Electronics and Telecommunications Research Institute

Mokpo National University Industry-academic Cooperation Foundation

Jang-Hee Yoo

Ki Young Moon

Ho-Won Kim

Ki-Young Moon

Yun-Su Chung

Yongjin Lee

Jin-Woo Choi

Yun Su Chung

Dae Sung Moon

Dae-Sung Moon

So-Hee Park

Jong-Gook Ko

Cheolhwan Yoo

ByungOk Han

Woo-Yong Choi

Sung Uk Jung

Jin Sik Choi

Sung-Uk Jung

Kyo-Il Chung

Woo Yong Choi

Han Sung Lee

Byung-Ok Han

So Hee Park

Jae-Yoon Jang

Byung-Jun Kang

Yong-Jin Lee

Younghwan Kim

Kyoungho Choi

Soonyoung Park

Byung Jun Kang

A method and apparatus for detecting the best shot in a long-range face recognition system is provided. The method of detecting the best shot includes detecting a facial area in an image received from the outside, calculating a quality element measurement value of the face image by analyzing the facial area, and selecting a best shot face image, among the detected facial areas, based on the quality element measurement value.

Method and apparatus for detecting best shot in long-range face recognition system

Disclosed is a computing device, which includes a processor, a camera that captures RGB image data, a memory that stores image data including the RGB image data, and a pupil detection device that detects a pupil from the RGB image data stored in the memory in response to a request of the processor. The pupil detection device includes an image converter that receives the RGB image data, detects first eye area data including eye area information from the received RGB image data, and converts the first eye area data into second eye area data having IR (InfraRed) image characteristics by using a deep neural network, a pupil candidate detector that detects pupil candidate data from the second eye area data, and a pupil boundary detector that detects pupil boundary data from the pupil candidate data.

Pupil detection device, operating method of pupil detection device, and computing device including pupil detection device

Disclosed herein is a method for supporting an attention test based on an attention map and an attention movement map. The method includes generating a score distribution for each segment area of frames satisfying preset conditions, among frames of video content (video) that is produced in advance so as to be suitable for the purpose of a test, generating an attention map corresponding to the frames based on the distribution of the gaze point of a subject, generating an attention movement map corresponding to the frames based on information about movement of the gaze point of the subject, and calculating the attention of the subject using the score distribution for each segment area, the attention map, and the attention movement map.

Apparatus and method for supporting attention test based on attention map and attention movement map

Disclosed herein are an apparatus and method for monitoring a user based on multi-view face images. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may include a face detection unit for extracting face area images from respective user images captured from two or more different viewpoints, a down-conversion unit for generating at least one attribute-specific 2D image by mapping information about at least one attribute in the 3D space of the face area images onto a 2D UV space, and an analysis unit for generating user monitoring information by analyzing the at least one attribute-specific 2D image.

Apparatus and method for monitoring user based on multi-view face image

Disclosed herein are a method and apparatus for active identification based on gaze path analysis. The method may include extracting the face image of a user, extracting the gaze path of the user based on the face image, verifying the identity of the user based on the gaze path, and determining whether the face image is authentic.

Method and apparatus of active identity verification based on gaze path analysis

Disclosed herein is an apparatus and method of searching for a wanted vehicle, capable of interoperating with black boxes mounted in vehicles of unspecified individuals, recognizing and searching for registration numbers of vehicles in proximity of each black box in real time, and identifying a location of the wanted vehicle in real time using information about locations of the searched vehicles. The method includes requesting, by an apparatus for searching for a wanted vehicle, a black box installed in at least one vehicle to search for a registration number of the wanted vehicle, and receiving a response corresponding to the request, and acquiring information about the wanted vehicle and a location of the wanted vehicle corresponding to the response using the black box for recognizing a vehicle registration number or the black box for detecting a vehicle registration number region.

Apparatus and method for searching for wanted vehicle

A human tracking method using a color histogram is disclosed. The human tracking method using the color histogram according to the present invention can more adaptively perform human tracking using different target color histograms according to the human poses, instead of applying only one target color histogram to the tracking process of one person, such that the accuracy of human tracking can be increased. The human tracking method includes performing color space conversion of input video data; calculating a state equation of a particle based on the color-space conversion data; calculating the state equation, and calculating human pose-adaptive observation likelihood; resampling the particle using the observation likelihood, and estimating a state value of the human; and updating a target color histogram.

