Abstract: A color chart detection apparatus that detects a color chart from an image representing the color chart having a plurality of palettes arranged in a predefined order is provided. The color chart detection apparatus: extracts any pixel having a color component corresponding to each designated one of a predetermined number of palettes; selects at least three palettes to form a first group and, when a combination of pixels selected on a palette-by-palette basis from among the pixels extracted for the respective palettes included in the first group is arranged in the predefined order, detects each of the pixels included in the combination as being a candidate pixel; and based on the candidate pixel, computes color information representing color of the palette corresponding to the candidate pixel on the image and position information representing position of the corresponding palette on the image.

Abstract: A subject tracking device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, detecting at least one subject candidate area in which it is probable that a tracking target subject appears on an image that is received from an imaging unit; calculating a degree of blur of the subject candidate area for each of the subject candidate areas; determining that the subject appears in a subject candidate area having a degree of blur in accordance with a moving speed of the subject, out of the subject candidate areas; and deciding movement of the subject depending on a movement direction from an area in which the subject appears on a previous image that is captured by the imaging unit before capturing the image, to the subject candidate area in which the subject appears on the image.

Abstract: An image processing apparatus, includes: a processor coupled to a memory, configured to: detect corresponding relationships between lines of two or more pairs in a pair of images each having different local deformation, correct the local deformation of each of the pair of images, based on the corresponding relationships between the lines of the two or more pairs in the pair of images, and concatenate the pair of images in which the local deformation is corrected into a single image.

Abstract: A signal processing device includes: a memory; and a processor coupled to the memory and configured to: detect a second feature value relating to a first feature value recognized to satisfy a recognition condition, from a second time series prior to a first time series of the first feature value in a times series of a feature value corresponding to an input signal, and change the recognition condition so that the second feature value is recognized as a class for recognizing the first feature value.

Abstract: A color chart detection apparatus that detects a color chart from an image representing the color chart having a plurality of palettes arranged in a predefined order is provided. The color chart detection apparatus: extracts any pixel having a color component corresponding to each designated one of a predetermined number of palettes; selects at least three palettes to form a first group and, when a combination of pixels selected on a palette-by-palette basis from among the pixels extracted for the respective palettes included in the first group is arranged in the predefined order, detects each of the pixels included in the combination as being a candidate pixel; and based on the candidate pixel, computes color information representing color of the palette corresponding to the candidate pixel on the image and position information representing position of the corresponding palette on the image.

Abstract: An image processing apparatus 10 acquires an image. And, the image processing apparatus 10 extracts a domain characterizing an object of gesture recognition from the acquired image. Then, the image processing apparatus 10 maps domains between frames of the image. And then, the image processing apparatus 10 extracts a moving direction of the domains. And then, the image processing apparatus 10 outputs the moving direction when a moving distance of the domains is greater than a predetermined threshold. And then, the image processing apparatus 10 updates the threshold using a moving distance exceeding the threshold.

Abstract: A signal processing device includes: a memory; and a processor coupled to the memory and configured to: detect a second feature value relating to a first feature value recognized to satisfy a recognition condition, from a second time series prior to a first time series of the first feature value in a times series of a feature value corresponding to an input signal, and change the recognition condition so that the second feature value is recognized as a class for recognizing the first feature value.

Abstract: A signal processing device includes: a memory; and a processor coupled to the memory and configured to: detect a repetition of a feature value from a time series of the feature value corresponding to an input signal, change a recognition condition for recognizing a class for the feature value when the repetition of the feature value is detected.

Abstract: An information processing device includes a processor that executes a procedure. The procedure includes: (a) acquiring concentration level information relating to a degree of concentration of a user on the device; (b) acquiring action information that directly or indirectly represents an action of the user; (c) setting a first threshold that is for determining, in accordance with the concentration level information acquired in (a), whether or not the action information acquired in (b) is an operational instruction; and (d) determining, using the first threshold set in (c), whether or not the action of the user represented by the action information acquired in (b) is intended as an operational instruction by the user.

Abstract: An image processing apparatus includes a central-portion extracting unit, a classifying unit and a determining unit. The central-portion extracting unit extracts edges from an image area and extracts a plurality of central portions of areas each of which is sandwiched between the edges. The classifying unit groups the central portions by classifying adjacent central portions that have no edge therebetween into a single group. The determining unit determines an area of finger, the area of finger being surrounded by the central portions classified into a group by the classifying unit and peripheral edges of the central portion, the area of finger being an area where a ratio of a luminance gradient in a short side direction to a luminance gradient in a long side direction is within a predetermined threshold.

