Robot vision tracking method and system

A technology of robot vision and tracking system, applied in the field of robot vision, can solve problems such as tracking drift

Active Publication Date: 2020-04-24
NAVAL AVIATION UNIV
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AI Technical Summary

Problems solved by technology

The advantage of the compressed sensing tracking algorithm is that it is fast, but the use of random matrix dimensionality reduction is likely to cause tracking drift after the target is occluded

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  • Robot vision tracking method and system
  • Robot vision tracking method and system

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Embodiment Construction

[0064] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0065] The object of the present invention is to provide a robot visual tracking method and system, which improves the efficiency and reliability of visual tracking.

[0066] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0067] Aiming at the problems that existing c...

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Abstract

The invention relates to a robot vision tracking method and system. The method includes: obtaining a trained naive Bayesian classifier by utilizing a Monte Carlo algorithm and a compressed sensing theory according to a frame image at the moment t; sampling the frame image at the t + 1 moment to obtain a plurality of images to be tracked; using a Monte Carlo algorithm and a compressed sensing theory to perform dimension reduction on the plurality of images to be tracked respectively to obtain a compressed feature vector of each image to be tracked at the t + 1 moment; and inputting the compressed feature vector of each to-be-tracked image at the t + 1 moment into the trained naive Bayesian classifier, and performing target and background classification to obtain a tracking target at the t +1 moment. According to the robot vision tracking method and system provided by the invention, the Monte Carlo and the compressed sensing are combined, so that the vision tracking efficiency and reliability are improved.

Description

technical field [0001] The invention relates to the field of robot vision, in particular to a robot vision tracking method and system. Background technique [0002] In recent years, continuous progress in the fields of machine learning, cognitive science, and cognitive neuroscience has given great impetus to intelligent robots. Visual object tracking is one of the most widely used and important problems in computer vision, and is widely used in object monitoring, human-computer interaction, and medical imaging. Visual object tracking is by algorithmically estimating the object state in subsequent frames given the initial state (e.g., location and size) of the object in a video frame. Although object tracking has been studied for decades and has made great progress, it is still a very challenging problem. Many factors affect the performance of tracking algorithms, such as occlusions, object motion, and complex backgrounds. In recent years, many object tracking methods have...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/42G06F18/213G06F18/214
Inventor 但波洪梓榕高山戢治洪
Owner NAVAL AVIATION UNIV
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