Welcome to my webpage. My name is Gal and I am currently a PhD student in the computer science department of the Technion, Israel Institute of Technology. My research is in methods for representation and recognition of complex occurences in video. My advisors are Ehud Rivlin, Michael Heymann and Michael Rudzsky.
Building Petri Nets from Video Event Ontologies. Gal Lavee, Artyom Borzin, Ehud Rivlin, and Michael Rudzsky. Advances in Visual Computing. Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007. LNCS 4841, p. 442-451. PDF
Understanding Video Events: A Survey of Methods for Automatic Interpretation of Semantic Occurrences in Video. Gal Lavee , Ehud Rivlin, and Michael Rudzsky. IEEE Transactions on Systems, Man, and Cybernetics-Part C:Applications and Reviews, vol.39, no. 5, Sept. 2009, pp.489-504. PDF Tech Report
Video Event Modeling and Recognition using Marking Analysis in Generalized Stochastic Petri Nets Gal Lavee, Ehud Rivlin, Michael Rudzsky and Artyom Borzin,. IEEE Transactions on Circuits and Systems for Video Technology Journal 2009. Tech Report
B. Thuraisingham, G. Lavee, E. Bertino, J. Fan, and L. Khan. Access control, confidentiality and privacy for video surveillance databases. ACM Symposium on Access Control Models and Technologies, Lake Tahoe, CA, June 2006. PDF
G. Lavee, L. Khan and B. Thuraisingham, A framework for a video analysis tool for suspicious event detection, Multimedia Tools and Applications, 2007 PDF
G. Lavee, “Suspicious” Event Detection in Video, MS Thesis, University of Texas at Dallas, December 2005. PDF