Abstract:
The present invention relates to an apparatus and method for providing personalized adaptive e-learning, and more specifically, to an apparatus and method for estimating a learner's proficiency to each attribute and providing adaptive e-learning by taking into consideration an item answering result of an individual learner in a personalized learning environment.
Abstract:
A fast object detection method and a fast object detection apparatus using an artificial neural network. The fast object detection method includes obtaining an input image; inputting the obtained input image into an object detection neural network using a plurality of preset bounding boxes; and detecting an object included in the input image by acquiring output data of the object detection neural network.
Abstract:
Provided is a system for detecting an object from a depth image. The system includes a communication module, a memory, and a processor. By executing the object detection program, the processor extracts a first object area and a second object area from the depth image, based on a predetermined floor plane and an outer plane which is set with respect to the predetermined floor plane. The processor extracts a target area including pixels of the second object area which are spaced apart from the first object area by a predetermined interval. The processor samples a pixel, which is not included in the target area, to extract a floor area from the second object area, calculates a boundary value of an object and a floor, based on the floor area and the target area, and extracts a foreground pixel from the target area, based on the calculated boundary value.
Abstract:
Disclosed are an apparatus and a method for providing mixed reality for a virtual experience service, and more particularly, an apparatus and a method for providing mixed reality contents for learning a virtual experience based on a story that provides a service in which a user in a real world appears in a virtual world having the story to undergo a virtual experience. The method picks up the user image in the real world and synthesizes the picked-up image with a desired position of a 3D virtual world. According to the present disclosure, a realistic experience based learning can be provided while a spatial limit is overcome.
Abstract:
Disclosed are an apparatus for extracting an image object in a 3D image system and a method thereof.The apparatus for extracting an image object in a 3D image system includes: an image inputting unit receiving an image; a space setting unit setting virtual space at which the image object is positioned from the received image; and an object extracting unit extracting the image object from the set virtual space from the received image.