According to an embodiment of the present invention, a system for determining an abnormal sign of a behavior pattern comprises: an image collecting unit for receiving image data collected in real time through an image sensor; an image processing unit for processing an image to detect an object of interest from the image data; a behavior pattern extracting unit for extracting a behavior pattern feature of the object of interest from the processed image data; a behavior pattern modeling unit for learning and modeling the behavior pattern of the object of interest using the extracted behavior pattern feature; and a behavior abnormality determining unit for analyzing the modeled behavior pattern to determine whether a behavior abnormality of the object of interest occurs. The behavior pattern modeling unit has learning through tensorflow for modelling. The behavior abnormality determining unit of the present invention includes: an FFT conversion unit for receiving a behavior pattern feature from the behavior pattern extracting unit to convert information on a phase and a size of the object of interest so as to secure a pattern in that a graph of a frequency is databased as an image; and a deep-mind determining unit for performing deep-mind determination in real time with respect to the pattern that the graph of the frequency is databased as an image.
A behavior pattern abnormality discrimination system and method for providing the same