In this paper, we propose a novel approach to address the problem of change detection in time series data. Our approach is based on wavelet footprints proposed originally by the si...
In this demo, we present Nile-PDT, a Phenomenon Detection and Tracking framework using the Nile data stream management system. A phenomenon is characterized by a group of streams ...
Mohamed H. Ali, Walid G. Aref, Raja Bose, Ahmed K....
In several video surveillance applications, such as the detection of abandoned/stolen objects or parked vehicles, the detection of stationary foreground objects is a critical task...
Abstract. This paper deals with the detection of arbitrary static objects in traffic scenes from monocular video using structure from motion. A camera in a moving vehicle observes ...
Andreas Wedel, Uwe Franke, Jens Klappstein, Thomas...
While it provides the unprecedented processing power to solve many large scale computational problems, GRID, if abused, has the potential to easily be used to launch (for instance...