Hand gesture spotting and recognition using HMMs and CRFs in color image sequences [Elektronische Ressource] / von Mahmoud Othman Selim Mahmoud Elmezain

Hand Gesture Spotting and Recognition UsingHMMs and CRFs in Color Image SequencesDissertationzur Erlangung des akademischen GradesDoktoringenieur(Dr.-Ing.)von M.Sc. Mahmoud Othman Selim Mahmoud Elmezaingeb. am 08. December 1973 in Meno ya, Agyptengenehmigt durch die Fakult at fur Elektrotechnik und Informationstechnikder Otto-von-Guericke-Universit at MagdeburgGutachter:Prof. Dr.-Ing. habil. Ayoub Al-HamadiProf. habil. Bernd MichaelisProf. Dr. Aly FaragPromotionskolloquium am: 26. November 2010This work is dedicated to ...my parents, my wife (Rabab) and my children (Salma, Sara and Omnia)MahmoudiAbstractEven though automatic hand gesture recognition technology has been applied to real-world applications with relative success, there are still several problems which needto be addressed for wider applications of Human Computer Interaction (HCI). One ofsuch problems which arise in hand gesture recognition is to extract (spot) meaningfulgestures from the continuous sequence of the hand motions. Another problem iscaused by the fact that there is quite a bit of variability (i.e. in shape, trajectory andduration) in the same gesture even for the same person. Throughout literature, thebackward spotting technique is used which rst detects the end points of gestures andthen tracks back through their optimal paths to discover the start points of gestures.