Logics based on Qualitative Descriptors for Scene Understanding
| Type of publication: | Article |
| Citation: | |
| Publication status: | Published |
| Journal: | Neurocomputing |
| Number: | 161 |
| Year: | 2015 |
| Month: | May |
| Pages: | pp.3--16 |
| DOI: | 10.1016/j.neucom.2015.01.074 |
| Abstract: | An approach for scene understanding based on qualitative descriptors, domain knowledge and logics is proposed in this paper. Qualitative descriptors, qualitative models of shape, colour, topology and location are used for describing any object in the scene. Two kinds of domain knowledge are provided: (i) categorizations of objects according to their qualitative descriptors, and (ii) semantics for describing the affordances, mobility and other functional properties of target objects. First order logics are obtained for reasoning and scene understanding. Tests were carried out at the Interact@Cartesium scenario and promising results were obtained. |
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