Human tracking method and apparatus using color histogram

Disclosed herein is an object image capture apparatus. The object image capture apparatus includes a first camera unit, a second camera unit, and a control unit. The first camera unit obtains a wide-area view image by capturing a wide-area view region. The second camera unit obtains a close-up view image by capturing the close-up view region of the wide-area view region. The control unit controls the second camera unit by dividing the wide-area view image into a plurality of blocks, analyzing the resulting blocks, and defining a target block, in which a moving object is detected, as a close-up view region from among the plurality of blocks.

Object image capture apparatus and method

An apparatus for acquiring a face image using multiple cameras so as to identify a human being located at a remote site is disclosed. The apparatus for acquiring a face image using multiple cameras allows a PTZ camera to track an interest object from among objects detected/tracked by a fixed camera, and obtains an optimum face image for remote human identification from images generated by the PTZ camera. The apparatus for acquiring the face image using multiple cameras so as to identify a human located at a remote site includes a multi-camera control module for tracking an interest object being detected/tracked by a fixed camera through a Pan-Tilt-Zoom (PTZ) camera, and generating an image of the interest object; and a face-image acquisition module for acquiring a face image appropriate for identifying a face image of the remote human in the interest object image generated by the multi-camera control module.

Apparatus and method for acquiring face image using multiple cameras so as to identify human located at remote site

A fingerprint verification apparatus that adds chaff fingerprint information to real fingerprint information of a user and then, hides and stores the fingerprint information of the user with a polynomial generated by unique information of the individual, thereby safely protecting the important fingerprint information of the user stored in a storing unit from an external attacker and safely managing an private key using the fingerprint information when using the private key as the unique information for making the polynomial.

Fingerprint verification method and apparatus with high security

An apparatus for determining a fake image includes an image-acquiring block for acquiring an image captured by and input from a camera; and a background-learning block for learning a background of the image to create a learning background. Further, the apparatus for determining the fake image includes a face extracting-block for extracting a face region of a person to be authenticated when an input image for authentication is transmitted from the camera; and an inter-background comparing block for comparing a present background of an input image with the learning background. Furthermore, the apparatus for determining the fake image includes a motion information-comparing block for extracting motion information in the face region and the present background to compare the same with each other; and a fake image-determining block for determining whether the input image is faked using the compared results of the motion information and the backgrounds.

Method and apparatus for determining fake image

A biometric register includes: a feature extraction unit for performing preprocessing for a fingerprint to extract a feature point m for the fingerprint; a transformation function generation unit for generating a transformation function which is composed of an arbitrary rotation matrix and an arbitrary vector; and a template generation unit for transforming a coordinate of the feature point m using the generated transformation function, and organizing a fuzzy vault using a randomly generated fake feature point and a feature point mapplied by the transformed coordinate, thereby generating a one-time template.

Apparatus and method for biometric registration and authentication

A method of detecting a facial image includes pre-processing an image; and detecting a face region from the pre-processed image to create facial records of the detected face region. Further, the method of detecting the facial image includes detecting the facial image by creating coordinates of the face and eyes in the input image by using the facial records.

Apparatus and method for detecting facial image

A user authentication method and apparatus using a face image are provided. The method includes transforming a face image in a normalized spatial domain into frequency-domain data, extracting valid transform coefficients from the frequency-domain data based on energy-concentrated region information, extracting a feature vector from the extracted valid transform coefficients, and performing user authentication by comparing the extracted feature vector with a previously registered feature vector. Accordingly, it is possible to perform user authentication using a face image while using a minimum data dimension, thereby improving the speed and precision thereof.

Method and apparatus for user authentication using face image

Provided is an apparatus and method for automatically controlling power of a video appliance. The apparatus for automatically controlling power of a video appliance includes an image input unit for capturing a viewer's posture, a posture detection unit for detecting posture information from the image captured by the image input unit, a horizontal-level calculation unit for calculating a horizontal level by using the posture information detected by the posture detection unit and comparing the calculated horizontal level with a preset reference horizontal level, an alert-sound output unit for outputting an alert sound corresponding to the horizontal level compared by the horizontal-level calculation unit; and a power-signal transceiver unit for outputting a power-off signal to the video appliance corresponding to the horizontal level compared by the horizontal-level calculation unit. Accordingly, upright posture of viewers watching the video appliance can be ensured since a viewer's posture is detected and power of the video appliance is automatically controlled according to the detected posture.

Growing community of inventors

Daejeon, South Korea

Jang-Hee Yoo