Robust visual tracking via multi-view discriminant based sparse representation

Abstract

In traditional sparse representation based visual tracking, the particles are densely sampled, the appearance of some candidates may be very similar, hence the particle observations can be divided into disjointed groups. Existing methods only exploit the group similarity in a certain feature space. In this paper we propose a multi-view discriminant based… (More)
DOI: 10.1109/ICIP.2017.8296750

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