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Robust Visual Vocabulary Tracking Using Hierarchical Model Fusion

Bozorgtabar, Behzad; Goecke, Roland

Description

In this paper, we propose a new visual tracking approach based on the Hierarchical Model Fusion framework, which fuses two different trackers to cope with different tracking problems. We use an Incremental Multiple Principal Component Analysis tracker as

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
URI: http://hdl.handle.net/1885/66489
Source: 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013
DOI: 10.1109/DICTA.2013.6691525

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