Abstract: An image sensing device collects the speech and image of a person to be sensed and carries out recognition of the collected speech. When the image sensing device determines as the recognition result that the speech represents a predetermined sentence, the image sensing device performs recognition on an acquired image. When the image sensing device determines as a recognition result that the image is a human face showing a predetermined facial expression, the image sensing device records the image and audio information.

Abstract: An information processing apparatus inputs an image, detects the face of a person from the input image, and calculates a feature amount associated with the open/closed state of eyes of the detected face. In addition, the information processing apparatus calculates, as a feature-change amount, the difference between the calculated feature amount and a predetermined feature amount, and calculates the eye open/closed degree of eyes of the detected face on the basis of the feature amount and the feature-change amount.

Abstract: A person area is detected from an inputted image, a category to which a person shown in the person area belongs is recognized, a correction area is extracted from the person area, and the correction area is corrected based on the recognized category. Thus, the inputted image is easily corrected in an appropriate manner according to the category of the person, that is, an object.

Abstract: An eye region is extracted from an input image. A poor pupil hue quality region is extracted from the eye region. A high brightness region is extracted from the poor pupil hue quality region. A region obtained by excluding the high brightness region from the poor pupil hue quality region is extracted as a red-eye region. The high brightness region is corrected by using a method different from that for the red-eye region.

Abstract: A peptide having any one of the amino acid sequences of SEQ ID NO: 1 or 13, preferably a peptide having any one of the amino acid sequences of SEQ ID NOS: 2 to 9 or a peptide having any one of the amino acid sequences of SEQ ID NOS: 10 and 15 to 17, is used as an active ingredient of an agent for promoting growth or differentiation of cells such as osteoblasts, chondroblasts, cementoblasts, bone marrow-derived mesenchymal stem cells and periodontal ligament-derived cells.

Abstract: In a pattern identification method in which input data is classified into predetermined classes by sequentially executing a combination of a plurality of classification processes, at least one of the classification processes includes a mapping step of mapping the input data in an N (N?2) dimensional feature space as corresponding points, a determination step of determining whether or not to execute the next classification process based on the corresponding points, and selecting step of selecting a classification process to be executed next based on the corresponding points when it is determined in the determination step that the next classification process should be executed.

Abstract: An acid addition salt of a carba-sugar amine derivative represented by the following formula (1): wherein R1 and R2 each independently represents a hydrogen atom, or an alkyl group, an alkenyl group, an alkynyl group, an acyl group, an aryl group or an aralkyl group which may have one or at least two of the following substituent (I) or (II), or R1 and R2 are taken together to represent a substituent (III) (R8 to R12 each independently represents an alkyl group, an alkenyl group, an alkynyl group, an acyl group, an aryl group or an aralkyl group), with the proviso that both R1 and R2 are not a hydrogen atom at the same time; R3, R4 and R7 each independently represents a hydroxyl group or a hydroxyl group having a substituent; and R5 and R6 each independently represents a hydrogen atom, or a hydroxyl group or a hydroxyl group having a substituent, with the proviso that when one of R5 and R6 is a hydrogen atom, the other is a hydroxyl group or a hydroxyl group having a substituent.

Abstract: The present invention provides an agent which induces acceleration of hard tissue formation, acceleration of cell differentiation and increase in cellular alkaline phosphatase activity, by directly acting on the cell. Specifically, it provides a hard tissue formation promoter, a cell differentiation inducer and a cellular alkaline phosphatase activity reinforcing agent comprising, as an active ingredient, a glycosaminoglycan or a salt thereof that keeps sulfate group and has the characteristics of the following (1) and (2): (1) a basic structure is a disaccharide repeating structure consisting of a hexuronic acid residue and a glucosamine residue, (2) one or less of the position among a 2-position hydroxyl group of a hexuronic acid residue, a 6-position hydroxyl group of a glucosamine residue and a 2-position amino group of the glucosamine residue in the basic structure of the aforementioned (1) does not have the sulfate group.

Abstract: An image-processing apparatus for executing accurate facial expression recognition even for a subject hard to recognize a facial expression is provided. A person's face region is extracted from an image input from an image input unit. A predetermined partial region that changes between when the facial expression is in the first and second states is extracted from the extracted face region. A facial expression evaluation value is calculated using an evaluation value calculation formula. When the calculated facial expression evaluation value exceeds a threshold value, it is determined that the facial expression is in the second state. If the difference between the maximum value and the minimum value of the calculated facial expression evaluation value within a predetermined time is smaller than a predetermined value, the evaluation value calculation formula or its parameter is changed to increase the difference.

Abstract: A person is detected as a subject from an image obtained by image capture, and information, for example, the number of such subjects, is obtained as subject-related information. Then, the greater the number of subjects, the more a setting of a condition that the subjects should satisfy is relaxed. As a result, in an image processing apparatus having a function that identifies a subject state, the usability of that function that identifies the subjects can be improved even in a case in which multiple subjects are present.

