Ημερομηνία: Παρασκευή 5 Οκτωβρίου, 2012 Ώρα: 12:00 - 14:00
Τοποθεσία: Aίθουσα Συναντήσεων "Στέλιος Ορφανουδάκης", ΙΤΕ, Ηράκλειο, Κρήτη.
Host: Αργυρός Αντώνιος
Although computer vision has still rather low acceptance as a reliable tool
for automated analysis of general human behavior it can very useful for
automated monitoring of relatively structured processes on a 24/7 basis even
under adverse conditions. This presentation deals with the case study of
human behavior analysis on an automobile production line, where noise and
occlusions pose serious challenges to the tracking algorithms. We examine
issues such as feature extraction, modeling of noisy time series,
multi-camera fusion, extraction of events in real time and active learning
in time series using these challenging videos.
Part of this work has been conducted in the framework of the SCOVIS project (www.scovis.eu).
Dr Dimitrios Kosmopoulos received B. Eng. degree in Electrical and Computer Engineering from the National Technical University of Athens in 1997 and the PhD degree from the same institution in 2002. He is currently an assistant professor at TEI Crete. Previously he was at Rutgers University, CBIM Lab and at the University of Texas at Arlignton, Department of Computer Science and Engineering. He has been a research scientist in the Computational Intelligence Laboratory of the Institute of Informatics and Telecommunications in the NCSR Demokritos - Greece. His research focuses on learning methods for video processing and time series analysis. He has taught courses in algorithms, image processing, robotics, pattern recognition and AI.