@inproceedings{28164873cb1c41588f3be360fa464ccd,
title = "Multi-scale Correlation Filter Tracking with Adaptive Re-detection Mechanism",
abstract = "Tracking is a popular research topic in artificial intelligence, but how to handle the severe occlusion and deformation remains a challenging problem. Focusing on this issue, we propose a multi-scale correlation filter tracker using a re-detection module. Specifically, we utilize a reliable confidence strategy to estimate the reliability of initial results, and introduce a novel template matching technique to solve the target relocation problem. Experiment results demonstrate that our method can outperform several classic trackers.",
keywords = "adaptive re-detection, correlation filter, template matching",
author = "Ruoling Yang and Tingfa Xu and Yu Bai and Axin Fan and Bo Yuan",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019 ; Conference date: 26-04-2019 Through 29-04-2019",
year = "2019",
month = apr,
doi = "10.1109/ICIASE45644.2019.9074120",
language = "English",
series = "Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "305--308",
editor = "Teen-Hang Meen",
booktitle = "Proceedings of 2019 IEEE International Conference of Intelligent Applied Systems on Engineering, ICIASE 2019",
address = "United States",
}