Abstract:
Disclosed herein are a method for recognizing a table for an electronic menu system based on visible light and an apparatus for the same. The method includes receiving, by a visible light receiver connected to a smart device provided to a customer in a restaurant, multiple visible light signals from multiple lamps installed in the restaurant; detecting at least one valid signal from the multiple visible light signals in consideration of the multiple visible light signals and sensor data collected from a sensor installed in the smart device; and recognizing a table at which the customer is sitting using table information included in the at least one valid signal.
Abstract:
An apparatus and method for detecting an object using a multi-directional integral image are disclosed. The apparatus includes an area segmentation unit, an integral image calculation unit, and an object detection unit. The area segmentation unit places windows having a size of x*y on a full image having w*h pixels so that they overlap each other at their edges, thereby segmenting the full image into a single area, a double area and a quadruple area. The integral image calculation unit calculates a single directional integral image for the single area, and calculates multi-directional integral images for the double and quadruple areas. The object detection unit detects an object for the full image using the single directional integral image and the multi-directional integral images.
Abstract:
An apparatus for magnetic particle imaging, the apparatus comprising: a sensing unit configured to detect linear sample signals, which represent the mixed electromagnetic fields, generated from magnetic particles in a sample; a driving unit configured to move the sensing unit in a direction of X-axis, Y-axis, or Z-axis; and a data processing unit configured to rearrange in a matrix linear sample signals detected by the sensing unit that is moved by the driving unit.
Abstract:
A vehicle detecting apparatus obtains a magnetic signal from strength of a geomagnetic field generated due to a movement of a vehicle, and detects and classifies the moving vehicle on the basis of information regarding the latest magnetic signal change pattern indicating a change in the magnetic signal and information regarding a magnetic signal change pattern with respect to each vehicle stored in a database. The vehicle detecting apparatus receives detection and classification information regarding a vehicle which has actually moved, from an external information providing server, and gradually updates it through learning of a magnetic signal change pattern of the corresponding vehicle.
Abstract:
Disclosed herein is an apparatus and method for sharing the experience of a communication terminal user. The apparatus includes a spatial-temporal information storage unit for storing spatial-temporal information based on an experience of a user who uses a communication terminal, an experience trajectory generation unit for generating experience trajectories, each composed of move and stop actions of the user, based on the stored spatial-temporal information, a semantic trajectory generation unit for grouping the generated experience trajectories and generating semantic trajectories for respective groups, a content editing unit for creating content associated with the generated semantic trajectories and editing the content, and a first communication unit for communicating with a server to share the semantic trajectories and the content associated with the semantic trajectories with other users.
Abstract:
A system for generating crowdsourcing-based image knowledge content, includes an image provision unit configured to provide image data; and an image crowdsourcing unit configured to generate, store, or manage image knowledge in order to provide an image-base knowledge service. Further, the system includes an image acquisition and processing unit configured to connect the image provision unit and the image crowdsourcing unit and actively or automatically provide a crowdsourcing technique.
Abstract:
Disclosed herein is an apparatus and method for correcting the location of a base station. The apparatus includes a data collection unit for receiving collected data including collection places and scan data acquired from the collection places from a collection-only terminal, and receiving scan data having no collection places from a user service terminal. A determination unit obtains correlations between respective base stations based on a number of times each base station in an identical search group is found in a search using the collected data or the scan data, and determines whether a base station has been moved, deleted or added, based on the correlations between respective base stations. A location specification unit specifies a location of the corresponding base station that has changed due to any one of the movement, deletion, and addition of the base station, based on results of the determination.
Abstract:
A method includes matching a pupil center position obtained from image information taken by a camera and a center position of an UI on a display panel of a terminal, and recognizing the match as a touch on the UI when the match between the pupil center position and the center position of the UI is kept for a predetermined time or more.
Abstract:
A system and a method for motion estimation are disclosed. The system for motion estimation in accordance with an embodiment of the present invention includes: a plurality of motion sensors mounted near joints of a body and configured to provide motion information; a depth sensor configured to provide 3-dimensional image information having a 3-dimensional coordinate for each pixel; and a motion estimation device configured to estimate a motion by use of the motion information and the 3-dimensioanl image information, wherein the motion estimation device includes: a converging unit configured to compute mounting position information of the motion sensors by performing an initialization process by converging the motion information and the 3-dimensional image information; and an estimating unit configured to estimate the motion by computing a state vector including the mounting position information and the motion information.
Abstract:
An apparatus includes an image receiving module configured to collect a depth image provided from a camera, a human body detection module configured to detect a human body from the collected depth image, and an activity recognition module configured to recognize an action of the human body on the basis of a 3-dimensional action volume extracted from the human body and a previously learned action model.