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Target tracking method and device

A target tracking and to-be-tracked technology, applied in the field of computer vision, can solve the problems of low target tracking efficiency and poor accuracy, and achieve the effect of improving robustness and accuracy, and improving efficiency and accuracy.

Pending Publication Date: 2022-04-08
SHANGHAI HODE INFORMATION TECH CO LTD
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  • Abstract
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  • Claims
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Problems solved by technology

The present application also relates to a target tracking device, a computing device, and a computer-readable storage medium, so as to solve the technical defects of low target tracking efficiency and poor accuracy existing in the prior art

Method used

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  • Target tracking method and device

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Embodiment Construction

[0024] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0025] Terms used in one or more embodiments of the present application are for the purpose of describing specific embodiments only, and are not intended to limit the one or more embodiments of the present application. As used in one or more embodiments of this application and the appended claims, the singular forms "a", "the", and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of th...

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Abstract

The invention provides a target tracking method and device. The target tracking method comprises the following steps: acquiring a to-be-tracked image; inputting the to-be-tracked image into a trained target tracking model to obtain a target tracking result of the to-be-tracked image; wherein the target tracking model comprises a classification branch and a regression branch, the target tracking model is obtained by training a preset neural network based on a regression sample and a classification sample, and the regression sample is determined according to initial classification loss of an initial sample obtained through the classification branch; the classification sample is determined according to the initial regression loss of the initial sample obtained through the regression branch. The method effectively guarantees the alignment of classification and regression results in the training process, thereby improving the robustness and precision of the target tracking model, and effectively improving the efficiency and accuracy of target tracking by using the target tracking model.

Description

technical field [0001] The present application relates to the technical field of computer vision, in particular to a target tracking method. The present application also relates to a target tracking device, a computing device, and a computer-readable storage medium. Background technique [0002] Object tracking is one of the most important research topics in the field of computer vision. After years of development, from the traditional sparse subspace tracking method, to the correlation filter tracking method, to the current tracking method based on the deep Siamese network, the target tracking technology has made great breakthroughs in accuracy and speed. Thanks to the continuous optimization of tracking algorithms and the upgrading of intelligent hardware, object tracking has been widely used in fields such as intelligent transportation, industrial robots, and autonomous driving. [0003] In the prior art, target tracking based on deep twin network is usually used. The p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246G06N3/08G06N3/04G06K9/62G06V10/774G06V10/764G06V10/766G06V10/82
Inventor 褚宏琳
Owner SHANGHAI HODE INFORMATION TECH CO LTD
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