An abnormal action detecting device and method for detecting an abnormal action from a moving picture. An abnormal action detecting device (11) creates from-to-frame difference data from moving picture data inputted from a video camera (10), extracts feature data from three-dimensional data composed of frame-to-frame difference data by using a stereoscopic high-order local cross-correlation, computes the distance between a partial space based on a main component vector determined by a main component analysis technique from the past feature data and the latest feature data, and judges that an action is abnormal if the distance is greater than a predetermined value. By learning a normal action as a partial space and detecting an abnormal action as a deviation from the normal one, for example, even if several persons are present in the screen, an abnormal action of a person can be detected. The computational complexity is low and the real-time processing is possible.
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