Abstract: There are provided a printer device, a printing method, and a program that can appropriately output an exposure start signal without requiring a film detection device. A printer device includes a loading chamber into which a film cartridge is to be loaded, an exposure head device that is disposed to face a photosensitive surface of a film discharged from the film cartridge and exposes the film to light, a spreading roller that splits a developer pod of the film to spread a developer to the film, a transport roller that transports the film, and a load measuring device that measures a change in load occurring in a case where the film enters at least the spreading roller or the transport roller.

Abstract: An image processing apparatus includes a first detection unit configured to detect, from an image in which an object including a plurality of parts is captured, first feature points corresponding to the parts of the object, an acquisition unit configured to acquire a reliability indicating a likelihood that a position indicated by a feature point is a part corresponding to the feature point for each of the first feature points detected by the first detection unit, a second detection unit configured to detect a second feature point based on some of the first feature points for a part corresponding to a first feature point with the low reliability, and a determination unit configured to determine an area including the object based on some of the first feature points and the second feature point.

Abstract: A people flow analysis apparatus includes an acquisition unit configured to acquire positions of persons from each of a plurality of images captured by a plurality of image capturing devices, a counting unit configured to integrate the positions of the persons in each of the plurality of images and count the number of persons on a region-by-region basis, and a display unit configured to display on a map an image expression based on the number of persons counted on the region-by-region basis.

Abstract: A control processing device includes a determining unit that determines whether a write of a transaction is to be executed using a write lock or without using the write lock upon receiving a write command of the transaction, a writing unit that acquires the write lock for the transaction and executes the write of the transaction when the determining unit has determined that the write of the transaction is to be executed using the write lock, an optimizing unit that discards the write command of the transaction when the determining unit has determined that the write of the transaction is to be executed without using the write lock, and a return unit that returns to a command source that the write of the transaction has succeeded after the write by the writing unit or after the discarding of the write command by the optimizing unit.

Abstract: An image processing apparatus includes an image feature extraction unit configured to extract an image feature from an input image, a region extraction unit configured to extract a foreground region from the input image based on the image feature, an acquisition unit configured to acquire correction information based on the image feature, a correction unit configured to correct the foreground region using the correction information, an identification feature extraction unit configured to extract a feature for identification from the foreground region corrected by the correction unit, and an identification unit configured to identify an object in the input image based on the feature for the identification.

Abstract: A system and method of training an appearance signature extractor using a training data set, the training data set including input images associated with a plurality of domains. The method comprises inputting an input image of the training data set, an identity label, and a domain label to the appearance signature extractor, the identity label providing identity information of the input image, and the domain label providing domain information of the input image, the domain information corresponding to one of the domains; determining an appearance signature from the input image using the appearance signature extractor; determining an identity score from the appearance signature; determining a loss value between the identity score and the identity label according to the domain label, wherein the loss value relates to an error between the identity score and the identity label; and updating the appearance signature extractor using the determined loss value.

Abstract: A control processing device includes a determining unit that determines whether a write of a transaction is to be executed using a write lock or without using the write lock upon receiving a write command of the transaction, a writing unit that acquires the write lock for the transaction and executes the write of the transaction when the determining unit has determined that the write of the transaction is to be executed using the write lock, an optimizing unit that discards the write command of the transaction when the determining unit has determined that the write of the transaction is to be executed without using the write lock, and a return unit that returns to a command source that the write of the transaction has succeeded after the write by the writing unit or after the discarding of the write command by the optimizing unit.

Abstract: An encoder signal processing device, a printer, a printer-equipped imaging apparatus, and an encoder signal processing method that can remove the effect of a noise signal mixed with an encoder signal and favorably deal with a case where an original pulse signal is lost from the encoder signal are provided. An effective detection period setting unit 523 sets an effective detection period for detecting a subsequent pulse signal, each time a pulse signal detection unit 522 detects a pulse signal from an encoder signal. The pulse signal detection unit 522 detects the pulse signal only within the set effective detection period. In a case where the pulse signal detection unit 522 does not detect the pulse signal within the effective detection period, a pulse signal generation unit 524 generates the pulse signal after the effective detection period.