Abstract: A situation monitoring device which enables monitoring of a variety of situations and reporting in response to the situation using a single device is provided. The situation monitoring device is easy to install and to use and a system therefore can be implemented inexpensively. The situation monitoring device recognizes a place or installation where the device is installed (step S102), holds relational information correlating the place of installation and the situation to be recognized and determines a predetermined situation to be recognized according to place of installation recognition results and the relational information (step S104), recognizes a determined predetermined situation (step S106), and reports the result of the predetermined situation to a user (step S108).

Abstract: A feature point detection unit (153) and feature amount extraction unit (154) extract a plurality of features of an object from input image data. When there are unextracted features of the plurality of features, a weight setting unit (155) sets weights for the extracted features. A facial expression determination unit (156) executes recognition processing of the object based on the features weighted by the weight setting unit (155).

Abstract: An eye region is detected, in the detected eye region, the region of an iris outline is extended inward, and a hollow region surrounded by the extended region is detected as a poor hue quality region. An outline of the poor hue quality region is shaped by approximating the outline to one of a circle and an ellipse. The hue of the shaped poor hue quality region is corrected on the basis of color information obtained from a neighboring region inside an iris outline.

Abstract: An image capturing apparatus includes an image input unit which photo-electrically converts an object image to generate an image signal, a status determination unit which determines an object status in an image generated by the image input unit, an automatic image capturing instruction unit which starts an automatic image capturing operation as an operation to automatically store the image generated by the image input unit in the first storage unit when the object status determined by the status determination unit satisfies a predetermined automatic image capturing condition, and a shooting control unit which automatically stores the image generated by the image input unit in the second storage unit when the object status does not satisfy the automatic image capturing condition even upon the lapse of a predetermined time after the automatic image capturing instruction unit designates the automatic image capturing operation.

Abstract: A peptide having any one of the amino acid sequences of SEQ ID NO: 1 or 13, preferably a peptide having any one of the amino acid sequences of SEQ ID NOS: 2 to 9 or a peptide having any one of the amino acid sequences of SEQ ID NOS: 10 and 15 to 17, is used as an active ingredient of an agent for promoting growth or differentiation of cells such as osteoblasts, chondroblasts, cementoblasts, bone marrow-derived mesenchymal stem cells and periodontal ligament-derived cells.

Abstract: An information processing apparatus includes an image input unit which inputs image data containing a face, a face position detection unit which detects, from the image data, the position of a specific part of the face, and a facial expression recognition unit which detects a feature point of the face from the image data on the basis of the detected position of the specific part and determines facial expression of the face on the basis of the detected feature point. The feature point is detected at a detection accuracy higher than detection of the position of the specific part. Detection of the position of the specific part is robust to a variation in the detection target.

Abstract: In an image capturing apparatus, a video input unit (2) captures the image of an object and sequentially acquires image data associated with the image capturing, a model data memory (6) stores model data associated with the first feature quantity calculated from a feature point of the object in a model image, a principal object detection unit (3) calculates the second feature quantity from a feature point of the object in the acquired image data, a state change estimation unit (4) estimates, on the basis of the second feature quantity and the model data, the timing when the object satisfies a predetermined condition, and an image input processing control unit (7) stores the image data corresponding to the estimated timing in an image recording unit (5). This configuration makes the image capturing apparatus acquire an image in a more proper state without large-capacity memory.

Abstract: An acid addition salt of a carba-sugar amine derivative represented by the following formula (1): wherein R1 and R2 each independently represents a hydrogen atom, or an alkyl group, an alkenyl group, an alkynyl group, an acyl group, an aryl group or an aralkyl group which may have one or at least two of the following substituent (I) or (II), or R1 and R2 are taken together to represent a substituent (III) (R8 to R12 each independently represents an alkyl group, an alkenyl group, an alkynyl group, an acyl group, an aryl group or an aralkyl group), with the proviso that both R1 and R2 are not a hydrogen atom at the same time; R3, R4 and R7 each independently represents a hydroxyl group or a hydroxyl group having a substituent; and R5 and R6 each independently represents a hydrogen atom, or a hydroxyl group or a hydroxyl group having a substituent, with the proviso that when one of R5 and R6 is a hydrogen atom, the other is a hydroxyl group or a hydroxyl group having a substituent.

Abstract: A plurality of kinds of feature amounts are collected from image information and voice information on a person existing in a space, valid values of the collected feature amounts are calculated, feature amounts to be used for personal recognition are determined in the collected feature amounts on the basis of the calculated valid values, and personal recognition is performed by using the determined feature amounts.

Abstract: An image sensing device is provided that collects the speech and image of a person to be sensed and carries out recognition of collected speech. When the image sensing device determines as the recognition result that the speech represents a predetermined sentence, the image sensing device performs recognition on an acquired image. When the image sensing device determines as a recognition result that the image is a human face showing a predetermined facial expression, the image sensing device records the image and audio information.