Real-time tracking method of multi-channel kernelized correlation filter

A technology of kernel correlation filtering and real-time tracking, applied in the fields of image processing and computer vision, to achieve the effect of speed improvement and performance improvement

Active Publication Date: 2017-04-05
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0005] The technical problem to be solved in the present invention is to fuse multi-channel features through kernel functions, extend linear correlation filtering to nonlinear correlation filtering, and propose a real-time tracking meth...

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[0042] In order to make the purpose, technical route and beneficial effects of the present invention clearer, the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0043] Since the appearance of the target between two consecutive frames changes very little (high similarity), a filter template is obtained by learning the target information of the previous frame through ridge regression, and the image of the current frame is detected with the obtained filter template, and the corresponding The peak position in the filtered response is the target position for the current frame. The method of the present invention is mainly divided into three parts: the training stage, the detection stage and the update stage. The training stage: process the target information of the last frame through the ridge regression method to obtain the filter template; the detection stage: use the obtained filter template to filter th...

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Abstract

The invention discloses a real-time tracking method of a multi-channel kernelized correlation filter. The method includes the following steps: a training step of conducting ridge regression on a previous frame of object information to acquire a filtering template; a detection step of detecting the current frame of image with the acquired filtering template and outputting a filtering response; an updating step of real-time updating the filtering template and the appearance of an object. According to the invention, the method uses kernel function to fuse multi-channel characteristics, overcomes the selection limit of the multi-channel characteristics, and transforms the problem of linear optimization of ridge regression to the problem of non-linear optimization of a higher space through the kernel function, such that the filtering template with excellent robustness is constructed, the speed of a tracking machine is greatly increased, and tracking requirements of real world can be met.

Description

technical field [0001] The invention belongs to the field of image processing and computer vision, and in particular relates to a real-time tracking method of multi-channel kernel correlation filtering. Background technique [0002] In computer vision, object tracking is a fairly extensive research field, and it has a very wide range of applications in the fields of automatic monitoring, video indexing, traffic monitoring, and human-computer interaction. Although researchers have proposed many algorithms in the past decade, how to build a stable and efficient tracking system to deal with the appearance changes, fast motion, scale changes and occlusions of objects is still a challenging task. [0003] Most of the existing high-precision trackers build complex appearance models and extract a large number of candidate particles, and calculate the similarity or confidence value between each candidate particle and the tracking result of the previous frame through traversal. Ther...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/214
Inventor 胡昭华邢卫国王珏郭业才
Owner NANJING UNIV OF INFORMATION SCI & TECH
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