Reconstructing force-dynamic models from video sequences

作者:

摘要

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.

论文关键词:Machine vision,Grounded lexical semantics,Event perception,Stability analysis,Perceiver framework,Circumscription,Knowledge representation,Physical reasoning,Perceptual inference,Knowledge-based perception

论文评审过程:Received 14 February 2002, Available online 26 August 2003.

论文官网地址:https://doi.org/10.1016/S0004-3702(03)00112-7