Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
In this work we propose a model for video scenes that contain temporal variability in shape and appearance. We propose a conditionally linear model akin to a dynamic extension of ...
In many computer vision tasks, scene changes hinder the generalization ability of trained classifiers. For instance, a human detector trained with one set of images is unlikely t...
Designing computer-based learning environments must account for the context in which activity occurs, the tasks that students perform, and the tools that facilitate these tasks. W...
This paper argues that tracking, object detection, and model-building are all similar activities. We describe a fully automatic system that builds 2D articulated models known as pi...