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Method and storage device and control device for target tracking in video

A target tracking and video technology, applied in the field of image processing, can solve the problems of high data set dependence, single feature, poor real-time performance, etc., achieve high real-time tracking, enhanced feature matching effect, and improved accuracy

Active Publication Date: 2022-07-29
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problems of single feature, poor real-time performance, and high dependence on data sets in the prior art, the present invention proposes a method for object tracking in video, a storage device and a control device, which have short feature extraction time and Effective, strong matching effect, high real-time tracking advantages

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  • Method and storage device and control device for target tracking in video

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Embodiment Construction

[0059] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0060] It should be noted that, in the description of the present invention, the terms "first" and "second" are only for the convenience of description, rather than indicating or implying the relative importance of the devices, elements or parameters, and therefore should not be construed as a reference to the present invention. Invention limitations.

[0061] figure 1 It is a schematic diagram of the main steps of the embodiment of the method for target tracking in video according to the present invention. like figure 1 As shown, the method of this embodiment includes steps S1-S7:

[0062] In step S1, the image sequence is preproc...

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Abstract

The invention relates to the technical field of image processing, in particular to a method, storage device and control device for target tracking in video, aiming at solving the problem of poor real-time performance in the prior art. The method of the present invention includes: preprocessing an image sequence to obtain a sub-image sequence to be processed; performing motion detection and clustering on the first frame and the second frame image in the sub-image sequence to be processed, and then selecting a target area; and each subsequent frame, the current frame and the adjacent previous frame are subjected to motion detection, clustering, or screening to obtain sub-target candidate regions; image features are extracted from the target region and each sub-target candidate region and matched; The sub-target candidate area with the matching degree higher than the first threshold is used as the tracking result of the current frame; the sub-target candidate area with the matching degree higher than the second threshold is updated as the target area for subsequent frame tracking. The invention has the advantages of short and effective feature extraction time, strong matching effect and high tracking real-time performance.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method, storage device and control device for target tracking in video. Background technique [0002] With the rapid development of computing technology and image processing technology, target tracking technology in video has been widely used in the fields of intelligent video surveillance, robot visual navigation, virtual reality and medical diagnosis. Simply put, target tracking is to give the initial position of the target in the first frame, and then use the tracking algorithm to calculate the position information of the target in each subsequent frame of image. At the same time, in the actual video target tracking application, the requirements for real-time performance are relatively high. [0003] From the perspective of the target model, target tracking algorithms are mainly divided into two categories: generative methods and discriminative methods: ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06T7/136G06T7/62G06K9/62G06V10/46G06V10/74G06V10/762
CPCG06T7/246G06T7/136G06T7/62G06T2207/10016G06V10/25G06V10/462G06F18/23
Inventor 历宁蒿杰舒琳孙亚强
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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