Patent ID: 10325201

Abstract:
A method for generating a deceivable composite image by using a GAN (Generative Adversarial Network) including a generating and a discriminating neural network to allow a surveillance system to recognize surroundings and detect a rare event, such as hazardous situations, more accurately by using a heterogeneous sensor fusion is provided. The method includes steps of: a computing device, generating location candidates of a rare object on a background image, and selecting a specific location candidate among the location candidates as an optimal location of the rare object by referring to candidate scores; inserting a rare object image into the optimal location, generating an initial composite image; and adjusting color values corresponding to each of pixels in the initial composite image, generating the deceivable composite image. Further, the method may be applicable to a pedestrian assistant system and a route planning by using 3D maps, GPS, smartphones, V2X communications, etc.