Target tracking method and device

A target tracking and target location technology, applied in the field of target tracking methods and devices, can solve problems such as drift tracking, low tracking accuracy, and affecting the ability of continuous tracking of targets, and achieve fast tracking and strong robustness

Active Publication Date: 2015-04-29
BEIHANG UNIV
View PDF2 Cites 47 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method of online update greatly affects the ability of continuous tracking of the target. If an appearance model is updated with obvious noise, errors will accumulate, and eventually lead to obvious drift or even tracking failure.
[0012] To sum up, in the existi

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 and device
  • Target tracking method and device
  • Target tracking method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0077] In this embodiment, the target tracking standard established by Y. Wu is used to test the video set. These video sequences provide a large number of scene changes and motions of objects. These include challenging influence factors such as illumination changes, large scale and pose changes, fast movement, similar information, etc. All experiments were performed on a 2.7Ghz PC with 2.0GB RAM. The calculation speed frame is expressed in FPS per second.

[0078] The two most commonly used evaluation standards, Precision and Success Rate, are used for quality evaluation. A widely used tracking evaluation method is center location error (CLE), which represents the Euclidean distance between the center location of the tracked object and the manually labeled ground truth. As a score of accuracy, for each tracker we set a threshold of 20 pixels and calculate the percentage of all images with CLE less than this threshold. Another evaluation method is Pascal VOCoverlap ratio (...

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 and device. The method includes the first step that in an initialized frame, a special mapping link is designed to convert an image into multi-vector mixing features; the second step that extracted multi-vector mixing features are adopted to train a multi-vector correlated filter; the third step that aiming at subsequent sequence images, the trained multi-vector correlated filter is adopted to generate confidence maps of all search locations; the fourth step that the peak value of the confidence maps is selected as a target position, multi-vector mixing features are extracted from the target position through the method the same as the method in the first step, and on-line updating is performed on the correlated filter. By the adoption of the target tracking method and device, a target without prior information can be tracked, high robustness can be achieved on illumination, rotation, shielding and other challenging factors, and quick tracking can be achieved.

Description

technical field [0001] The invention relates to computer vision technology, in particular to a target tracking method and device. Background technique [0002] Object tracking has been studied for many years, and many excellent algorithms have been proposed to handle a variety of different tasks. Object tracking is still a very challenging research task in the field of computer vision because objects are affected by various factors such as illumination, deformation, and occlusion. It is widely used in real life, including video surveillance, human-computer interaction, and video retrieval. [0003] Single object tracking is the most common tracking problem, where most algorithms track an unspecified object without any prior information available. The initial state of the target (position information and scale information) is given in the first frame of the video, and the purpose of tracking is to evaluate the state of the target in subsequent video frames and calculate the...

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): G06T7/20G06K9/62
Inventor 魏振忠阮洋
Owner BEIHANG 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