@inproceedings{a2a1350acb844e5492271935271dd6a3,
title = "Robust Tracking via Dual Constrained Filters",
abstract = "In this paper, we propose a novel correlation filter framework constrained by dual filters. The Minimum Output Sum of Squared Error (MOSSE) filter is the unbiased estimate of the filter which easily to cause overfitting. The trained filter by linear ridge regression is the biased estimate of the filter which can deal with the overfitting. We combine the advantages of the two filters to constrain the trained filter which optimizes our model. To deal with background clutter, clipping background patches around the target position up, down, left, and right, we add the cropped background patches to the learning filter. To overcome the challenge of occlusion, we introduce a novel criterion, Average Peak-to-Correlation Energy (APCE). Extensive experiments on the CVPR 2013 Benchmark well demonstrate that our tracker can effectively solve the background clutter and occlusion. Both quantitative analysis and qualitative analysis show that our tracker outperforms some state-of-the-art trackers.",
keywords = "Background clutter, CVPR 2013 Benchmark, Dual filters, Occlusion",
author = "Bo Yuan and Tingfa Xu and Bo Liu and Yu Bai and Ruoling Yang and Xueyuan Sun and Yiwen Chen",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; International Conference on Communications, Signal Processing, and Systems, CSPS 2018 ; Conference date: 14-07-2018 Through 16-07-2018",
year = "2020",
doi = "10.1007/978-981-13-6504-1_158",
language = "English",
isbn = "9789811365034",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "1331--1338",
editor = "Qilian Liang and Xin Liu and Zhenyu Na and Wei Wang and Jiasong Mu and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II",
address = "Germany",
}