, and rigid deformation. good

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
  • Real-time video tracking method
  • Real-time video tracking method
  • Real-time video tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments.

[0082] A real-time video tracking method, the processing flow is as figure 1 As shown, it specifically includes the following steps:

[0083] (1) In the mth frame of the video, mark 1 target area ROI to be tracked, where 1 ≤ m

[0084] (2) Extract the features of the target area ROI, that is, perform steps A-G:

[0085] A. Expand the ROI by a specific ratio to get the area RExpand. The specific ratio can be calculated according to the moving speed of the tracking target;

[0086] B. Read the video data in the RExpand described in step A to obtain Video;

[0087] C. Scale the Video described in step B to a specific size to obtain VScale;

[0088] D. Divide the VScale described in step C into p sub-blocks of...

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 real-time video tracking method, comprising the following steps: firstly, compressing image features by dividing the tracking target into sub-blocks; secondly, adapting to the scale change and fast movement of the tracking target by constructing multi-scale candidate regions ; Finally, use the KCF (Kernelized Correlation Filter) algorithm to calculate the correlation between feature vectors to achieve the purpose of video tracking. The invention realizes accurate tracking of common targets in various scenarios, fully meets the real-time requirement, and has very high practical value.

Description

Technical field [0001] The invention belongs to the field of computer vision and pattern recognition, and specifically relates to a real-time video tracking method. Background technique [0002] Video tracking technology can be widely used in fields such as unmanned driving, security monitoring, industrial control, intelligent transportation, national defense and military, and it has huge academic and economic value behind it. [0003] Although researchers at home and abroad have proposed many tracking algorithms, they still face some difficulties in practical applications, including the following aspects: [0004] (1) The appearance of the tracking target changes because the viewing angle and distance of the tracking target relative to the camera are constantly changing; [0005] (2) Light changes in the external environment; [0006] (3) Blocking and interference from other objects; [0007] (4) Real-time requirements. [0008] In recent years, detection-based tracking algorithms have ...

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): G06T7/20G06T7/40
CPCG06T2207/20081G06T2207/20104
Inventor 翁肇杰翟恺
Owner SHANGHAI BAONOVA SOFTWARE
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com