Unlock instant, AI-driven research and patent intelligence for your innovation.

Multi-target tracking method based on improved tld

A target tracking and multi-target technology, applied in the field of multi-target tracking based on improved TLD, can solve the problems of tracker failure and inability to re-track, etc., and achieve the effect of high processing speed

Inactive Publication Date: 2019-10-18
UNIV OF ELECTRONICS SCI & TECH OF CHINA +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But this method is easy to accumulate errors, and once the object disappears in the image, the tracker will be permanently invalid, even if the object reappears, it cannot be tracked again

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-target tracking method based on improved tld
  • Multi-target tracking method based on improved tld
  • Multi-target tracking method based on improved tld

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0097] Track 3 moving targets in a video, and the details of the 3 targets are shown in the following table:

[0098]

[0099] Figure 2-1 to Figure 2-5 is the tracking result of the 4th to 5th frames of the video carchase, where diagram 2-1 is the original image of frame 5, Figure 2-2 is the detection result image of the detection module on the fifth frame, Figure 2-3 Indicates the uniform candidate tracking point image generated in frame 4, Figure 2-4 is the remaining tracking point image filtered by calculating the FB error, Figure 2-5 is the final result image obtained after comparing the detection bounding box and the tracking bounding box, indicating the position of the target in the fifth frame.

[0100] The following table lists the detailed data of the tracking process from frame 1 to frame 82:

[0101] frame number NoT DON DTC / ms TTC / ms TC / ms SP 2 1 24 67.110 12.406 85.067 100% 4 1 3 66.727 5.503 80.107 100% ...

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-target tracking method based on an improved TLD, which includes the following steps: whenever a user specifies a new target, the tracking management module calls the tracking establishment function to generate a scanning window set; initializes an independent multi-target Kalman filter, Obtain the first frame of image; start from the second frame of image, according to the following method: call the filter to detect all the targets in the current frame; call the tracker to track all the targets in the previous frame; call the tracking integration function to integrate the filter and the result of the tracker; call the tracking update function to update the filter; whenever the user deletes a target, the tracking management module calls the tracking delete function to delete the corresponding tracking process. The present invention has the advantage of integrating the independent multi-objective Kalman filter and the multi-objective Median-Flow tracker by using the tracking management module, so the purpose of supporting the tracking of multiple unknown targets is realized, and the processing speed is higher than that of TLD.

Description

technical field [0001] The invention relates to a target tracking method, in particular to a multi-target tracking method based on an improved TLD. Background technique [0002] Moving object tracking is an important branch of computer vision and a key issue in machine vision systems, which integrates advanced technologies in many fields such as image processing, pattern recognition, and artificial intelligence. In recent years, more and more scholars and researchers have turned their attention to video tracking. With the deepening of research and the development of technology, video tracking has gradually become an important part of production and life. It has been widely used in civil and military fields such as monitoring, medical diagnosis, and visual guidance. [0003] Video tracking technology has developed many accurate and efficient algorithms based on specific applications in different aspects such as single target or multiple targets, known or unknown targets. At...

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 Patents(China)
IPC IPC(8): G06T7/277
Inventor 吴磊岳翰武德安陈鹏冯江远
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA