On Uncertainties, Random Features and Object Tracking

Algorithms for probabilistic visual tracking hypothesize a distribution of the target state (location, scale, etc.) at every tracking step with an associated information content or equivalently, an uncertainty. One measure of this uncertainty is the differential entropy. In this paper, we present a...

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Bibliographische Detailangaben

Hauptverfasser:	Badrinarayanan, V., Perez, P., Le Clerc, F., Oisel, L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Current measurement Differential Entropy Entropy Extraterrestrial measurements Filtering Gaussian distribution Measurement uncertainty Monte Carlo methods Probabilistic Filtering Randomized features Target tracking Visual Tracking Weight measurement
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