Abstract: An image processing apparatus, includes: a processor coupled to a memory, configured to: detect corresponding relationships between lines of two or more pairs in a pair of images each having different local deformation, correct the local deformation of each of the pair of images, based on the corresponding relationships between the lines of the two or more pairs in the pair of images, and concatenate the pair of images in which the local deformation is corrected into a single image.

Abstract: A subject tracking device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, detecting at least one subject candidate area in which it is probable that a tracking target subject appears on an image that is received from an imaging unit; calculating a degree of blur of the subject candidate area for each of the subject candidate areas; determining that the subject appears in a subject candidate area having a degree of blur in accordance with a moving speed of the subject, out of the subject candidate areas; and deciding movement of the subject depending on a movement direction from an area in which the subject appears on a previous image that is captured by the imaging unit before capturing the image, to the subject candidate area in which the subject appears on the image.

Abstract: An image recognition apparatus recognizes the correspondence between character strings and logical elements composing a logical structure in an image in which the character strings are described as the logical elements to recognize each logical element.

Abstract: A character area extracting device includes a reflective and non-reflective area separation unit separating image data into reflective and non-reflective areas, and binarizing the image data by changing a first threshold value when it is inappropriate; a reflective area binarizing unit separating the reflective area into character and background areas, and binarizing it by changing a second threshold value when it is inappropriate; a non-reflective area binarizing unit separating the non-reflective area into the character and background areas, and binarizing it by changing a third threshold value when it is inappropriate; a reflective and non-reflective area separation evaluation unit; and a line extracting unit connecting the character areas of the reflective and non-reflective areas and extracting positional information of the connected character areas in the image data.

Abstract: The form data extracting apparatus, even input form does not have a logical structure stored in the generic logical structure DB, by using logical elements in the existing logical structure and a registered form obtained on the basis of (a) the logical structure, (b) pieces of position information of the logical elements, and (c) a relation between the logical elements. A logical element and a logical structure are extracted from the input form, and the extracted logical structure can be defined as a new registered form or a new logical structure.

Abstract: An image processing apparatus 10 acquires an image. And, the image processing apparatus 10 extracts a domain characterizing an object of gesture recognition from the acquired image. Then, the image processing apparatus 10 maps domains between frames of the image. And then, the image processing apparatus 10 extracts a moving direction of the domains. And then, the image processing apparatus 10 outputs the moving direction when a moving distance of the domains is greater than a predetermined threshold. And then, the image processing apparatus 10 updates the threshold using a moving distance exceeding the threshold.

Abstract: A dictionary creating apparatus registers probability distributions each including an average vector and a covariance matrix, in a dictionary. The dictionary creating apparatus organizes plural distribution profiles of character categories having similar feature vectors into one typical distribution profile, and registers the typical distribution profile and the character categories to be organized, associated with each other, in the dictionary, without registering eigenvalues and eigenvectors of all character categories, associated with each other, in the dictionary.

Abstract: A method for processing a document image includes: performing horizontal and vertical text line extraction on the document image; providing an overlapping matrix, a value of an element of the overlapping matrix indicating an overlapping relation between horizontal and vertical text lines; merging the overlapping matrix in the vertical and horizontal direction; determining one or more text overlapping regions in the document image, based on the values of the elements of the merged overlapping matrix; counting the total number of strokes or pixel points in the horizontal and vertical text lines, respectively, within one of the one or more text overlapping regions; and determining an orientation of the text overlapping region is horizontal if the total number of strokes or pixel points in the horizontal text lines is larger than that in the vertical text lines, otherwise, determining the orientation is vertical.

Abstract: An image processing apparatus includes a central-portion extracting unit, a classifying unit and a determining unit. The central-portion extracting unit extracts edges from an image area and extracts a plurality of central portions of areas each of which is sandwiched between the edges. The classifying unit groups the central portions by classifying adjacent central portions that have no edge therebetween into a single group. The determining unit determines an area of finger, the area of finger being surrounded by the central portions classified into a group by the classifying unit and peripheral edges of the central portion, the area of finger being an area where a ratio of a luminance gradient in a short side direction to a luminance gradient in a long side direction is within a predetermined threshold.

Abstract: This method includes: extracting a feature vector for an input character from a reading result of the input character; calculating distances between the feature vector for the input character and vectors including average vectors stored in a system dictionary storing, for each character, the average vector and distribution information, and feature vectors stored in a user dictionary; extracting the top N character codes in an ascending order of the calculated distances; obtaining second distribution information for the character codes, which are included the user dictionary and in the top N character codes; calculating, for each of the top N character codes, a second distance with the feature vector for the input character, by using, for the character codes, which are included in the user dictionary and in the top N character codes, the second distribution information; and identifying a character code whose second distance is shortest.