We propose a novel approach for multi-person trackingby-
detection in a particle filtering framework. In addition
to final high-confidence detections, our algorithm uses the
con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
In this paper we develop a computational model of visual masking based on psychophysical data. The model predicts how the presence of one visual pattern affects the detectability...
James A. Ferwerda, Peter Shirley, Sumanta N. Patta...
Most work in human activity recognition is limited to relatively simple behaviors like sitting down, standing up or other dramatic posture changes. Very little has been achieved i...
In this paper we present an efficient approach for the fault detection of discrete event systems using Petri nets. We assume that some of the transitions of the net are unobservabl...
Maria Paola Cabasino, Alessandro Giua, Carla Seatz...
A new method of finding people in video images is presented. Detection is based on a novel background modeling and subtraction approach which uses both color and edge information....
Sumer Jabri, Zoran Duric, Harry Wechsler, Azriel R...