Target tracking model training method and device

A target tracking and model technology, applied in the field of target tracking model training, can solve problems such as inaccurate tracking results, pollution, and tracking failures.

Active Publication Date: 2020-09-04
杭州雄迈集成电路技术股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, when situations such as target occlusion, pollution, deformatio

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  • Target tracking model training method and device
  • Target tracking model training method and device
  • Target tracking model training method and device

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Embodiment Construction

[0055] The exemplary embodiments will be described in detail here, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present application. Rather, they are merely examples of devices and methods consistent with some aspects of the application as detailed in the appended claims.

[0056] The terms used in this application are only for the purpose of describing specific embodiments, and are not intended to limit the application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and...

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Abstract

The invention provides a target tracking model training method and device. The training method of a target tracking model comprises the follwoiing steps of training a target tracking model based on asample image pair, wherein the sample image pair comprises a template image and a search image; wherein the search image is marked with a classification label and a weight label corresponding to a pixel point of the search image; the method comprises the following steps: carrying out iterative training by utilizing the following steps until the model training requirements of a target tracking model are met: inputting a sample image pair into the target tracking model, and predicting based on the target tracking model to obtain the similarity between a search image and a template image; determining similarity loss of the iteration according to the similarity, the classification label and the weight label; and updating model parameters of the target tracking model according to the similarityloss. The accuracy of target tracking can be improved.

Description

Technical field [0001] This application relates to the field of artificial intelligence, and in particular to a method and device for training a target tracking model. Background technique [0002] Target tracking technology is an important branch in the field of computer vision, and has very important research significance. It has broad application prospects in many aspects such as video surveillance, robot vision navigation, human-computer interaction, and medical diagnosis. Target tracking refers to the detection, extraction, recognition and tracking of moving targets in an image sequence to obtain the motion parameters of the moving target, such as position, speed, acceleration, and motion trajectory. [0003] During target tracking, since the target is generally moving, it is prone to occlusion, pollution, or deformation of the target. For example, the target occlusion can be a situation where a part of the pedestrian's body is blocked by a tree, a car, or a building when the...

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Application Information

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IPC IPC(8): G06T7/246G06K9/00G06K9/32G06K9/62
CPCG06T7/251G06V20/40G06V10/25G06F18/214
Inventor 张浩
Owner 杭州雄迈集成电路技术股份有限公司
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