Visual significance-based interference sensing and tracking algorithm

Abstract

The invention discloses a visual significance-based interference sensing and tracking algorithm. The visual significance-based interference sensing and tracking algorithm comprises the steps of S1, inputting a video image; S2, representing the appearance model of a to-be-tracked target in the image by utilizing the characteristics of a gradient orientation histogram, and calculating to obtain a histogram disturbance model in the gradient direction; S3, calculating the output response and the context awareness correlation tracking response; S4, carrying out weighted fusion to obtain a target weighted response, adopting a position where the maximum response is located as the position of the to-be-tracked target, and estimating the target scale and the position change; S5, when the to-be-tracked target is shielded, calculating to obtain a visual saliency map, and estimating the position of the to-be-tracked target according to the position of a candidate target; S6, according to the condition of the to-be-tracked target, updating the appearance model and the disturbance model; S7, inputting the next frame of the image, and returning to the step S1. According to the algorithm, the problem in the prior art that the existing target tracking method is easily influenced by factors such as illumination change, low resolution, scale change, shielding, similar targets, noisy backgrounds and the like so as to cause the poor tracking effect can be solved.

Description

technical field [0001] The invention belongs to the technical field of image target tracking, and in particular relates to an interference perception tracking algorithm based on visual salience in complex scenes. Background technique [0002] Intelligent Monitoring System (Intelligent Monitor System, IMS), which uses image processing, pattern recognition and computer recognition technology, by adding an intelligent analysis module to the monitoring, using the powerful data processing capabilities of the computer to filter out useless or disturbing information in the video screen, Automatically identify different objects, analyze and extract the available information in the image, quickly and accurately locate the accident scene, judge the abnormal behavior in the monitoring screen, and issue an alarm or trigger other actions in the fastest and best way, so as to effectively carry out pre-alarm, A fully automatic, all-weather, real-time monitoring intelligent system that hand...

AI Technical Summary

Problems solved by technology

[0012] The purpose of the present invention is to avoid the deficiencies in the prior art and provide a visual saliency-based interference-aware tracking algorithm to solve the problem that the existing target tracking method is vulnerable to illumination changes, low resolution, scale changes, occlusion, similar targets, etc. and noisy background and other issues that affect the tracking effect

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