Abstract: Disclosed are a method and apparatus for masking a privacy area of an image. The method for masking a privacy area of an image includes: detecting a privacy area required to be protected in an image; and performing masking on the image. An important area (a face area of a person, a number plate area of a vehicle, a window area of a house, etc.) detected from an image inputted through a CCTV camera can be effectively and easily encrypted, scrambled, decoded, and descrambled. Also, the position of the important area detected before or after the important area is scrambled can be maintained to be consistent without having to use a metadata file. In addition, a scrambling algorithm of the same key value can be applicable regardless of the size of the important area. As a result, the system efficiency can be enhanced by effectively protecting personal information compared with a CCTV-based video security system.

Abstract: An apparatus and method protects leakage of privacy information by detecting a specific person using a face recognition technology from a video image stored in a video surveillance system and performing privacy masking or mosaic processing on a face of the specific person or faces of other people.

Abstract: 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.

Abstract: 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.

Abstract: 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 m1 applied by the transformed coordinate, thereby generating a one-time template.

Abstract: Disclosed are a method and an apparatus for masking a privacy region based on a monitored video image. The method for masking a privacy region based on a monitored video image, includes: extracting a target object from the video input from an video collector to detect a privacy masking region from the extracted target object; and graphic-processing only the detected privacy masking region of the target object to hide the privacy masking region without transforming an original of the input video, thereby easily hiding the privacy region without transforming original video captured when monitoring an video image of a monitoring target region not to expose the privacy region.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A portable sensor apparatus allowing a mobile device to obtain biometric recognition data required for providing various services without changing the structure and size of the mobile device, and a biometric recognition-based service system having the same are provided. The portable sensor apparatus interworking with a mobile device through a short-distance wireless network includes: a sensor unit acquiring biometric recognition data; a short-distance wireless communications unit providing the biometric recognition data to the mobile device through the short-distance wireless network or receiving a request from the mobile device; a microprocessor commanding to acquire the biometric recognition data in response to a request from the mobile device or a user request; and a user interaction unit receiving the user request or displaying an operational state of the portable sensor apparatus.

Abstract: Disclosed herein is a remote personal authentication system and method using biometrics. The remote personal authentication method using biometrics includes receiving a biometric information of a user remotely detected by a biometric information collection device; decrypting, in a hardware security module (HSM) of the user, the received biometric information and biometric information stored in the HSM; and performing personal authentication for the user by comparing the decrypted biometric information with each other in the HSM.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed are a method and apparatus for masking a privacy area of an image. The method for masking a privacy area of an image includes: detecting a privacy area required to be protected in an image; and performing masking on the image. An important area (a face area of a person, a number plate area of a vehicle, a window area of a house, etc.) detected from an image inputted through a CCTV camera can be effectively and easily encrypted, scrambled, decoded, and descrambled. Also, the position of the important area detected before or after the important area is scrambled can be maintained to be consistent without having to use a metadata file. In addition, a scrambling algorithm of the same key value can be applicable regardless of the size of the important area. As a result, the system efficiency can be enhanced by effectively protecting personal information compared with a CCTV-based video security system.

Abstract: 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.

Abstract: Provided are a method and an apparatus for accurately detecting positions of eyes in an input face image. The method includes extracting a symmetric face region from a face image based on magnitude and phase of gradient in each pixel of the face image; detecting available eye positions based on brightness information of the extracted face region; verifying regions around each of the detected eye positions with a classifier which determines whether an input image is an eye image using information obtained by supervised learning on sample images. According to the present invention, faulty eye detection is prevented by removing obscuring elements such as illumination, glasses and hair from an input face image. Also, eye coordinates can be extracted more accurately using an eye classifier.

Abstract: 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 m1 applied by the transformed coordinate, thereby generating a one-time template.

Abstract: A face recognition and apparatus are provided. According to the method, an SVM classifier is created through machine learning on the basis of a degree of similarity of a divided facial image, and a facial image to be authenticated is normalized to a predetermined size using a center between two eyes. The normalized image is divided into more than one image in horizontal and vertical directions, respectively. Next, predetermined characteristic vectors from the divided images are extracted and a similarity vector based on a degree of similarity with respect to a registered characteristic vector is created. The similarity vector is input to the SVM classifier, so that authentication is performed.

Abstract: An iris recognition method is provided. In the iris recognition method, binary image data is obtained by receiving eye image data and filtering the received eye image data using a predetermined threshold value. Then, candidate center search regions are searched for finding a pupil center using profile information of rows and columns of the binarized image. a pupil boundary and a center point are detected by performing a mask operation using 8 pupil boundary mask templates for each of concentric circles formed of pointes in the searched candidate center search regions as candidate pupil centers and different radiuses. An iris boundary region is detected by performing a masking operation using 6 iris boundary mask templates corresponding to 6 locations for concentric circles formed of the pupil center as an origin and different radiuses.

Abstract: A virtual mouse driving apparatus and method for processing a variety of gesture commands as equivalent mouse commands based on two-handed gesture information obtained by a video camera are provided. The virtual mouse driving method includes: keeping track of an input gesture input with the video camera; removing a background portion of the input gesture image and extracting a left-hand region and a right-hand region from the input gesture image whose background portion has been removed; recognizing a left-hand gesture and a right-hand gesture from the extracted left-hand region and the extracted right-hand region, respectively, and recognizing gesture commands corresponding to the recognition results; and executing the recognized gesture commands.