Fast correlation neighborhood feature point-based sliding window target tracking method and system

A neighborhood feature and target tracking technology, applied in the field of image processing, can solve problems such as difficult scenes, difficult to guarantee tracking performance, and difficult to obtain stable tracking

Active Publication Date: 2016-12-21
NANJING LES ELECTRONICS EQUIP CO LTD
View PDF5 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, researchers at home and abroad have conducted a lot of research on target tracking technology. Qi Zhiquan et al. proposed a template feature selection method in the patent "A Template Feature Selection Method for Target Tracking", which can effectively eliminate non-target objects in the target template. Feature points, but the target tracking robustness is poor when applied to complex scenes
Chang Faliang et al. proposed an edge matching algorithm and multi-block grayscal

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
  • Fast correlation neighborhood feature point-based sliding window target tracking method and system
  • Fast correlation neighborhood feature point-based sliding window target tracking method and system
  • Fast correlation neighborhood feature point-based sliding window target tracking method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The technical solution of the present invention will be further introduced below in conjunction with the accompanying drawings and specific implementation methods.

[0059] The invention discloses a sliding window target tracking method based on relevant neighborhood feature points, such as figure 1 shown, including the following steps:

[0060] S1: generate a target window template;

[0061] Set the target window T w Size w×h, window position (x, y), take the current window position as the center, shift m pixels to the left to get the left horizontal template T L , translate m pixels to the right to get the right horizontal template T R , translate up n pixels to get the upper vertical template T U , translate n pixels down to get the lower vertical template T D ; wherein m=0.2w (round up, get 3 when less than 3 pixels), n=0.2h (round up, get 3 when less than 3 pixels), w and h are the width and height of the target window template respectively , the initially ob...

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 fast correlation neighborhood feature point-based sliding window target tracking method. The method includes the following steps of: S1, target window template generation; S2, fast correlation neighborhood feature point extraction; S3, optimal point of interest screening; S4, point of interest sliding window search; S5, feature point template matching update; and 6, decision voting output. The invention also discloses a fast correlation neighborhood feature point-based sliding window target tracking system. With the method and system of the invention adopted, the problem of poor real-time performance and low stability of target tracking in a complex condition can be solved. According to the method and system, fast correlation neighborhood feature points, adopted as point of interests, are detected, and therefore, the robustness of target feature description in a complex condition can be enhanced; point of interest screening is carried out through using a window cross-correlation relation, and therefore, the accuracy of the target description can be improved; and sliding window search and adaptive multi-scale template matching online update are adopted in template construction, and target window output is realized through adopting decision voting, and therefore, the accuracy and stability of target tracking in the complex condition can be improved.

Description

technical field [0001] The invention relates to image processing technology, in particular to a sliding window target tracking method and system based on fast correlation neighborhood feature points. Background technique [0002] Object tracking technology has a wide range of applications in the fields of image processing and computer vision, such as abnormal behavior monitoring, traffic flow monitoring, target behavior analysis and other fields. In the real scene, due to the change of the target shape, the sudden change of the external environment of the scene and the interference of multiple targets in the scene, it brings many difficulties to the real-time performance and robustness of target tracking. [0003] At present, researchers at home and abroad have conducted a lot of research on target tracking technology. Qi Zhiquan et al. proposed a template feature selection method in the patent "A Template Feature Selection Method for Target Tracking", which can effectively ...

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): G06T7/20
CPCG06T2207/10016G06T2207/20021
Inventor 朱伟张奔翟尚礼杜瀚宇刘姝含苗锋白俊奇司晓云
Owner NANJING LES ELECTRONICS EQUIP CO LTD
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