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Adaptive Multiple Component Metric Learning for Robust Visual Tracking

Bozorgtabar, Behzad; Goecke, Roland


In this paper, we present a new robust visual tracking approach that incorporates an adaptive metric learning in a multiple components framework. Using a similar overall approach to other state-of-the-art tracking methods, which pose object tracking as a

CollectionsANU Research Publications
Date published: 2013
Type: Journal article
Source: Lecture Notes in Computer Science (LNCS)
DOI: 10.1007/978-3-642-42051-1_70


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