collaborators

6 papers

cs.AI2021

On the Control of Attentional Processes in Vision

John K. Tsotsos, Omar Abid, Iuliia Kotseruba +1

The study of attentional processing in vision has a long and deep history. Recently, several papers have presented insightful perspectives into how the coordination of multiple att…

cs.CV20203 cited

PESAO: Psychophysical Experimental Setup for Active Observers

Markus D. Solbach, John K. Tsotsos

Most past and present research in computer vision involves passively observed data. Humans, however, are active observers outside the lab; they explore, search, select what and how…

cs.CV2018

Visual Attention and its Intimate Links to Spatial Cognition

John K. Tsotsos, Iuliia Kotseruba, Amir Rasouli +1

It is almost universal to regard attention as the facility that permits an agent, human or machine, to give priority processing resources to relevant stimuli while ignoring the irr…

cs.CV2018

Random Polyhedral Scenes: An Image Generator for Active Vision System Experiments

Markus D. Solbach, Stephen Voland, Jeff Edmonds +1

We present a Polyhedral Scene Generator system which creates a random scene based on a few user parameters, renders the scene from random view points and creates a dataset containi…

cs.CV2018

Totally Looks Like - How Humans Compare, Compared to Machines

Amir Rosenfeld, Markus D. Solbach, John K. Tsotsos

Perceptual judgment of image similarity by humans relies on rich internal representations ranging from low-level features to high-level concepts, scene properties and even cultural…

cs.CV2017

Vision-Based Fallen Person Detection for the Elderly

Markus D. Solbach, John K. Tsotsos

Falls are serious and costly for elderly people. The Centers for Disease Control and Prevention of the US reports that millions of older people, 65 and older, fall each year at lea…