• Title of article

    Reconstructing force-dynamic models from video sequences Original Research Article

  • Author/Authors

    Jeffrey Mark Siskind، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2003
  • Pages
    64
  • From page
    91
  • To page
    154
  • Abstract
    This paper presents a method for recovering the support, contact, and attachment (i.e., force dynamic) relations between objects depicted in video sequences. It first presents a stability-analysis procedure that determines whether a configuration of observed objects is stable under a given interpretation using a reduction to linear programming. It then presents a model-reconstruction procedure for searching the space of admissible interpretations to find the simplest stable interpretations or models. These stability-analysis and model-reconstruction procedures have been implemented as part of a system that recovers force-dynamic interpretations from video sequences and uses those interpretations to classify the events that occur in those sequences. This paper presents the details of the stability-analysis and model-reconstruction procedures and illustrates their operation on sample video sequences.
  • Keywords
    Circumscription , Knowledge representation , Physical reasoning , Knowledge-based perception , Machine vision , Grounded lexical semantics , Stability analysis , Event perception , Perceiver framework , Perceptual inference
  • Journal title
    Artificial Intelligence
  • Serial Year
    2003
  • Journal title
    Artificial Intelligence
  • Record number

    1207313