Abstract: A memory-guide simulated pattern recognition method, wherein time sequence information in a memory prior to the current moment is introduced to detect motion information by means of pattern recognition using samples in the sequence as a reference is described. A 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 the corresponding motion states; a memory attenuation mechanism is simulated, and motion detection results in multiple segments are combined to enhance motion change information in the current moment and form a motion state in a continuous time sequence, so as to form a motion detection result of the current moment as a pattern recognition result.

Abstract: A memory-guide simulated pattern recognition method, wherein time sequence information in a memory prior to the current moment is introduced to detect motion information by means of pattern recognition using samples in the sequence as a reference is described. A 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 the corresponding motion states; a memory attenuation mechanism is simulated, and motion detection results in multiple segments are combined to enhance motion change information in the current moment and form a motion state in a continuous time sequence, so as to form a motion detection result of the current moment as a pattern recognition result.