On the property of similarity measures between temporally-observed data distributions in object recognition

Abstract

In a recent decade, a novel scheme for robust object recognition has attracted attentions when continuous image streams are input such as mutual subspace method, kernel mutual subspace method. We discuss experimental method to clarify properties of such classifiers. We propose experimental method to evaluate such classifiers.