This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, e...
Paul Brasnett, Lyudmila Mihaylova, David R. Bull, ...
Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
With the wide application of green fluorescent protein (GFP) in the study of live cells, there is a surging need for the computer-aided analysis on the huge amount of image seque...
We present a new approach to runtime verification that utilizes classical statistical techniques such as Monte Carlo simulation, hypothesis testing, and confidence interval estima...
Sean Callanan, Radu Grosu, Abhishek Rai, Scott A. ...
We study the impact of the shape of optical filters on the bit error rate (BER) of a multi-channel spectrum-sliced wavelength division multiplexed (SS-WDM) system, incorporating no...
Amirhossein Ghazisaeidi, Francesco Vacondio, Lesli...