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An Improved Online Boosting Target Tracking Method

A target tracking and target block technology, which is applied in image analysis, image enhancement, instruments, etc., can solve problems such as tracking drift

Active Publication Date: 2019-12-10
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above problems, the object of the present invention is to provide an improved online Boosting target tracking method, which solves the tracking drift problem of the traditional online Boosting algorithm when the target appearance changes or the target moves quickly, so as to improve the real-time and robustness of the algorithm

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Embodiment Construction

[0051] 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.

[0052] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described below in conjunction with specific implementation steps. In order to facilitate the description of the content of the present invention, some concepts are explained first.

[0053] 1. HOG feature: the gradient direction histogram feature, which is a feature descriptor used for object detection and tracking...

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Abstract

The present invention is a computer vision. It has disclosed a improved online Boosting target tracking method. For the problem of low -characteristics used by traditional online Boosting algorithms, the present invention uses HOG characteristics to improve the real -time algorithm; secondly, for the traditional, targeting traditional traditionThe Boosting algorithm tracking the problem that is prone to drift, and draw on the idea of combining TLD detection and tracking. The present invention integrates offline training detectors into the tracking process to achieve the combination of online learning and offline learning to improve the robustness of the algorithm;The invention has improved the real -time and robustness of the traditional online Boosting algorithm by using new features and adding the detection module.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to an improved online Boosting target tracking method to realize fast and robust tracking of moving targets. Background technique [0002] Moving object tracking is one of the important research directions in the field of computer vision, and has important applications in robot navigation, virtual reality, intelligent transportation systems, visual surveillance and other fields. Boosting is a concept in machine learning, which was first proposed by Valiant in 1984. He explained what is a weak learning algorithm and what is a strong learning algorithm. He believes that the "weak" result is only slightly higher than the random hypothesis, and the "strong" one The result must meet the classification requirements, but he did not mention how to convert a weak classifier into a strong classifier; Schapire proposed a complete Boosting algorithm in 1989, explaining how to upgrade ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06K9/62
CPCG06T7/248G06T2207/10016G06T2207/20081G06T2207/20021G06F18/23G06F18/214
Inventor 朱红王道江
Owner XIDIAN UNIV