| 摘要 |
An event detection apparatus determines the occurrence of an abnormal event based on input data without predefining and learning normal or abnormal patterns. A first data obtaining unit obtains first data. A feature quantity classifying unit obtains a feature quantity corresponding to the first data, generates a plurality of clusters for classifying the obtained feature quantity, and classifies the feature quantity into a corresponding one of the clusters. A learning unit learns a plurality of identifiers using feature quantities classified into the clusters. A second data obtaining unit obtains second data. An identifier unit inputs a feature quantity corresponding to the second data into the plurality of learned identifiers, and receives an identification result from each identifier. A determination unit determines whether the second data includes an identification target event based on the obtained identification result. |
