Integration of image sequence evaluation and fuzzy metric temporal logic programming
Advanced image sequence evaluation systems generate a voluminous amount of quantitative data which is increasingly difficult to assess. The challenge consists in abstracting from and reasoning with these data in order to create a more intuitive access to image evaluation results.
This contribution reports about experiences and results gained by connecting an existing advanced image sequence evaluation system with a Fuzzy Metric Temporal Logic (FMTL) system which is able to represent and process uncertain, time-related data. We will explain and demonstrate the advantage of using FMTL in order to automatically analyze traffic situations recorded by a video camera and evaluated by our image evaluation system. In particular, we shall address difficulties arising from feeding a logic inference system with uncertain real world data.
KeywordsComputer Vision Knowledge Representation Fuzzy Sets Temporal Reasoning
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