SYSTEM AND METHOD FOR DETECTING OBJECT FROM DEPTH IMAGE

    公开(公告)号:US20170193665A1

    公开(公告)日:2017-07-06

    申请号:US15007942

    申请日:2016-01-27

    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.

    METHOD AND APPARATUS FOR LEARNER DIAGNOSIS USING RELIABILITY OF COGNITIVE DIAGNOSTIC MODEL

    公开(公告)号:US20190318650A1

    公开(公告)日:2019-10-17

    申请号:US16377624

    申请日:2019-04-08

    Abstract: Provided are an apparatus and method for learner diagnosis using reliability of a cognitive diagnostic model, which estimates the reliability of the cognitive diagnostic model that estimates a concept vector (α) of a learner through a Q-matrix regarding a question and an R-matrix regarding a response to a question, the method including assuming a probability (P(X|α)) of a learner response (X) when a concept vector (α) of a learner is given; obtaining a concept pattern-specific probability (P(α|X)) of the learner from the assumed concept vector and learner response of the learner; obtaining an information entropy (H) value of the learner from the concept pattern-specific probability (P(α|X)) of the learner; and obtaining reliability (γ) of an estimated result of a learner-specific concept understanding using the information entropy value of the learner and a number of concepts.

    SYSTEM AND METHOD FOR ANALYZING GAME UPDATE EFFECT ACCORDING TO CHANGE OF GAMER ACTION SEQUENCE

    公开(公告)号:US20190209928A1

    公开(公告)日:2019-07-11

    申请号:US16151561

    申请日:2018-10-04

    Abstract: Disclosed is an apparatus for analyzing a game update effect according to a change in a gamer action sequence, the apparatus including: a gamer action information collector configured to collect action information of a gamer from a game operating server that provides a gamer terminal with a game and stores the action information of the gamer therein; a gamer action information sequence identifier configured to detect an action sequence of the gamer from the collected action information of the gamer; and an update result analyzer configured to analyze an consequence on behavior of the gamer with respect to an update of a game service by comparing action sequences of the gamer detected through the gamer action information sequence identifier on the basis of a time point of the update of the game service.

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