Visual tracking by using dense local descriptors

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 OSA.