基于点轨迹的核相关滤波器跟踪算法

吕韵秋; 刘凯; 程飞

doi:10.11959/j.issn.1000-436x.2018097

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基于点轨迹的核相关滤波器跟踪算法

学术通信 | 更新时间：2024-06-05

- 基于点轨迹的核相关滤波器跟踪算法
- Kernelized correlation tracking based on point trajectories
- 通信学报 2018年39卷第6期页码：190-198
- 作者机构：
  
  西安电子科技大学计算机学院，陕西西安 710071
- 作者简介：
  
  [ "吕韵秋（1994-），女，江苏徐州人，西安电子科技大学硕士生，主要研究方向为目标跟踪、机器学习。" ]
  [ "刘凯（1977-），男，陕西西安人，博士，西安电子科技大学教授，主要研究方向为图像编码、FPGA/嵌入式片上系统。" ]
  [ "程飞（1985-），男，陕西宝鸡人，博士，西安电子科技大学讲师，主要研究方向为机器学习、目标跟踪。" ]
- 基金信息：
  
  国家自然科学基金资助项目(91538101);国家自然科学基金资助项目(61571345)
- DOI：10.11959/j.issn.1000-436x.2018097
  中图分类号： TP391
- 网络出版日期：2018-06，
  
  纸质出版日期：2018-06-25
- 稿件说明：
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吕韵秋, 刘凯, 程飞. 基于点轨迹的核相关滤波器跟踪算法[J]. 通信学报, 2018,39(6):190-198.

Yunqiu LYU, Kai LIU, Fei CHENG. Kernelized correlation tracking based on point trajectories[J]. Journal on communications, 2018, 39(6): 190-198.
吕韵秋, 刘凯, 程飞. 基于点轨迹的核相关滤波器跟踪算法[J]. 通信学报, 2018,39(6):190-198. DOI： 10.11959/j.issn.1000-436x.2018097.

Yunqiu LYU, Kai LIU, Fei CHENG. Kernelized correlation tracking based on point trajectories[J]. Journal on communications, 2018, 39(6): 190-198. DOI： 10.11959/j.issn.1000-436x.2018097.

摘要

视频跟踪是计算机视觉领域的重要研究方向之一。然而，目标跟踪过程中的遮挡问题会导致视频中目标信息的缺失，因此许多算法无法稳定地跟踪目标。针对遮挡问题，提出一种基于点轨迹的核相关滤波器跟踪算法。通过对目标及其周围物体长期运动轨迹的估计，使用谱聚类对点轨迹进行标记，以区分目标区域与背景区域，从而判断目标是否发生遮挡或漂移，决定是否启用重检测机制对目标进行检测。实验证明，该方法对遮挡和漂移问题具有较强的顽健性。

Abstract

Visual tracking is one of the most important directions in computer vision.However

many state-of-the-art algorithms cannot track the interested object reliably due to occlusion during tracking process

which leads to deficiency of object information.In order to solve occlusion problem

a kernelized correlation tracking method based on point trajectories was proposed.Through analyzing long-term motion cues of the local information

point trajectories were labeled by spectral clustering.These labeled points were used to differentiate the foreground and background objects and thus detect whether the target was occluded or drifts.If drifting and occlusion occur

re-detection was used to detect the re-entering of the target.Experimental results show that the proposed algorithm can handle occlusion and drifting problems effectively.

关键词

Keywords

references

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