Abstract: A domain adaptation-based object recognition apparatus includes a memory configured to store a domain adaptation-based object recognition program and a processor configured to execute the program. The processor learns a generative model for generating a feature or an image similar to a gallery image on the basis of domain adaptation in association with an input probe image and learns an object recognition classification model by using a learning database corresponding to the gallery image and the input probe image, thereby performing object recognition using the input probe image.

Abstract: Provided is a dynamic object detecting technique, and more specifically, a system and method for determining a state of a motion of a camera on the basis of a local motion estimated on the basis of a video captured by a dynamic camera and a result of analyzing a global motion, flexibly updating a background model according to the state of the motion of the camera, and flexibly detecting a dynamic object according to the state of the motion of the camera.

Abstract: A semiconductor device is provided. The semiconductor device includes a gate spacer that defines a trench on a substrate and includes an upper part and a lower part, a gate insulating film that extends along sidewalls and a bottom surface of the trench and is not in contact with the upper part of the gate spacer, a lower conductive film that extends on the gate insulating film along the sidewalls and the bottom surface of the trench and is not overlapped with the upper part of the gate spacer, and an upper conductive film on an uppermost part of the gate insulating film on the lower conductive film.

Abstract: Smart glasses for selectively tracking a target of visual cognition according to the present invention include a first camera configured to capture a first input image that is a first-person view image of a user, a second camera configured to capture a second input image containing sight line information of the user, a display configured to output additional information corresponding to the first input image, a memory configured to store a program for selectively tracking a target of visual cognition on the basis of the first and second input images, and a processor configured to execute the program stored in the memory, wherein upon executing the program, the processor is configured to detect the target of visual cognition from the first input image and determine, from the second input image, whether the user is in an inattentive state with respect to the target of visual cognition.

Abstract: An outdoor unit of an air conditioner includes a current carrying path formed between a control box and an outdoor heat exchanger, and electromagnetic noise generated in the control box is transmitted to the outdoor heat exchanger and efficiently discharged to air through the outdoor heat exchanger.

Abstract: An apparatus and method for detecting a foreground in an image is provided, and the foreground detecting apparatus includes a context information estimator configured to estimate context information on a scene from an image frame of the image, a background model constructor configured to construct a background model of the image frame using the estimated context information, and a foreground detector configured to detect a foreground from the image frame based on the constructed background model.

Abstract: Provided is a dynamic object detecting technique, and more specifically, a system and method for determining a state of a motion of a camera on the basis of a local motion estimated on the basis of a video captured by a dynamic camera and a result of analyzing a global motion, flexibly updating a background model according to the state of the motion of the camera, and flexibly detecting a dynamic object according to the state of the motion of the camera.

Abstract: An apparatus and method for detecting a foreground in an image is provided, and the foreground detecting apparatus includes a context information estimator configured to estimate context information on a scene from an image frame of the image, a background model constructor configured to construct a background model of the image frame using the estimated context information, and a foreground detector configured to detect a foreground from the image frame based on the constructed background model.

Abstract: An apparatus for detecting an object includes a filter for filtering a current input image and a background model generated based on a previous input image, a homography matrix estimation unit for estimating a homography matrix between the current input image and the background model, an image alignment unit for converting the background model by applying the homography matrix to a filtered background model and aligning a converted background model and a filtered current input image, and a foreground/background detection unit for detecting a foreground by comparing corresponding pixels between the converted background model and the filtered current input image.