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However, regardless of the validity of the pseudo\u2010Gaussian label, previous DCF trackers generally suffer from aberrance, mismatching. In this work, we rethink the DCF tracker from the label matching and propose a label approximation DCF tracker (LACF) focusing on analyzing the commonly used Gaussian pseudo labels in the DCF. Specifically, based on the assumption that the same objects should contain a similar response between two frames, we construct a new pseudo label that combines the original pseudo\u2010Gaussian labels and the previous response map. On the other hand, we introduce a windowing strategy to focus the DCF model on matching crucial labels for the right position. The experimental results demonstrate that LACF significantly achieves competitive performance for real\u2010time CPU small unmanned aircraft tracking.<\/jats:p>","DOI":"10.1111\/coin.70053","type":"journal-article","created":{"date-parts":[[2025,4,21]],"date-time":"2025-04-21T14:17:21Z","timestamp":1745245041000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Rethinking Correlation Filter Trackers for Small Unmanned Aircraft Systems"],"prefix":"10.1111","volume":"41","author":[{"given":"Wei","family":"Liu","sequence":"first","affiliation":[{"name":"Xiaomi Corporation  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science Wuhan University  Wuhan Hubei China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Yun","sequence":"additional","affiliation":[{"name":"Wuhan Huchuang United Technology Co., Ltd  Wuhan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3540-5775","authenticated-orcid":false,"given":"Youfa","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science Wuhan University  Wuhan Hubei 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