Online Spatial-temporal Data Fusion for Robust Adaptive Tracking

One problem with the adaptive tracking is that the data that are used to train the new target model often contain errors and these errors will affect the quality of the new target model. As time passes by, these errors will accumulate and eventually lead the tracker to drift away. In this paper, we...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Jixu Chen, Qiang Ji
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Computer errors Data engineering Labeling Lighting Pollution measurement Robustness Systems engineering and theory Target tracking Time measurement
Online-Zugang:	Volltext bestellen
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