Print Email Facebook Twitter Intelligent methods for automated video surveillance Title Intelligent methods for automated video surveillance Author Keur, A. Contributor Rothkrantz, L.J.M. (mentor) Yang, Z. (mentor) Van der Mast, C.A.P.G. (mentor) Geers, H.J.A.M. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Date 2009-04-03 Abstract At the Man Machine Interaction research group at the Delft University of Technology research is being done on the subject of aggression detection in trains. The goal of this project is to research different aspects of train surveillance, including video surveillance, but also audio surveillance storyboard based modeling. This thesis discusses the current state of the art methods and techniques that or being applied, or could be applied to the task of automated video surveillance. This work discusses the application to the video surveillance problem of several methods, most notably motion detection, face tracking, face recognition and facial expression analysis. Subject ideo surveillanceemotion recognitionhuman behavior interpretation To reference this document use: http://resolver.tudelft.nl/uuid:7e70359f-7ddd-4914-b2f7-b782103708ab Publisher TU Delft, Electrical Engineering, Mathematics, Computer Science, Media and Knowledge Engineering Part of collection Student theses Document type master thesis Rights (c) 2009 A. Keur Files PDF ewi-keur-2009.pdf 4.53 MB Close viewer /islandora/object/uuid:7e70359f-7ddd-4914-b2f7-b782103708ab/datastream/OBJ/view