基于改进的核相关滤波器的长期目标跟踪算法

doi:10.3969/j.issn.1006-2475.2019.01.002

计算机与现代化 ›› 2019, Vol. 0 ›› Issue (01): 6-.doi: 10.3969/j.issn.1006-2475.2019.01.002

基于改进的核相关滤波器的长期目标跟踪算法

(1.河海大学物联网工程学院,江苏常州213022;2.江苏省高校特种机器人技术重点实验室,江苏常州213022)

收稿日期:2018-06-01 出版日期:2019-01-30 发布日期:2019-01-30
作者简介:张雪(1992-),女,安徽阜阳人,硕士研究生,研究方向:智能监控，E-mail: zxhwq24968@163.com; 倪建军(1978-),男,江苏常州人,教授,博士生导师,博士,研究方向:多机器人系统,机器学习,复杂系统建模与控制。
基金资助:
国家自然科学基金资助项目(61203365,61573128); 中央高校基本科研业务费专项资金项目(2018B23214)

Long-term Target Tracking Algorithm Based on Improved Kernel Correlation Filter

(1. College of Internet of Things Engineering, Hohai University, Changzhou 213022, China;
2. Jiangsu Universities and Colleges Key Laboratory of Special Robot Technology, Changzhou 213022, China)

Received:2018-06-01 Online:2019-01-30 Published:2019-01-30

摘要/Abstract

摘要： 针对核相关滤波器跟踪算法在视觉目标跟踪中因遮挡产生的目标丢失后，无法重新准确地跟踪目标问题，提出一种基于GM(1,1)灰色预测模型和间隔性模板匹配的改进的核相关滤波器跟踪算法。实验结果表明，在复杂环境下，所提出的改进算法与传统的核相关滤波器目标跟踪算法相比，综合性能有很大的提高，与其他跟踪算法相比也有一定的优势。

Abstract: Aiming at this problem that the tracking algorithm of kernel correlation filter cannot track the target accurately again after the loss of the visual target because of the occlusion, an improved kernel correlation filter tracking algorithm based on GM(1,1) grey prediction model and interval template matching is proposed. The experimental results show that the proposed algorithm has a great improvement compared with the traditional kernelized correlation filter tracking algorithm in the complex environment. At the same time, it has some advantages over other state-of-the-art methods.

Key words: visual target tracking, kernelized correlation filter, validation region, GM(1,1) grey prediction model

中图分类号:

TP391

张雪1,倪建军1，2,陈颜1. 基于改进的核相关滤波器的长期目标跟踪算法[J]. 计算机与现代化, 2019, 0(01): 6-.

ZHANG Xue 1, NI Jian-jun 1,2, CHEN Yan1. Long-term Target Tracking Algorithm Based on Improved Kernel Correlation Filter[J]. Computer and Modernization, 2019, 0(01): 6-.

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基于改进的核相关滤波器的长期目标跟踪算法

Long-term Target Tracking Algorithm Based on Improved Kernel Correlation Filter

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