Samsung Electronics Co., Ltd.

Electronics and Telecommunications Research Institute

Sungkyunkwan University

Hyun-Sik Shim

Young-Hee Park

Hyun-Soo Kim

Do-Hyung Kim

Kwang-Min Kim

Woo-Yong Lee

Hee-Jun Song

Je-Han Yoon

Dong-Soo Kim

Soo-Hong Park

Jong-Ho Park

Min-ho Lee

Byung-Kwon Choi

Sun-hee Youm

Min-Soo Koo

Mi-Hwa Park

Jin-Guk Jeong

Moon-Sang Lee

Ji-In Nam

Won-Joo Park

Seung-Hyun Yoon

Seung-hyun Yoon

Seung-Hun Jin

Min-Ho Lee

Jong-Chang Lee

Jae-Wook Jeon

Woo-Han Yun

Sun-Hee Youm

Jae-Han Yoon

Gi-Oh Kim

Tae-Houn Song

Cong-Thien Pham

Duc-Dung Nguyen

Tae-Sin Ha

Joon-Koo Kim

A system and method for connecting devices includes receiving from a first device a request to follow a second device, and setting a following relationship between the first device and the second device in response to the request.

Method and apparatus for connecting devices

A method and an apparatus for sharing media using a social network in a communication system are provided. A method of a transmit terminal for sharing media using a social network includes transmitting to a media server, identification information relating to at least one counterpart terminal, generating media comprising location information associated with the media, and registering the generated media to the media server. A method of a receive terminal for sharing media using a social network includes transmitting to a media server, identification information relating to at least one counterpart terminal, transmitting location information of the receive terminal to the media server, and receiving from the media server, media corresponding to the location information among media registered by the at least one counterpart terminal.

Method and apparatus for sharing media based on social network in communication system

A portable terminal is configured to recognize an image such as a hand shape. The portable terminal includes a motion detection unit that includes a trainer capable of generating uniform training image data to collectively generate a plurality of images of a desired region obtained from an original image in an identical posture and an identical size, and performing a training process to prevent a feature point from being generated in a portion where detection is unnecessary in the generated training image data, and a detector capable of detecting a rotated object from input data, after the training process.

Apparatus and method for recognizing hand shape in portable terminal

A portable terminal includes an apparatus for controlling an operation of a mobile terminal. More particularly, an apparatus and a method sets a menu to control a mobile terminal in a specific region of an image stored in advance. A relevant function is performed by selecting the specific region of the image in which the menu has been set in the mobile terminal, thereby performing the relevant function fast and conveniently without separately selecting a menu (entering a menu). The apparatus includes a controller. The controller selects a specific region from an output image, sets a menu for controlling a function of the mobile terminal at the specific region, and stores the image where the menu has been set.

Apparatus and method for controlling functions of mobile terminal

An apparatus and method can effectively detect both hands and hand shape of a user from images input through cameras. A skin image detecting skin regions from one of the input images and a stereoscopic distance image are used. For hand detection, background and noise are eliminated from a combined image of the skin image and the distance image and regions corresponding to actual both hands are detected from effective images having a high probability of hands. For hand shape detection, a non-skin region is eliminated from the skin image based on the stereoscopic distance information, hand shape candidate regions are detected from the remaining region after elimination, and finally a hand shape is determined.

Apparatus and method for detecting hands of subject in real time

A system and method for motion control of a humanoid robot are provided. The system includes a remote controller for recognizing three-dimensional image information including two-dimensional information and distance information of a user, determining first and second reference points on the basis of the three-dimensional image information, calculating variation in angle of a joint on the basis of three-dimensional coordinates of the first and second reference points, and transmitting a joint control signal through a wired/wireless network. The system also includes a robot for checking joint control data from the joint control signal received from the remote controller and varying an angle of the joint to move according to the user's motion.

System and method for motion control of humanoid robot

A method and apparatus controls an output level of a voice signal for video telephony by considering the distance between a user and a terminal and surrounding noises. An input image signal and an input voice signal of the user to be used for the video telephony are received at the user's terminal. A received image signal and a received voice signal received from the other party's terminal to which the video telephony is connected, are output on the user's terminal. The user's face region included in the input image signal is extracted. A size information of the extracted face region is checked. A distance information about a distance from the user is checked using the size information. And an output level of the received voice signal is controlled based on the distance information.

Method and apparatus for controlling output level of voice signal during video telephony

A face recognition system based on adaptive learning includes a specific person detection and tracking unit for detecting and tracking a specific person from a moving image. A facial feature extraction unit extracts a plurality of facial feature vectors from the detected and tracked specific person. A face recognition unit searches for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model database. A learning target selection unit selects a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors. A registration model learning unit adds and updates the selected facial feature vector to the record of the given registration model.

Face recognition system and method based on adaptive learning

A beam projection apparatus and method with automatic image adjustment. A beam projection apparatus includes an actuator module being operable to move the beam projection apparatus, a beam projector being operable to project images, and a control module being operable to search surrounding structures around the beam projection apparatus and select a plane portion of the surrounding structures as a screen, to control the actuator module to move the beam projection apparatus for image display on the selected plane portion, and to control the beam projector to project the images on the selected plane portion.

Beam projection apparatus and method with automatic image adjustment

Provided are a network-based robot control system and a robot velocity control method in the network-based robot control system. A client calculates a robot control velocity according to its reception state of video data frames captured by a robot, generates a robot control message including the calculated robot control velocity, and transmits the robot control message to the robot. The robot then changes its velocity according to the robot control velocity included in the received robot control message. In this way, the velocity of the robot is controlled according to the video data reception state of the client, thereby allowing a user to easily control the robot regardless of the performance of the client.

Network-based robot control system and robot velocity control method in the network-based robot control system

Provided is a system and method for controlling voice detection of a network terminal. The system includes the network terminal for, if detection of a voice signal is requested, detecting voice by receiving and setting a voice detection setting value corresponding to a predetermined service and generating a trigger signal for the voice detection according to the voice detection setting value corresponding to the service; and a server for determining the service of the network terminal and transmitting the voice detection setting value corresponding to the service to the network terminal. Accordingly, by controlling to commence voice detection according to a service, voice detection optimized to a relevant service can commence.

System and method for controlling voice detection of network terminal

Growing community of inventors

Yongin-si, South Korea

Hyun-Sik Shim