Robust visual tracking via L 0 regularized local low-rank feature learning

Generalized ℓP-regularized representation for visual tracking

“…To reject redundant information, Liu et al [17] apply the ℓ 0 -norm to regulate the projection term of target subspace, and the low-rank features used for updating dictionary can be represented by these selected features in subspace.…”