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A Altered Moving Target Tracking Method Based on Alo Search

A technology of moving targets and target images, applied in the field of target tracking, can solve the problem of low operation efficiency, and achieve the effect of avoiding excessive calculation cost, improving operation efficiency, and reducing search space.

Active Publication Date: 2020-04-28
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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Problems solved by technology

[0004] Aiming at the technical problems that the existing moving target tracking method is not efficient and contains many adjustment parameters, the present invention proposes a mutation moving target tracking method based on ALO search, and introduces the ALO (Ant Lion Algorithm) search strategy into the moving target. In target tracking, based on the joint action of roulette and elite ant lions, it affects the movement path of ants, improves the operation efficiency of the algorithm, and finally realizes the video target tracking method of motion

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  • A Altered Moving Target Tracking Method Based on Alo Search
  • A Altered Moving Target Tracking Method Based on Alo Search
  • A Altered Moving Target Tracking Method Based on Alo Search

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[0035] 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.

[0036] The idea of ​​the present invention is: (1) the Ant Lion Algorithm (ALO) is introduced into the object tracking, and the object tracking problem is converted into an optimization problem. (2) The search mechanism based on the antlion algorithm is based on the random walk of ants, using roulette to randomly select antlions and elite antlions to jointly affect the walking path of ants, taking into account the global exploration ability and local developmen...

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Abstract

The invention proposes a sudden moving target tracking method based on ALO search, which is used to solve the problems that the existing moving target tracking method has low operating efficiency and involves many adjustment parameters. Initialize the target state parameters and the optimized model parameters of the ALO algorithm; use the ALO algorithm to search for candidate image blocks to achieve target tracking; use the output optimal candidate image block as the target image block of the current frame image and the target state parameters of the next frame to perform Tracking of the next image frame. The present invention adopts a globally optimal motion state search mechanism and fewer model adjustment parameters, based on the search mechanism of the antlion algorithm, on the basis of random walks of ants, and uses roulette to randomly select antlions and elite antlions to jointly affect The ant walking path, with the increase of the number of iterations, gradually narrows the search space and improves the operating efficiency, which can well adapt to the problem of moving target tracking. It is of great significance for the identification, understanding and analysis of the tracking target.

Description

technical field [0001] The present invention relates to the technical field of target tracking, in particular to an ALO search-based mutation moving target tracking method, which realizes the continuous tracking of the target, and has better target continuous tracking when the target has a sudden motion between adjacent image frames of the video. ability. Background technique [0002] Due to the influence of factors such as the tracking environment, the target itself, and camera imaging, there will often be abnormal phenomena of sudden changes in the moving target during the tracking process. Video tracking is actually to select an area of ​​interest in an image sequence or video stream as a target object, and to find the target object in a continuous image sequence, compared to finding the optimal solution on each frame of image. Therefore, video tracking can be transformed into an optimization problem. Aiming at this phenomenon of sudden changes in moving targets, an opt...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/238G06T7/246G06K9/46G06K9/62G06N3/00
CPCG06N3/006G06T7/238G06T7/246G06T2207/10016G06V10/50G06F18/22
Inventor 张焕龙耿盛涛陈宜滨高增张秀娇郑玉彬钱晓亮王延峰贺振东
Owner ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY