National Institute of Advanced Industrial Science and Technology

Takuya Nanri

Nobuyuki Otsu

An abnormal action detector is provided for accurately detecting the position of an object together with an abnormal action using a cubic higher-order local auto-correlation feature. The abnormal action detector comprises a computer which generates inter-frame differential data from moving image data, extracts cubic higher-order local auto-correlation feature data on a pixel-by-pixel basis, adds the feature data for pixels within a predetermined range including each of pixels, calculates an index indicative of abnormality of the added feature data with respect to a subspace indicative of a normal action, determines an abnormality when the index is larger than a predetermined value, and outputs the position of a pixel at which the abnormality is determined. The computer further finds a subspace which exhibits a normal action from past feature data in accordance with a principal component analysis approach. The abnormal action detector is capable of determining abnormality on a pixel-by-pixel basis and correctly detecting the position of an object which has shown an abnormal action.

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Tokyo, Japan

Takuya Nanri