A memory mimicry guided pattern recognition method, wherein time series information in the memory prior to the current moment is introduced to detect motion information by means of pattern recognition using samples in the series as a reference. The memory invocation mechanism in a human brain is simulated, and different memory segments are used as elements to detect motion changes in multiple memory segments and their corresponding motion states. The memory attenuation mechanism is simulated, and the motion detection results in the multiple segments are combined to enhance motion change information in the current moment and to form a motion state in a continuous time series, so as to form a motion detection result of the current moment as a pattern recognition result. The method can be used stably and reliably for pattern recognition and motion detection under complicated conditions, has a better noise suppression effect and a higher computational efficiency.
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