A target tracking method based on a double-branch space-time regularization correlation filter

A correlation filter and target tracking technology, applied in the field of computer vision, can solve the problem of poor tracking performance of the twin full convolution network tracker, and achieve the effect of reducing training time, improving discrimination, and optimizing tracking accuracy.

Active Publication Date: 2019-05-07
NANJING UNIV OF POSTS & TELECOMM
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the tracked object has significant appearance changes, the tracking performance of Siamese fully convolutional network trackers will become poor

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
  • A target tracking method based on a double-branch space-time regularization correlation filter
  • A target tracking method based on a double-branch space-time regularization correlation filter
  • A target tracking method based on a double-branch space-time regularization correlation filter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0029] refer to Figure 1 to Figure 4 , in an embodiment of the present invention, a target tracking method based on a dual-branch spatiotemporal regularization correlation filter is provided, which is used to perform a tracking operation of tracking a target based on an image frame in a video. Specifically, the method includes steps:

[0030] S1. Add a correlation filter layer composed of correlation filters to the twin full convolution network including the appearance branch network and the semantic branch network to realize end-to-end training and learning between the correlation filter and the twin full convolution network.

[0031]In a specific embodiment, the method of ...

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 based on a double-branch space-time regularization correlation filter. The method is used for tracking a target based on an image frame in a video. Themethod comprises the following steps: S1, adding a correlation filter layer composed of correlation filters on a twin full convolutional network comprising an appearance branch network and a semanticbranch network to realize end-to-end training learning between the correlation filters and the twin full convolutional network; S2, combining the appearance branch network with the semantic branch network to improve the discrimination of the twinning full convolution network to the image frame containing the tracking target in the target tracking process; S3, regularizing the correlation filter through space-time regularization, and processing the image frame through the correlation filter which is regularized through space-time regularization, so that tracking of a tracking target is achieved; According to the invention, the tracking precision and the tracking speed can be effectively improved.

Description

technical field [0001] The invention belongs to the field of computer vision, in particular to a target tracking method based on a double-branch space-time regularization correlation filter. Background technique [0002] Visual object tracking is an important research direction in computer vision, and it has a wide range of applications, such as: video surveillance, human-computer interaction, unmanned driving, etc. Visual object tracking is the most fundamental and challenging task in the field of computer vision. On the one hand, because the target tracking lacks the prior information of the target, only the target bounding box of the first frame is given to locate the position in all frames in the following video sequence. When the target moves, deforms or changes in appearance due to various reasons, it will be difficult to distinguish the target from the background when tracking. On the other hand, it is difficult to design real-time and high-performance trackers to h...

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): G06T7/246G06N3/08G06N3/04
Inventor雎学文朱松豪朱静怡郭文波
OwnerNANJING UNIV OF POSTS & TELECOMM