Target tracking method and system based on multi-feature map fusion and storage medium

A target tracking and feature map technology, applied in the target tracking method and system field of multi-feature fusion, can solve problems such as background similarity interference, illumination change, occlusion, etc., and achieve the effect of enhancing robustness and improving accuracy.

Pending Publication Date: 2020-10-09
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0005] Although there are many tracking methods, there are still many challenges in the actual scene, such as illumination changes, background similarity interference, occlusion, target deformation problems, etc.
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  • Target tracking method and system based on multi-feature map fusion and storage medium
  • Target tracking method and system based on multi-feature map fusion and storage medium
  • Target tracking method and system based on multi-feature map fusion and storage medium

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Embodiment Construction

[0032] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0033] The technical scheme that the present invention solves the problems of the technologies described above is:

[0034] Such as figure 1 Shown is a target tracking method based on multi-feature map fusion, which includes the following steps:

[0035] S1. Send the image of the target area to be tracked and the image of the search area in the current frame that have been marked in the initial frame of the video to the same feature extraction network, and obtain three output feature maps respectively;

[0036] S2. Convolute and fuse the three output feature maps of the image of the target area and the image with the search area to obtain fused feature maps respectively;

[0037] S3. Send the two fused ...

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Abstract

The invention requests to protect a target tracking method and system based on multi-feature map fusion and a storage medium. The method comprises the steps: S1, enabling a to-be-tracked target regionimage marked with a position in an initial frame and a current frame search region image to be transmitted to a same feature extraction network to respectively obtain three output feature maps; S2, carrying out convolution on the three output feature maps; S3, respectively sending the fused feature map into a classification branch and a regression branch, obtaining a target position response mapin the classification branch, and obtaining scale transformation and translation of the current position to the target position in the regression branch; and S4, predicting the position of the targetto be tracked in the current frame in combination with the maximum response area of the classification branch and the target movement amount of the regression branch. According to the invention, the robustness and accuracy of the tracking method under the complex conditions of large target scale change and the like are improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a target tracking method and system based on multi-feature fusion of a convolutional neural network. Background technique [0002] The target tracking method belongs to the field of computer vision, and has a wide range of applications in military security entertainment and many other aspects. Target tracking methods are mainly divided into two categories: tracking methods based on traditional methods and tracking methods based on convolutional neural networks. [0003] Among the tracking methods based on traditional methods, correlation filtering is the most representative. The core idea is to use the circular matrix of the area around the target to make positive and negative sample sets during training, and use ridge regression to train a target detector, and use the detector to identify the position of the target during tracking. Because it is offline training, the ...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06K9/62G06N3/04G06N3/08
CPCG06T7/246G06N3/08G06T2207/10016G06T2207/20081G06T2207/20084G06N3/045G06F18/241
Inventor 李伟生赖晨
Owner CHONGQING UNIV OF POSTS & TELECOMM
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