Temporal matching: Recognizing dynamic situations from discrete measurements
K Nökel - 1988 - publikationen.sulb.uni-saarland.de
1988•publikationen.sulb.uni-saarland.de
The converse problem of measurement interpretation is event recognition. In situations
which are characterized by a specific order of events, a single snapshot is not sufficient to
recognize an event. Instead one has to plan a measurement sequence that consists of
observations at more than one time point. In this paper we present an algorithm for planning
such an observation sequence based on the specification of the event and discuss the
problem of giving a meaningful definition of a'successful match of a measurement sequence …
which are characterized by a specific order of events, a single snapshot is not sufficient to
recognize an event. Instead one has to plan a measurement sequence that consists of
observations at more than one time point. In this paper we present an algorithm for planning
such an observation sequence based on the specification of the event and discuss the
problem of giving a meaningful definition of a'successful match of a measurement sequence …
The converse problem of measurement interpretation is event recognition. In situations which are characterized by a specific order of events, a single snapshot is not sufficient to recognize an event. Instead one has to plan a measurement sequence that consists of observations at more than one time point. In this paper we present an algorithm for planning such an observation sequence based on the specification of the event and discuss the problem of giving a meaningful definition of a 'successful match of a measurement sequence against a situation description'.
publikationen.sulb.uni-saarland.de
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