Receding Horizon Estimation for Hybrid Particle Filters and Application for Robust Visual Tracking

The receding horizon estimation is applied to design robust visual trackers. Most recent data within the fixed size of windows is receding, and is processed to obtain an estimate of the object state at the current time. In visual tracking such a scheme improves filter accuracy by avoiding accumulate...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Du Yong Kim, Ehwa Yang, Moongu Jeon, Shin, Vladimir
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Filtering theory Kalman filtering Kalman filters Particle filter Particle filters Robustness Tracking Visual tracking Visualization
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