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: An image processing apparatus is provided including a storage unit for storing relationships of color coordinates between a plurality of reference colors under each of a plurality of different light sources for each light source, with respect to the plurality of reference colors set in a color space and being different from one another; and a calculation unit for detecting color coordinates of the plurality of reference colors from an object image to be processed, and identifying a light source used in capturing of the object image according to a similarity between relationships of the detected color coordinates and the relationships of color coordinates stored in the storage unit for each light source.

Abstract: A reference color selection device includes a determination unit that compares a first and second magnitudes of a first second candidate colors with respect plural wavelengths and determines whether or not there is any wavelength that provides a reverse magnitude relationship between the first and second magnitudes reverse to a magnitude relationship at other wavelengths, the first and second candidate colors being included in a color group of reference colors used in color correction of a target color; and a selection unit that selects the color group as the reference colors when there is not a combination of the first and second candidate colors about which the determination unit determines that there is the wavelength that provides the reverse magnitude relationship in the color group to be the candidates of the reference colors.

Abstract: Embodiments provide an apparatus and method for detecting a color checker in an image including: an extracting unit to extract sliding window features of sliding windows at multiple positions from an input image by using a predefined sliding window; a selecting unit to select, by using multiple predefined sliding window templates, a sliding window having a minimum distance from each sliding window template from the sliding windows at the multiple positions as a matched sliding window of the sliding window template; and a determining unit to determine segmentation lines of colored squares of a color checker in the input image according to a matching result of each sliding window template.

Abstract: A device includes a processor configured to execute a process including extracting a pixel value of each of a plurality of areas of a same color that are arranged at different positions on a color chart that is captured in an image, and specifying by using the extracted pixel values of the areas and arrangement positions of the areas of the same color an area that has a pixel value that corresponds to a function that expresses fluctuation of pixel values according to a position due to non-uniformity of an illumination environment that fluctuates the pixel values at a constant rate in one direction, and correcting a pixel value of a correction target area between the areas of the same color according to the pixel value of the specified area.

Abstract: An information processing apparatus includes: a storage unit that stores a table including information on regions respectively occupied by a plurality of solids whose vertices are defined by a plurality of reference colors that are set in a color space, each of the solids having an evaluation value less than a setting value, the evaluation value decreasing as the length of edges thereof decreases, the solids being arranged such that faces thereof do not cross each other; and a computing unit that specifies a solid containing an input color with use of the table, and performs interpolation processing of the input color with use of the reference colors corresponding to the vertices of the specified solid.

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: 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: According to an aspect of an embodiment, a method of detecting boundary line information contained in image information comprising a plurality of pixels in either one of first and second states, comprising: detecting a first group of pixels in the first state disposed continuously in said image information to determine first line information and detecting a second group of pixels in the first state disposed adjacently with each other and surrounded by pixels in the second state to determine edge information based on the contour of the second group of pixels; and determining the boundary line information on the basis of the information of the relation of relative position of the line information and the edge information and the size of the first and second group of pixels.

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: 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: A document type identifying apparatus includes in advance a database storing therein keywords used as keys that identify document types in association with each document type. The document type identifying apparatus aligns word strings written on a document and generates partial keyword strings for each keyword by using the keywords stored in the database. The partial keyword strings are to be checked for matching with the word strings written on the document. Then, the document type identifying apparatus checks matching of the grouped and aligned word strings with the partial keyword strings and obtains, for each keyword, each number of matched words with the highest matching rates between the grouped word strings that are successfully matched and the partial keyword strings. Then, each number of matched words is used to calculate each evaluation value to determine the document type.