2016
Visual tracking via multi-task non-negative matrix factorization
ICASSP 2016accepted
We propose an online tracking algorithm in which the object tracking is achieved by using subspace learning and non-negative matrix factorization (NMF) under the partile filtering framework. The object appearance is modeled by a non-negative combination of non-negative components learned from exampl…