Hybrid support vector machines for robust object tracking
A novel hybrid formulation for object tracking is proposed. A novel regression model is presented to exploit more compact spatial constraint. Three different SVMs are used to build a specific tracker under above formulation. A distribution-based strategy is introduced to combine the hybrid SVMs. Experimental results demonstrate the state-of-the-art tracking performance.
object tracking regression svm binary classification one-class classification