Effective multi-object tracking (MOT) methods have been developed in recent years for a
wide range of applications including visual surveillance and behavior understanding …

The research presented in this paper develops a particle filter approach for the real-time
short to medium-term travel time prediction using real-time and historical data. Given the …

This paper presents our real-time meeting analyzer for monitoring conversations in an
ongoing group meeting. The goal of the system is to recognize automatically “who is …

The non-Markov process exists widely in thermodymanic process, while it usually requires
the packing of many transistors and memories with great system complexity in a traditional …

Convolutional neural networks (CNNs) are employed to estimate the visual focus of attention
(VFoA), also called gaze direction, in multiparty face-to-face meetings on the basis of …

Multi-object tracking is an important computer vision task with wide variety of real-life
applications from surveillance and monitoring to biomedical video analysis. Multi-object …

Travel-time information is an essential part of Advanced Traveler Information Systems
(ATISs) and Advanced Traffic Management Systems (ATMSs). A key component of these …

To improve visual tracking, a large number of papers study more powerful features, or better
cue fusion mechanisms, such as adaptation or contextual models. A complementary …

This paper proposes a novel facial expression recognizer and describes its application to
group meeting analysis. Our goal is to automatically discover the interpersonal emotions that …

In this paper we apply bio-inspired optimization methods to design type-2 fuzzy logic
controllers (FLC) to minimize the steady state error of linear systems. We test the optimal …