Detecting the Degree of Anomal in Security Video

  title={Detecting the Degree of Anomal in Security Video},
  author={Kyoko Sudo and Tatsuya Osawa and Xiaojun Wu and Kaoru Wakabayashi and Takayuki Yasuno},
We have developed a method that can discriminate anomalous image sequences for more efficiently utilizing security videos. To match the wide popularity of security cameras, the method is independent of the camera setting environment and video contents. We use the spatio-temporal feature obtained by extracting the areas of change from the video. To create the input for the discrimination process, we reduce the dimensionality of the data by PCA. Discrimination is based on a 1-class SVM, which is… CONTINUE READING


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