Abstract:
Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user's walking, and outputting an electric signal, a pattern calculating unit acquiring a walker's walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.
Abstract:
An image-based hand detection apparatus includes a hand image detection unit for detecting a hand image corresponding to a shape of a hand clenched to form a fist from an image input. A feature point extraction unit extracts feature points from an area, having lower brightness than a reference value, in the detected hand image. An image rotation unit compares the feature points of the detected hand image with feature points of hand images stored in a hand image storage unit, and rotates the detected hand image or the stored hand images. A matching unit compares the detected hand image with the stored hand images and generates a result of the comparison. If at least one of the stored hand images is matched with the detected hand image, a hand shape recognition unit selects the at least one of the stored hand images as a matching hand image.
Abstract:
An image object detection apparatus includes a noise filtering block for removing image noise an input image, an image scaling block for scaling the noise-removed input image to produce a scaled input image, an image conversion block for dividing the scaled input image into multiple regions and converting the divided image by a modified census transform (MCT) method, a data processing block for comparing MCT values of the image converted by the MCT method with a preset threshold, detecting at least one candidate region and identifying a human region from said at least one detected candidate region, and an image output block for marking the identified human region on the noise-removed input image.
Abstract:
Provided are a face detection apparatus and a distance measurement method using the same. The face detection apparatus detects a face using left and right images which are acquired from a stereo camera. The face detection apparatus measures distance from the stereo camera to the face using an image frame which is provided from the stereo camera without a stereo matching process. Accordingly, the face detection apparatus simultaneously performs face detection and distance measurement even in a low-performance system.
Abstract:
A system and a method for detecting a face are provided. The system includes a vision processing unit and a face detection unit. The vision processing unit calculates distance information using a plurality of images including a face pattern, and discriminates between a foreground image including the face pattern and a background image not including the face pattern, using the distance information. The face detection unit scales the foreground image according to the distance information, and detects the face pattern from the scaled foreground image.
Abstract:
Provided are an image matching apparatus and method, and the image matching apparatus includes a determining unit determining whether a node, in which a first pixel of a left image of a subject and a second pixel of a right image of the subject corresponding to the first pixel are calculated, is a matchable region, and an operating unit calculating a disparity value by using the brightness information of a left window composed of the first pixel corresponding to the node and peripheral pixels surrounding the first pixel and the brightness information of a right window composed of the second pixel corresponding to the node and peripheral pixels surrounding the second pixel, when the node is the matchable region as a result of the determination.
Abstract:
There are provided an apparatus and method for vision processing on a network based intelligent service robot system and a system using the same. A robot can move to a target object, avoiding obstacles without helps of a robot server interfaced with a robot terminal over network, by extracting/processing three-dimensional distance information of external objects, using a stereo camera, a low price image processing dedicated chip and an embedded processor. Therefore, the intelligent robot can travel and move using only a stereo camera image processing without other sensors, and further provides users with various functional services with low expense.
Abstract:
A location-based information service method for improving utilization of location-based information services and a mobile terminal for implementing the location-based information service method are provided. A method for providing an information service using a mobile terminal includes acquiring, at a mobile terminal, location information, determining an Internet Protocol (IP) address based on the location information, and receiving service information from a cyber space associated with a service provider that corresponds to the IP address.
Abstract:
An image object detection apparatus includes a noise filtering block for removing image noise an input image, an image scaling block for scaling the noise-removed input image to produce a scaled input image, an image conversion block for dividing the scaled input image into multiple regions and converting the divided image by a modified census transform (MCT) method, a data processing block for comparing MCT values of the image converted by the MCT method with a preset threshold, detecting at least one candidate region and identifying a human region from said at least one detected candidate region, and an image output block for marking the identified human region on the noise-removed input image.
Abstract:
Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user's walking, and outputting an electric signal, a pattern calculating unit acquiring a walker's walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.