Electronics and Telecommunications Research Institute

Lotte Chemical Corporation

Jae Yeon Lee

Jae Hong Kim

Hye Jin Kim

Ho Sub Yoon

Joo Chan Sohn

Woo Han Yun

Su Young Chi

Yun Koo Chung

Kye Kyung Kim

Sang Seung Kang

Chan Kyu Park

Byung Tae Chun

Young Woo Yoon

Jong Hyun Park

Min Su Jang

Dae Ha Lee

Kyu Seo Han

Jung Soh

Se Yoon Jeong

Do-Hyung Kim

Jae Il Cho

Joong Bae Kim

Mun Sung Han

Hyeon Sung Cho

Cheon Shu Park

Kyu Dae Ban

Young Lae Bae

Do Hyung Kim

Chieteuk Ahn

Jong-Hyun Park

Dae Hwan Hwang

Kyu Heon Kim

Eul Gyoon Lim

Young Jo Cho

Ho Sun Yoon

Ji Ho Chang

Seung Min Choi

Young-Jo Cho

Ho Chul Shin

Young Jong Seo

Yongwha Chung

Eun Hye Jang

Suyoung Chi

Kyu-Dae Ban

Hee Sung Chae

Joungmo Cho

Seung Hee Kang

Youngwoo Yoon

Byung Tea Chun

In Ae Kim

Provided are an ethanol dehydration catalyst having a high ethylene yield even at a low temperature region, as an ethanol dehydration catalyst for converting a feedstock including anhydrous ethanol or hydrous ethanol to ethylene, and a method of preparing ethylene by using the same. In the ethanol dehydration catalyst for converting a feedstock including anhydrous ethanol or hydrous ethanol to ethylene of the present invention, the catalyst includes 0.1 wt % to 0.5 wt % of lanthanum (La) or 0.05 wt % to 1 wt % of gallium (Ga) in ZSM-5.

Ethanol dehydration catalyst for energy saving and method of manufacturing ethylene using same

The present invention relates to a device and a method of detecting arbitrarily piled objects, and a device and a method for picking a detected object. The present invention may provide a device and a method of detecting an object, which extract a unique local characterized part of the object by using a visual sensor, detect an object region, and estimate a posture from the detected object region. Also the present invention may provide an object picking system capable of being applied to an actual production process, such as assembling or packaging, in a cell producing method.

Object picking system, object detecting device, object detecting method

Disclosed is a working method using a sensor, which increases recognition of a component to increase mounting of a component and enhancing productivity. The working method includes: extracting an object to be picked from a pile of objects using the sensor; picking the extracted object to move the picked object to a predetermined place; and estimating an angle of the moved object in the current position using the sensor. Accordingly, the working method can perform precise component recognition and posture estimation by two steps: a component picking step and a component recognition step, and effectively apply to a manufacturing line, thereby improving mounting of a component and enhancing productivity of a product.

Working method using sensor and working system for performing same

Disclosed are an apparatus for tracking a location of a hand, includes: a skin color image detector for detecting a skin color region from an image input from an image device using a predetermined skin color of a user; a face tracker for tracking a face using the detected skin color image; a motion detector for setting a ROI using location information of the tracked face, and detecting a motion image from the set ROI; a candidate region extractor for extracting a candidate region with respect to a hand of the user using the skin color image detected by the skin color image detector and the motion image detected by the motion detector; and a hand tracker for tracking a location of the hand in the extracted candidate region to find out a final location of the hand.

Apparatus and method for tracking hand

Provided are a human-tracking method and a robot apparatus. The human-tracking method includes receiving an image frame including a color image and a depth image, determining whether user tracking was successful in a previous image frame, and determining a location of a user and a goal position to which a robot apparatus is to move based on the color image and the depth image in the image frame, when user tracking was successful in the previous frame. Accordingly, a current location of the user can be predicted from the depth image, user tracking can be quickly performed, and the user can be re-detected and tracked using user information acquired in user tracking when detection of the user fails due to obstacles or the like.

Human-tracking method and robot apparatus for performing the same

An apparatus includes an image receiving module configured to collect a depth image provided from a camera, a human body detection module configured to detect a human body from the collected depth image, and an activity recognition module configured to recognize an action of the human body on the basis of a 3-dimensional action volume extracted from the human body and a previously learned action model.

Apparatus and method for providing activity recognition based application service

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 are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention. The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.

System for recognizing disguised face using gabor feature and SVM classifier and method thereof

Disclosed is a typewriter system and a text input method capable of accurately recognizing words by correcting words input using a mediated interface device based on a dictionary. A plurality of texts are combined by referencing a text recognition order set in which recognition results of texts are arranged according to a recognition order from texts input through the mediated interface device and the combined text is filtered using part index maps formed of part words that are an accumulated set of texts forming complete words. The part words passing through the part index maps is again filtered using a dictionary including context information formed of a set of words in a specific category, thereby making it possible to accurately recognize the words. The part words that cannot form words in a dictionary are removed in advance using the part index maps, thereby improving the recognition efficiency.

Typewriter system and text input method using mediated interface device

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

Disclosed are a device and a method for localizing a user indoors using a wireless local area network, and more particularly, a localization device and a localization method that improve localization accuracy by fusing various context information when localizing a user-portable/wearable device connected with a wireless network based on an RF-based wireless network such as ZigBee.

Localization device and localization method

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

Disclosed are an apparatus and a method for sensing photoplethysmogram and fall. According to the present invention, the apparatus and for sensing photoplethysmogram and fall may include: a sensor unit that senses acceleration and photoplethysmogram; a photoplethysmogram/fall determining module that synthetically tests sensed acceleration signals and photoplethysmogram signals sensed by the sensor unit to determine whether emergency occurs due to fall or emergency occurs due to photoplethysmogram; and a communication module that transmits the test results.

Apparatus and method for sensing photoplethysmogram and fall

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

Growing community of inventors

Daejeon, South Korea

Jae Yeon Lee