Human mobility is important for understanding the evolution of size and structure of urban
areas, the spatial distribution of facilities, and the provision of transportation services. Until …

This paper presents a survey of trajectory-based activity analysis for visual surveillance. It
describes techniques that use trajectory data to define a general set of activities that are …

Kalman filter has been successfully applied to tracking moving objects in real-time
situations. However, the filter cannot take into account the existing prior knowledge to …

Activity understanding in visual surveillance has attracted much attention in recent years. In
this paper, we present a new method for learning patterns of object activities in image …

In this paper a bottom-up approach for human behaviour understanding is presented, using
a multi-camera system. The proposed methodology, given a training set of normal data only …

This paper presents past and ongoing work on layout syn-thesis benchmarks maintained
and distributed by the MCNC Center for Microelectronics. The benchmark suite developed …

Self-organizing map (SOM) is an approach of nonlinear dimension reduction and can be
used for visualization. It only preserves topological structures of input data on the projected …

The success of intelligent mobile robots operating and collaborating with humans in daily
living environments depends on their ability to generalise and learn human movements, and …

ABSTRACT Global Positioning System (GPS) devices afford the opportunity to collect
accurate data on unit movements from temporal and spatial perspectives. With a special …

Safety and sustainability are the two main themes of this thesis. They are also the two main
pillars of a functional transportation system. Recent studies showed that the cost of road …