Abstract: An image capturing system configured to perform subject detection based on a neural network includes a teacher data input means, a network structure specification means, a dictionary generation means, and an image capturing device. The teacher data input means is configured to input teacher data for the subject detection. The network structure specification means is configured to specify a constraint on the network structure for the subject detection. The dictionary generation means is configured to generate dictionary data for the subject detection based on the teacher data and the constraint on the network structure. The image capturing device is configured to perform the subject detection based on the dictionary data generated by the dictionary generation means and perform predetermined image capturing control on a subject detected by performing the subject detection. The dictionary data includes, as header information, information regarding a count of teacher data used to generate the dictionary data.

Abstract: An apparatus includes an acquisition unit configured to acquire captured data, a first detection unit configured to detect a first area of an object from the data, a second detection unit configured to detect a second area of the object from the data, and an output unit configured to output a result of detection by the first detection unit and a result of detection by the second detection unit, wherein, in a case where the first detection unit detects the first area in first data, the second detection unit detects the second area in an area corresponding to the first area.

Abstract: An imaging system that performs object detection on the basis of a neural network includes: training data inputting unit configured to input training data for the object detection; network structure designation unit configured to designate a restriction of a network structure in the object detection; dictionary generation unit configured to generate dictionary data for the object detection on the basis of the training data and the restriction of the network structure; and an imaging device configured to perform the object detection on the basis of the dictionary data generated by the dictionary generation unit and performs predetermined imaging control on an object detected through the object detection.

Abstract: An image processing apparatus comprises an acquisition unit that acquires image data, an estimation unit that detects a predetermined subject from the image data and estimates posture information of the detected subject, and a determination unit that, in a case where a plurality of subjects are detected by the estimation unit, determines a main subject from the plurality of subject using feature vector of each of the subjects obtained from the posture information.

Abstract: An image processing apparatus acquires image data, detects a first area of a subject from image data, detects a second area of a subject from image data, and tracks the subject, wherein, when the first area is being detected from first image data, detection of the second area is performed in an area corresponding to the first area, and, in a case where the first area is detected in the first image data and the first area is not detected in second image data captured after the first image data, detection of the second area is performed in an area broader than the first area detected in the first image data, and wherein tracking of the subject is performed with use of at least one of detection results obtained in the first area and the second area.

Abstract: An electronic apparatus suppressed in occurrence of lowering of focus adjustment accuracy in a case where an occlusion area exists in an object area. An image is acquired which is captured using an image capturing device including a plurality of photoelectric converters to which are incident light fluxes via exit pupils of an image capturing optical system pupil-divided in first and second directions. An object and occlusion areas of the object are detected from the image. Focus adjustment is controlled based on phase difference information, according to a direction of distribution of the occlusion areas.

Abstract: An image processing apparatus comprises an acquisition unit that acquires image data, an estimation unit that detects a predetermined subject from the image data and estimates posture information of the detected subject, and a determination unit that, in a case where a plurality of subjects are detected by the estimation unit, determines a main subject from the plurality of subject using feature vector of each of the subjects obtained from the posture information.

Abstract: An image processing apparatus comprises an acquisition unit that acquires image data, an estimation unit that detects a predetermined subject from the image data and estimates posture information of the detected subject, and a determination unit that, in a case where a plurality of subjects are detected by the estimation unit, determines a main subject from the plurality of subject using feature vector of each of the subjects obtained from the posture information.

Abstract: An apparatus includes an acquisition unit configured to acquire captured data, a first detection unit configured to detect a first area of an object from the data, a second detection unit configured to detect a second area of the object from the data, and an output unit configured to output a result of detection by the first detection unit and a result of detection by the second detection unit, wherein, in a case where the first detection unit detects the first area in first data, the second detection unit detects the second area in an area corresponding to the first area.

Abstract: An electronic apparatus suppressed in occurrence of lowering of focus adjustment accuracy in a case where an occlusion area exists in an object area. An image is acquired which is captured using an image capturing device including a plurality of photoelectric converters to which are incident light fluxes via exit pupils of an image capturing optical system pupil-divided in first and second directions. An object and occlusion areas of the object are detected from the image Focus adjustment is controlled based on phase difference information, to according to a direction of distribution of the occlusion areas.

