Presentation

Learning Object categories●Foreground Extraction– Learning stable patterns of background– Background Subtraction● Object Tracking (Guha and Mukerjee, 2008)– Considers overlapping sequences of blobs– Meanshift based trackingDecember 9, 2010 ICON 2010, IIT KHARAGPUR 5

Foreground Extraction● Original Frame After Background SubtractionExtracted foreground blobDecember 9, 2010 ICON 2010, IIT KHARAGPUR 6

Object Tracking●Foreground blobs are tracked as a single agent1109 1114 1122 1130December 9, 2010 ICON 2010, IIT KHARAGPUR 7

Future Work●Scalability across other domains and otherlanguages (Dabbeeru-Mukerjee, 2011)●Learning verbs from actions●Learning semantics of MorphoSyntacticelements●Mechanism for symbolic theft(Cangelosi et al.2002)December 9, 2010 ICON 2010, IIT KHARAGPUR 18

References(....contd)●[Roy and Pentland2002] Deb K. Roy and Alex P. Pentland. 2002. Learning words from sightsand sounds:a computational model. Cognitive Science, 26:113{ 146.●[Singh et al.2006] V K Singh, S Maji, and A Mukerjee. 2006. Confidence based updation of motionconspicuity in dynamic scenes. In Third Canadian CRV 2006, page 13. IEEE.●[Steels and Kaplan2002] L. Steels and F. Kaplan. 2002. Bootstrapping grounded word semantics. In TedBriscoe, editor, Linguistic Evolution through Language Acquisition: Formal and Computational Models,chapter 3, pages 53{74. Cambridge UniversityPressDecember 9, 2010 ICON 2010, IIT KHARAGPUR 20

Thank You !!!December 9, 2010 ICON 2010, IIT KHARAGPUR 21