摘要:
A speaker recognition method and apparatus are provided. In the speaker recognition method, basic data and voice data of a speaker are received using contents that constantly request the speaker to constantly response using the speaker's voice. Then, a voice of the speaker is extracted from voice data, and a feature vector for recognition is extracted from the voice of the speaker. Based on the extracted feature vector, a speaker model is created. Then, a speaker stored in a speaker model is recognized based on information analyzed from input voice.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
Provided is a method for measuring environmental parameters for multi-modal fusion. The method for measuring environmental parameters for multi-modal fusion, includes: preparing at least one enrolled modality; receiving at least one input modality; calculating image related environmental parameters of input images in at least one input modality based on illumination of enrolled image in at least one enrolled modality; and comparing the image related environmental parameters with a predetermined reference value and discarding the input image or outputting it as a recognition data according to the comparison result.
摘要:
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.