Abstract: An information processing apparatus includes an acquisition unit that acquires a designated color which is designated as a color, which is converted into a specific color, of a pixel among pixels which express an image, a determination unit that determines whether or not a common color area, which is expressed by pixels in a common hue range, expresses prescribed information in the image, and a conversion unit that performs a first conversion process of converting a pixel corresponding to the acquired designated color into a specific color in the common color area which is determined to express the information, and performs a second conversion process of converting a pixel corresponding to a color in a wider hue range than the designated color into a specific color in the common color area which is determined to not express the information.

Abstract: An information processing apparatus includes a recognition unit that recognizes an object which is included in an image and is expressed using a single color, and a conversion unit that performs conversion on a pixel, which is included in the image and corresponds to a designated color, into a specific color, and, in a case where a color of an area, which is in contact with an outer edge of the recognized object, is designated and a difference between the color of the recognized object and the specific color is smaller than a first reference, performs conversion on a pixel of the outer edge into a color other than the specific color.

Abstract: An image forming apparatus includes a memory, and a processor configured to: read a first image of a sheet in a state in which the sheet is held on a sheet holding unit, the sheet being a sheet on which an image has been formed; detect a symbol from the first image of the sheet which has been read, the symbol indicating an orientation of the first image; and, when the orientation of the first image indicated by the detected symbol is different from an orientation of a second image that is to be formed on the sheet, perform a correction process of matching the orientation of the first image with the orientation of the second image that is to be formed on the sheet, the orientation of the first image being indicated by the detected symbol.

Abstract: An image forming apparatus includes a memory and a processor configured to output an image formed based on image data including predetermined specific text after replacing a color of one or more portions in the image data with a special color that is in advance associated with the specific text, the one or more portions being assigned a color identical or similar to a color of the specific text to form the image.

Abstract: An image forming apparatus includes a memory and a processor configured to output an image formed based on image data including predetermined specific text after replacing a color of one or more portions in the image data with a special color that is in advance associated with the specific text, the one or more portions being assigned a color identical or similar to a color of the specific text to form the image.

Abstract: An information processing apparatus includes a detector, a receiver, and an image processor. The detector is configured to detect a punch hole candidate partial image having a punch hole accuracy indicating whether the punch hole candidate partial image is a punch hole image is less than a first threshold value and equal to or greater than a second threshold value smaller than the first threshold value, from plural partial images constituting a read image of a document. The receiver is configured to display the punch hole candidate partial image, and receive an instruction from a user as to whether to perform image processing on the punch hole candidate partial image. The image processor is configured to perform the image processing on the punch hole candidate partial image when the receiver receives an instruction to perform the image processing on the punch hole candidate partial image.

Abstract: An image forming apparatus includes a memory, and a processor configured to: read a first image of a sheet in a state in which the sheet is held on a sheet holding unit, the sheet being a sheet on which an image has been formed; detect a symbol from the first image of the sheet which has been read, the symbol indicating an orientation of the first image; and, when the orientation of the first image indicated by the detected symbol is different from an orientation of a second image that is to be formed on the sheet, perform a correction process of matching the orientation of the first image with the orientation of the second image that is to be formed on the sheet, the orientation of the first image being indicated by the detected symbol.

Abstract: An image processing apparatus comprises a detection circuit that, by referencing dictionary data acquired by machine learning corresponding to a target photographic subject to be detected in an obtained image, detects the target photographic subject; a selection unit that selects one of a plurality of dictionary data items corresponding to the target photographic subject; and a control circuit that, in a case where a detection evaluation value in a case where the photographic subject is detected by using the dictionary data selected by the selection unit is lower than a predetermined value, controls the detection circuit to detect the target photographic subject by using the selected dictionary data and dictionary data different to the selected dictionary data.

Abstract: A disclosed image processing apparatus calculates a background vector expressing a motion of a background based on a plurality of motion vectors detected between a plurality of images. Then the image processing apparatus detects a motion vector of a moving object from the plurality of motion vectors, based on a magnitude of Euclidean distance between each of the plurality of motion vectors and the background vector.

Abstract: An image processing apparatus comprises an acquisition unit that acquires image data, an estimation unit that detects a predetermined subject from the image data and estimates posture information of the detected subject, and a determination unit that, in a case where a plurality of subjects are detected by the estimation unit, determines a main subject from the plurality of subject using feature vector of each of the subjects obtained from the posture information.