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KCF目标跟踪方法分析与总结
读"J. F. Henriques, R. Caseiro, P. Martins, J. Batista, 'High-speed tracking with kernelized correlation filters'" 笔记 KCF是一种鉴别式追踪方法,这类方法一般都是在追踪过程中训练一个目标检测器,使用目标检测器去检测下一帧预测位置是否是目标,然后再使用新检测结果去更新训练集进而更转载 2017-04-13 17:21:00 · 9924 阅读 · 0 评论 -
OTB Results
Share results for more recent trackers. All results in [Baidu Yun] Benchmark Results The trackers are ordered by the average overlap scores. AUC and Precision are the standard转载 2017-04-13 17:39:51 · 11911 阅读 · 0 评论 -
VOT2016 Trackers repository
http://www.votchallenge.net/vot2016/trackers.html VOT2016 Trackers repository Before downloading the files please read the README section! README This is an incomplete collection of tr转载 2017-04-13 17:41:15 · 9441 阅读 · 0 评论 -
Large Margin Object Tracking with Circulant Feature Maps
https://arxiv.org/abs/1703.05020 Mengmeng Wang, Yong Liu, Zeyi Huang (Submitted on 15 Mar 2017 (v1), last revised 20 Mar 2017 (this version, v2)) Structured output support vector machine转载 2017-04-21 15:04:58 · 8517 阅读 · 0 评论 -
【目标跟踪】KCF高速跟踪详解
Henriques, João F., et al. “High-speed tracking with kernelized correlation filters.” Pattern Analysis and Machine Intelligence, IEEE Transactions on 37.3 (2015): 583-596. 本文的跟踪方法效果甚好,速度奇高,思想转载 2017-04-21 20:01:09 · 7379 阅读 · 0 评论