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2016

Texture-Independent Long-Term Tracking Using Virtual Corners

3 years 9 days ago
Texture-Independent Long-Term Tracking Using Virtual Corners
—Long term tracking of an object, given only a single instance in an initial frame, remains an open problem. We propose a visual tracking algorithm, robust to many of the difficulties which often occur in real-world scenes. Correspondences of edge-based features are used, to overcome the reliance on the texture of the tracked object and improve invariance to lighting. Furthermore we address long-term stability, enabling the tracker to recover from drift and to provide redetection following object disappearance or occlusion. The two-module principle is similar to the successful state-of-the-art long-term TLD tracker, however our approach offers better performance in benchmarks and extends to cases of low-textured objects. This becomes obvious in cases of plain objects with no texture at all, where the edge-based approach proves the most beneficial. We perform several different experiments to validate the proposed method. Firstly, results on short-term sequences show the performance ...
Karel Lebeda, Simon Hadfield, Jiri Matas, Richard
Added 11 Apr 2016
Updated 11 Apr 2016
Type Journal
Year 2016
Where TIP
Authors Karel Lebeda, Simon Hadfield, Jiri Matas, Richard Bowden
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