We present a strategy that combines color and depth images to detect people in indoor environments. Similarity of image appearance and closeness in 3D position over time yield weig...
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
We study properties of the discrete cosine transform (DCT) when applied to an image sequence formed by uniformly translating a still image. The Fourier transform (FT) applied to s...
A large number of methods for circle detection has been studied in the last years for numerous image processing applications. The application domain considered in this paper is th...
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...