Multi-characteristic matching multi-target tracking method based on Hough forest

A multi-target tracking and multi-feature technology, which is applied in the directions of instruments, calculations, character and pattern recognition, etc., can solve the problem of low accuracy of multi-target tracking, realize multi-target tracking, strengthen description ability, improve the processing of target occlusion and The effect of the ability to deform the situation

Active Publication Date: 2017-09-08
SHANDONG UNIV
View PDF6 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems, the present invention proposes a multi-feature matching multi-target tracking method based on Hough forest. The present invention is based on the tracking framework trained by Hough forest, and utilizes multi-feature fusion and matching multi-target tracking to solve target occlusion, The problem of low accuracy of multi-target tracking in complex environments such as deformation

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
  • Multi-characteristic matching multi-target tracking method based on Hough forest
  • Multi-characteristic matching multi-target tracking method based on Hough forest
  • Multi-characteristic matching multi-target tracking method based on Hough forest

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

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

[0030] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0031] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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 multi-characteristic matching multi-target tracking method based on Hough forest. A conserved and reliable track fragment is obtained through double-threshold correlation. A positive and negative sample set is generated in an online manner according to a sample selecting principle. The Hough forest is constructed. Through Hough forest learning, training samples with color, shape, class and motion information are divided to different leaf nodes. Statistics information of the leaf node is used for forecasting an association probability of two track fragments. When a reliable long-track fragment is obtained, the reliable long-track fragment is converted to a re-matching problem between the tracks. Two manners of similarity measuring and characteristic point matching are used. The reliable long-track fragment is associated to a real track through the association probability, thereby finishing matching. The multi-characteristic matching multi-target tracking method has advantages of settling problems of error accumulation and low tracking precision, improving capability for processing target shielding and deformation, and realizing multi-target tracking in a complicated scene.

Description

technical field [0001] The invention relates to a multi-feature matching multi-target tracking method based on Hough Forest. Background technique [0002] With the popularity of video surveillance systems, the research on target detection and tracking has gradually become a hot research direction in the field of computer vision, and multi-target tracking, as an important branch, mainly locates targets and forms motion trajectories to further confirm each The identity of the target; at the same time, multi-target tracking is also a multi-disciplinary interdisciplinary research topic including image processing, pattern recognition, probability theory and statistical analysis, system control theory, etc., which has strong practical application and academic value. [0003] In recent years, the idea of ​​Tracking by Detection has attracted the attention of many scholars, and gradually formed a target tracking method based on the idea of ​​data association. This method is mainly ...

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): G06K9/00G06K9/62
CPCG06V20/48G06V20/52G06V10/751G06F18/22G06F18/253
Inventor 常发亮梁付新刘洪彬
Owner SHANDONG 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