Abstract

This paper presents a robust visual tracking algorithm based on dense local descriptors. These local invariant representations with a robust object/context nearest neighbor classifier, permits to build a very powerful visual tracker. The performances are very promising even in very long video sequences.

© 2015 Optical Society of America

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