Electronics and Telecommunications Research Institute

Su Young Chi

Hye Jin Kim

Jae Yeon Lee

Jae Hong Kim

Ho Sub Yoon

Kye Kyung Kim

Woo Han Yun

Joo Chan Sohn

Yun Koo Chung

Young Woo Yoon

Won Pil Yu

Mun Sung Han

Kyu Dae Ban

Hyoung Gu Lee

Soo Hyun Cho

Young Sup Hwang

Weon Geun Oh

Kyung Ae Moon

Jong Hyun Park

Young Jo Cho

Jae Il Cho

Sang Seung Kang

Dae Ha Lee

Byung Tae Chun

Eun Hye Jang

Dae Geun Jang

The present invention relates to an apparatus for recognizing intention of a horse-riding simulator user, and a method thereof, and the apparatus for recognizing intention of a horse-riding simulator user can provide a safe and realistic horse-riding simulation environment to a user by recognizing an aid signal and an intention signal of the user to sense a dangerous situation and accordingly coping with the situation. According to the present invention, it is possible to increase the sense of the real for the user by enabling the horse-riding simulator user to perform similar interaction to actual horse-riding, and to increase effects of horse-riding training using the horse-riding simulator. Particularly, there is an advantage that the dangerous situation is sensed for safe riding, and it is possible to contribute to formation of a related technology market by providing an effective method for recognition of the intention of the horse-riding simulator user.

Apparatus for recognizing intention of horse-riding simulator user and method thereof

Provided is a gesture recognition apparatus. The gesture recognition apparatus includes a human detection unit, a gesture region setting region, an arm detection unit and a gesture determination unit. The human detection unit detects a face region of a user from an input image. The gesture region setting unit sets a gesture region, in which a gesture of the user's arm occurs, with respect to the detected face region. The arm detection unit detects an arm region of the user in the gesture region. The gesture determination unit analyzes a position, moving directionality and shape information of the arm region in the gesture region to determine a target gesture of the user. Such a gesture recognition apparatus may be used as a useful means for a human-robot interaction in a long distance where a robot has difficulty in recognizing a user's voice.

Gesture recognition apparatus, robot system including the same and gesture recognition method using the same

Disclosed are a component recognizing apparatus and a component recognizing method. The component recognizing apparatus includes: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result.

Component recognizing apparatus and component recognizing method

Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.

Apparatus and method for detecting upper body

Provided is a walking supporting apparatus for supporting a user walking by using a multi-sensor signal processing system that detects a walking intent. A palm sensor unit detects a force applied to a palm through a stick to generate a palm sensor signal. A sensor unit detects a force applied to a sole through the ground to generate a sole sensor signal. A portable information processing unit checks a user's walking intent by using the palm sensor signal, and if it is checked that the user has a walking intent, the portable information processing unit generates a driving signal in response to the sole sensor signal. A walking supporting mechanism includes a left motor attached to a user's left leg and a right motor attached to a user's right leg to support the user's walking when the left and right motors are driven in response to the driving signal.

Multi-sensor signal processing system for detecting walking intent, walking supporting apparatus comprising the system and method for controlling the apparatus

The present invention detects a candidate ROI group associated with character strings/figure strings on the basis of a result acquired through prior learning of various types of license plates, verifies the interested region candidate group detected by using at least one condition of five predetermined conditions, and determines an MBR region in the selected ROI region from the verified interested region candidate group by considering a ratio between the height and width of the ROI region to recognize the license plate for the automobile. According to the present invention, it is possible to automatically detect the location of the license plate regardless of various types of license plate specifications defined for each of countries.

Apparatus and method for recognizing identifier of vehicle

A method and apparatus for recognizing a gesture in an image processing system. In the apparatus, an input unit receives an image obtained by capturing a gesture of a user using a camera. A detector detects a face area in the input image, and detects a hand area in gesture search areas. The gesture search areas being set by dividing the image into predetermined areas with reference to a predetermined location of the detected face area. A controller sets the gesture search areas, determines whether a gesture occurs in the detected hand area, and selects a detection area with respect to the gesture to generate a control command for controlling an image device. A calculator calculates skin-color information and differential-area information for checking a gesture in the detected hand area. Accordingly, a hand area can be accurately detected, and a gesture can be separated from peripheral movement information, so that mal-functioning caused by gesture recognition can be reduced.

Method and apparatus for recognizing gesture in image processing system

Disclosed is a method of segmenting handwritten touching numeral strings having a non-vertical segmentation line. The method comprises the steps of: receiving an image of the handwritten touching numeral strings having the non-vertical segmentation line extracted from a specially patterned document; smoothing an uneven shape of the image of handwritten touching numeral strings; searching a contour line for the image of smoothed handwritten touching numeral strings; searching a candidate segmentation region, in which the touching numeral strings may exist, from the searched contour line; searching a candidate segmentation point within the candidate segmentation region; searching a vertical segmentation line for segmenting the handwritten touching numeral strings from the candidate segmentation point; searching the non-vertical segmentation line for segmenting the handwritten touching numeral strings having any inclination from the candidate segmentation lines; and segmenting the handwritten touching numeral strings by use of the vertical and non-vertical segmentation lines.

Method of segmenting handwritten touching numeral strings having non-vertical segmentation line

Disclosed is a method of segmenting touching numeral strings contained in handwritten touching numeral strings, and recognizing the numeral strings by use of feature information and recognized results provided by inherent structure of digits. The method comprises the steps of: receiving a handwritten numeral string extracted from a pattern document; smoothing a curved numeral image of the handwritten numeral string, and searching connecting components in the numeral image; determining whether or not the numeral string is a touching numeral string; if it is determined that the numeral string is the touching numeral string, searching a contour of the touching numeral string image; searching candidate segmentation points in the contour, and segmenting sub-images; computing a segmentation confidence value on each segmented sub-image by use of a segmentation error function to select the sub-image with the highest segmentation confidence value as a segmented numeral image in the touching numeral string image; if it is determined in the step c that the numeral string is not the touching numeral string, extracting a feature to recognize the segmented numeral image; segmenting the numeral image selected from the touching numeral string in the highest segmenting confidence value; and obtaining remaining numeral string image.

Method for segmentation-based recognizing handwritten touching numeral strings

Disclosed is a method for recognizing multi-language printed documents, a method for extracting character features according to the present invention, the method comprising the steps of: a) normalizing characters to a fixed size; b) converting the size-fixed characters into mesh-type characters; c) extracting stroke features of each of the mesh-type characters; d) extracting non-stroke features of each of the mesh-type characters; and e) extracting the character features using the stroke features and the non-stroke features. The present invention provides a high recognition rate irrespective of the size and modification of the characters, by extracting the character feature from the stroke and non-stroke in the mesh block.

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Daejeon, South Korea

Su Young Chi