A target tracking method based on a three-branch neural network

A neural network and target tracking technology, applied in the field of computer vision, can solve the problems of slow speed and low accuracy of visual target tracking, and achieve the effects of avoiding drift, strong recognition, and good distinction

Inactive Publication Date: 2019-06-14
HARBIN ENG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a target tracking method based on a three-branch neural network. The present invention proposes a three-branch target tracking network for improving the accuracy and speed of visual target tracking; it has high robustness and strong recognition, which is enough to deal with reality. Various challenging real environments exist in the application, solving the problems of low precision and slow speed of traditional visual target tracking

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  • A target tracking method based on a three-branch neural network
  • A target tracking method based on a three-branch neural network
  • A target tracking method based on a three-branch neural network

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Embodiment Construction

[0057] The present invention will be further described below in conjunction with the accompanying drawings.

[0058] In order to solve the problems of low accuracy and slow speed of traditional visual target tracking, the purpose of the present invention is to propose a target tracking method based on a three-branch neural network.

[0059] In order to achieve the above-mentioned technical purpose, the present invention proposes a target tracking method based on a three-branch neural network, as figure 1 As shown, the establishment of the visual single target tracking algorithm can be basically divided into six steps: target initialization, target appearance modeling, target state search, target state update, target model cycle optimization, and tracking result display. Such as figure 1 The steps of the object tracking method shown include:

[0060] Step 1: Target initialization, designing training examples to train the three-branch target tracking network proposed by the pr...

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Abstract

The invention discloses a target tracking method based on a three-branch neural network, and belongs to the technical field of computer vision. Visual target tracking belongs to video analysis and serves as an important branch in the field of computer vision, and the basic task of the visual target tracking is to predict the position, area and motion track of a target in a video sequence accordingto given position information of the target in an initial frame. The precision and speed of visual target tracking are low, and the visual target tracking is easily affected by shielding, backgroundconfusion, size change, severe appearance change, illumination change and the like. The invention provides a target tracking method based on a three-branch neural network. Compared with the traditional visual target tracking technology, the three-branch neural network is utilized to track the target, so that the target can be represented with high robustness, the obvious change of the appearance of the target can be handled, the background can be well distinguished, and meanwhile, the drifting of the algorithm can be effectively avoided. And the tracking speed is far higher than that of otheralgorithms.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a target tracking method based on a three-branch neural network. Background technique [0002] Visual target tracking belongs to video analysis. As an important branch in the field of computer vision, its basic task is to predict the position, area and trajectory of the target in the video sequence based on the position information of the given target in the initial frame, so as to go further. On the basis of moving target recognition and classification, it can complete advanced visual tasks such as target motion gesture recognition, motion trend prediction and abnormal behavior detection. [0003] How to have a tracker with high robustness and a relatively accurate recognition ability, which can not only deal with changes in the appearance of the target itself but also deal with complex backgrounds and occlusions, is the main problem facing the current tracki...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00
Inventor 关键漆舒汉孙建国刘加贝林尤添袁野
Owner HARBIN ENG UNIV
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