计算机与数字工程2024，Vol.52Issue(10)：2967-2971,2983,6.DOI:10.3969/j.issn.1672-9722.2024.10.020
基于核相关滤波的深空目标跟踪算法
Space Target Tracking Algorithm Based on Kernelized Correlation Filter
程鑫 1黄鹂 2明德烈1
作者信息
- 1. 华中科技大学人工智能与自动化学院 武汉 430074
- 2. 北京航天自动控制研究所 北京 100854
- 折叠
摘要
Abstract
As the infrared detector approaches the target,the imaging of the target in the focal plane will change from small to large.At close range,it will be imaged in the form of area target.With the approach of distance,the scale change of the target will become more and more intense.Aiming at the problem that the classical kernelized correlation filter algorithm cannot cope with the scale-variable and occlusion,this paper proposes a kernelized correlation filters tracking algorithm that integrates scale filtering.Af-ter the position filter predicts the target position,the scale response is calculated by the scale filter to solve the target scale change problem.Aiming at the occlusion problem in the process of target tracking,an occlusion discrimination basis is proposed,which stops updating the template during occlusion to achieve stable and robust tracking.Comparative experiments show that the algorithm can effectively deal with scale-variable and occlusion,and the single frame processing speed reaches 120 FPS,which meets the re-al-time requirements.关键词
红外探测/目标跟踪/核相关滤波/尺度滤波Key words
infrared detection/target tracking/correlation filter/scale filter分类
信息技术与安全科学引用本文复制引用
程鑫,黄鹂,明德烈..基于核相关滤波的深空目标跟踪算法[J].计算机与数字工程,2024,52(10):2967-2971,2983,6.
