Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
We present a simple framework to model contextual
relationships between visual concepts. The new framework
combines ideas from previous object-centric methods
(which model conte...
Nikhil Rasiwasia (University Of California, San Di...
Recognizing a person’s motion is intuitive for humans but represents a challenging problem in machine vision. In this paper, we present a multi-disciplinary framework for recogn...
Here we show that a notion of congruence in statistical structureacross2 0frequency bandsproduces a useful definition of visualpatterns for perceiving target distinctness. In orde...
J. Chamorro, Javier Martinez-Baena, Rosa Rodriguez...
Abstract. We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty de...
Fredrik Kahl, Richard I. Hartley, Volker Hilsenste...