Research on Robust Visual Tracker Based on Multi-Cue Correlation Particle Filters

For the problem of robust visual tracking in various complex tracking scenarios, a multi-cue correlation particle filter (CPF for short) visual tracker supervised by population convergence is proposed. By combining the advantages of particle filter and correlation filter, the CPF tracker gains bette...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.19555-19563
Hauptverfasser:	Xiao, Yuqi, Pan, Difu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer vision Control theory Convergence Correlation correlation particle filter Feature extraction Fuzzy control Optical tracking Resampling Robustness (mathematics) Sociology Target tracking Visualization
Online-Zugang:	Volltext
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