Video target tracking method based on compressive sensing

A target tracking and compressed sensing technology, which is applied in the field of pattern recognition and computer vision, can solve problems such as increased calculation, weakened real-time tracking, and slowed processing speed

Inactive Publication Date: 2015-03-04
NORTHWESTERN POLYTECHNICAL UNIV
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, in order to improve the stability and accuracy of tracking, a large amount of information on ta...

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 target tracking method based on compressive sensing
  • Video target tracking method based on compressive sensing
  • Video target tracking method based on compressive sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0037] The hardware environment used for implementation is: DSP6000 series DM642 digital signal processor, and the running software environment is: Code Composer Studio 3.3+BIOS+TI IMG LIB.

[0038] The method proposed by the present invention is realized by using the C programming language. Firstly, it is tested and verified on a PC platform, and after the verification is successful, it is transplanted and debugged on a digital signal processor. The PC platform uses a 320×240 pixel video sequence for tracking, and the Visual Studio+Open CV software platform is used for experiments. The DSP platform uses a CCD digital camera for image acquisition, with an image size of 576×720 pixels. The BIOS system is used for multi-tasking processing, image acquisition is transcoded, image output is displayed, and target tracking is divided into three tasks, which are processe...

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 relates to a video target tracking method based on compressive sensing. The video target tracking method comprises the steps of firstly, generating a sparse projection matrix according to the compressive sensing theory and performing sparse projection dimensionality reduction on positive and negative samples obtained by sampling to create a Bayes classifier, and when next frame of frame comes, performing sampling around the obtained target position of a prior frame, obtaining the most possible target position by classifying by use of the classifier, updating the target position and updating the parameters of the classifier. The video target tracking method based on compressive sensing is capable of effectively overcoming the problem of unstable tracking caused by target characteristic change, and capable of effectively reducing the computation complexity and shortening the tracking time by compressing high-dimensional information into low-dimensional information according to the compressive sensing theory.

Description

technical field [0001] The invention belongs to the fields of pattern recognition and computer vision, and in particular relates to a video target tracking method based on compressed sensing. Background technique [0002] Object tracking has many practical applications, and is widely used in the fields of human-computer interaction, video surveillance, and behavior analysis. It is one of the key technologies in the field of computer video surveillance. At present, the tracking problems that domestic and foreign scholars pay attention to mainly focus on the improvement of tracking robustness, accuracy and rapidity under the conditions of scene crowding, scene interference with similar features, occlusion, and target appearance changes. [0003] In the traditional tracking method, because the camera captures a large amount of data with complete structure and high redundancy, the data transmission time is long, and the information processing calculation is heavy, so it is diffi...

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): G06T7/20G06K9/64
CPCG06T7/285G06T2207/10016G06F18/241
Inventor 赵天云毕瑞星郭雷
Owner NORTHWESTERN POLYTECHNICAL 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