Mutational motion target tracking method based on self-adaptive whale optimization

Abstract

The invention provides a mutational motion target tracking method based on self-adaptive whale optimization. The method is used for solving the problems that an existing method is not high in operation efficiency and low in convergence speed. The method comprises the following steps: initializing state parameters and model parameters of a self-adaptive whale optimization algorithm; randomly generating a coordinate position according to an adaptive whale optimization algorithm, intercepting an area with the same size as the target image block as a candidate image block, and updating the position of the candidate image block according to a shrinkage encircling mechanism or a spiral updating mechanism; taking the candidate image block with the maximum similarity value with the target image block as an optimal candidate image block, and utilizing a one-fifth principle to nonlinearly and dynamically adjust an exploration step length of a shrinkage encircling mechanism; and using the optimalcandidate image block as a target image block of the current frame and a target state parameter of the next frame to track the next frame of image.The global optimal stability and the capability of jumping out of the local optimal are improved, the operation efficiency is improved, and the method can well adapt to the moving target tracking problem.

Description

technical field [0001] The present invention relates to the technical field of target basis, in particular to a method for tracking a sudden moving target based on adaptive whale optimization, which can well realize continuous tracking of the target when there is sudden movement of the target between adjacent frames. Background technique [0002] In the field of computer vision, the tracking of moving targets in video is a hot research issue, but due to the complexity of the tracking environment, the uncertainty of target motion and camera imaging and other factors, the displacement of the target in two adjacent frames of images often results It is very large, causing the target tracking to fail. For the phenomenon of target mutation, many traditional algorithms based on the assumption of target smoothness are easy to track failure. Video tracking can often be transformed into a problem of finding the optimal value in an image sequence or video, so the phenomenon of target ...

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Problems solved by technology

[0004] Aiming at the technical problems that the existing moving target tracking method is not high in operation efficiency, contains more adjustment parameters, and has a slow convergence speed, the present invention proposes a mutation moving target tracking method based on adaptive whale optimization, which introduces AWOA search into In tracking, use the one-fifth principle to strengthen the global search ability of AWOA algorithm to solve the target tracking problem of mutation movement

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