Visual significance-based interference sensing and tracking algorithm

A tracking algorithm, a significant technology, applied in computing, computer components, image data processing, etc., can solve the problems of affecting the tracking effect, low resolution, and target tracking methods are susceptible to light changes, etc.

Active Publication Date: 2018-08-24
CHANGSHA NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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 exist

Method used

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  • Visual significance-based interference sensing and tracking algorithm
  • Visual significance-based interference sensing and tracking algorithm
  • Visual significance-based interference sensing and tracking algorithm

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Embodiment Construction

[0097] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. And the features in the embodiments can be combined with each other.

[0098] Such as figure 1 As shown, a visual saliency-based interference-aware tracking algorithm provided by an embodiment of the present invention includes the following steps:

[0099] S1. After parameter initialization, input a video image;

[0100] S2. Using the gradient direction histogram feature to characterize the appearance model of the target to be tracked in the image, and calculate the gradient direction histogram perturbation model;

[0101] S3, using the Bayesian classifier to calculate the output response according to the histogram perturbation model, and calculating the context-aware correlation tracking response according to the gradient...

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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...

Claims

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Application Information

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IPC IPC(8): G06T7/269G06K9/62G06T5/40G06T7/277
CPCG06T5/40G06T7/269G06T7/277G06T2207/10016G06T2207/30232G06F18/24155
Inventor 张博
Owner CHANGSHA NORMAL UNIV
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