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
Link To Document :
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