工业技术与职业教育2024，Vol.22Issue(4)：10-13,4.
基于机器视觉的目标跟踪算法研究
Research of Object Tracking Algorithm Based on Machine Vision
摘要
Abstract
In order to solve the problem of tracking drift in occlusion,an object tracking algorithm(MOSKal)based on MOSSE and Kalman filter is proposed to improve the tracking effect.The algorithm uses the correlation measurement between the object and the MOSSE filter to judge whether there is occlusion or not in every frame.When there is no occlusion,the MOSSE filter is used as the main tracker,the MOSSE filter is updated and the Kalman filter is modified according to the obtained position;when there is occlusion,the Kalman filter is set as the main tracker to predict position,and the MOSSE filter is kept unchanged.Qualitative and quantitative analysis of experiments were made from the aspects of tracking speed,accuracy and success rate.The results show that the algorithm can track target quickly and effectively with or without occlusion.Compared with other similar algorithms,the algorithm can effectively improve the tracking effect under partial and complete occlusion,and has strong robustness.关键词
目标跟踪/MOSSE滤波器/Kalman滤波器/遮挡Key words
object tracking/MOSSE Filter/Kalman Filter/occlusion分类
信息技术与安全科学引用本文复制引用
甘志英..基于机器视觉的目标跟踪算法研究[J].工业技术与职业教育,2024,22(4):10-13,4.基金项目
河北省高等学校科学技术研究项目2022-2024年度"复杂场景中目标跟踪算法研究"(课题编号:QN2022186),主持人甘志英. （课题编号:QN2022186）
