Real-Time Tracking Based on Keypoints and Discriminative Correlation Filters

Recently, tracking methods based on discriminative correlation filters (DCF) and CNN features have seen a great improvement in accuracy and performance. However, increasingly complex models and heavy computation burdens can reduce their speed and real-time capability. In this paper, we analyze the k...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.32745-32753
Hauptverfasser:	Zheng, Chao, Wei, Zhenzhong
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Clustering Clustering algorithms Computation Consensus clustering Correlation discriminative correlation filter Feature extraction keypoints matching Model accuracy object tracking Parameter modification Real time Real-time systems samples collecting Target tracking Tracking systems Training Visualization
Online-Zugang:	Volltext
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