Discriminative subspace learning with sparse representation view-based model for robust visual tracking
A tracker combines the generative and the discriminative model. Introduce maximum margin projection into object tracking. Transform MMP function to be solved under the Spectral Regression framework. Learning an incremental view-based model of the target with sparse representation. Experiments show our tracker to be more robust and stable than state-of-the-art methods.
discriminative subspace learning sparse representation object tracking spectral regression