Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
In the traditional mixture of Gaussians background model, the generating process of each pixel is modeled as a mixture of Gaussians over color. Unfortunately, this model performs ...
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Abstract. To develop a computational model of understanding spatial expressions, various factors should be taken into account. We have been exploring the relations between the good...