We present a novel approach for highway traffic event detection. Our algorithm extracts features directly from the compressed video and automatically detects traffic events using ...
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
gn process of embedded systems moves currently towards higher levels of abstraction. As a consequence, a need arises for an early and realistic assessment of system level design d...
Biomedical imaging of large patient populations, both cross-sectionally and longitudinally, is becoming a standard technique for noninvasive, in-vivo studies of the pathophysiolog...
Abstract. The continuing trend towards more sophisticated technical applications results in an increasing demand for high quality software for complex, safety-critical systems. Des...