Incremental PCA: an alternative approach for novelty detection

摘要: Exploration and inspection of dynamic environments using mobile robots are applications that benefit immensely from novelty detection algorithms. In this paper we propose the use a new approach for on-line based on incremental Principal Component Analysis compare its performance functionality with previously studied technique GWR neural network. We have conducted series experiments visual input robot interacting controlled laboratory environment show advantages disadvantages each method.