Mobility is a key element of many processes and activities, and the understanding of movement is important in many areas of science and technology such as meteorology, biology, sociology, transportation engineering, to name but a few. Hence, increasing amounts of movement tracking data and other data about movement of mobile objects or agents are

Abstract. Over the last decade, there has been a significant deployment of systems dedicated to surveillance. These systems make use of real-time sensors that generate continuous streams of data. Despite their success in many cases, the increased number of sensors leads to a cognitive overload for the operator in charge of their analysis. However, the context and the application requires an ability to react in real-time. The research presented in this paper introduces a spatio-temporal-based approach the objective of which is to provide a qualitative interpretation of the behavior of an entity (e.g., a human or vehicle). The process is formally supported by a fuzzy logic-based approach, and designed in order to be as generic as possible.

Abstract. Collective phenomena and their associated movement patterns are ubiquitous in everyday life. However, even though we need to be able to reason about these phenomena, especially their movement patterns, research suggests that we do not currently possess the tools for doing so. Research has been carried out into the movement patterns of particular types of collective but there appears to be no research into the range of different movement patterns exhibited by collective phenomena as a class. In order to provide such a tool it is crucial that we understand the relation between the different types of collectives and the various movement patterns that they may exhibit. By means of examples, this paper compares a classification of collectives and a classification of movement patterns. A number of possible links are suggested and the need for a more comprehensive classification of movement patterns sensitive to the different kinds of collective is highlighted. Such a system could be integrated with the current classification of collective phenomena to form a more comprehensive system that once formalised, may allow the representation of a wide range of collective phenomena within an ontology.