Complex event recognition (CER) applications exhibit various types of uncertainty, ranging
from incomplete and erroneous data streams to imperfect complex event patterns. We …

The concept of event processing is established as a generic computational paradigm in
various application fields. Events report on state changes of a system and its environment …

Big data is recognized as one of the three technology trends at the leading edge a CEO
cannot afford to overlook in 2012. Big data is characterized by volume, velocity, variety and …

Urban traffic gathers increasing interest as cities become bigger, crowded and “smart”. We
present a system for heterogeneous stream processing and crowdsourcing supporting …

We present a system for recognising human activity given a symbolic representation of video
content. The input of our system is a set of time-stamped short-term activities (STA) detected …

Symbolic event recognition systems have been successfully applied to a variety of
application domains, extracting useful information in the form of events, allowing experts or …

This paper introduces a Surveillance Video Analysis System, called SVAS, for surveillance
domain, in which the semantic rules and the definition of event models can be learned or …

Intelligent transport management involves the use of voluminous amounts of uncertain
sensor data to identify and effectively manage issues of congestion and quality of service. In …

We present a novel approach for event recognition in massive streams of heterogeneous
data driven by privacy policies and big data event processing. New technologies in mobile …

Since the last decades the availability and granularity of location-based data has been
rapidly growing. Besides the proliferation of smartphones and location-based social …