Abstract: An information processing apparatus includes an acquiring unit to acquire an input image including an object, an extraction unit to extract a region that has been changed from a background image in the input image, as a changing region, a generating unit to generate a change region image in which a pixel value of each pixel represents whether or not a corresponding pixel in the input image belongs to the changing region, an extraction unit to extract a plurality of feature images from the input image as an output of a neural network by inputting a combination of the input image and the change region image to the neural network, and a detection unit to detect a position of the object from the plurality of feature images.

Abstract: A pulse signal is detected from an encoder signal of a rotary encoder. The detected pulse signal is used as a signal for controlling a light exposure timing of a line type light exposure head and is used for detecting a transport speed of an instant film. The light exposure head sequentially performs light exposure for a line image on the transported instant film in synchronization with each pulse signal detected from the encoder signal, and a density correction unit corrects an amount of light emission of the light exposure head depending on the transport speed of the instant film.

Abstract: A system and method of training an appearance signature extractor using a training data set, the training data set including input images associated with a plurality of domains. The method comprises inputting an input image of the training data set, an identity label, and a domain label to the appearance signature extractor, the identity label providing identity information of the input image, and the domain label providing domain information of the input image, the domain information corresponding to one of the domains; determining an appearance signature from the input image using the appearance signature extractor; determining an identity score from the appearance signature; determining a loss value between the identity score and the identity label according to the domain label, wherein the loss value relates to an error between the identity score and the identity label; and updating the appearance signature extractor using the determined loss value.

Abstract: The present disclosure provides a system of analysing an object in an image. The system comprises a processor and a memory in communication with the processor. The memory has application programs that are executable by the processor, wherein the processor executes the application programs to perform a method of analysing the object in the image. The method comprises the steps of determining an image tensor of the image; determining context information of the image; determining a context tensor of the determined context information; combining the image tensor and the context tensor to form a combined tensor; and estimating an attribute of the object based on the combined tensor.

Abstract: An image processing apparatus includes an acquiring unit configured to acquire multiple tracking results about an object tracked in multiple video images captured by multiple imaging units. The tracking results correspond one-to-one to the video images. Each of the tracking results contains a position of the object detected from an image frame of the corresponding video image and a tracking label that identifies the object in the video image. The apparatus further includes a relating unit configured to relate objects, detected from image frames of the video images, based on the tracking results acquired by the acquiring unit to obtain relations and an object label generating unit configured to generate an object label based on the relations obtained by the relating unit. The object label uniquely identifies the object across the video images.

Abstract: The present disclosure provides a system of analysing an object in an image. The system comprises a processor and a memory in communication with the processor. The memory has application programs that are executable by the processor, wherein the processor executes the application programs to perform a method of analysing the object in the image. The method comprises the steps of determining an image tensor of the image; determining context information of the image; determining a context tensor of the determined context information; combining the image tensor and the context tensor to form a combined tensor; and estimating an attribute of the object based on the combined tensor.

Abstract: An image processing apparatus includes a detection unit configured to detect positions of an index of which an arrangement is sequentially changed from respective images captured by two imaging devices, a calibration unit configured to calibrate a position of at least one of the two imaging devices based on the positions of the index arranged at an identical position detected from the respective images captured by the two imaging devices, a determination unit configured to determine a candidate position where the index is to be newly arranged based on the positions where the index has already been detected, and a presentation unit configured to present the candidate position.

Abstract: A people flow analysis apparatus includes an acquisition unit configured to acquire positions of persons from each of a plurality of images captured by a plurality of image capturing devices, a counting unit configured to integrate the positions of the persons in each of the plurality of images and count the number of persons on a region-by-region basis, and a display unit configured to display on a map an image expression based on the number of persons counted on the region-by-region basis.

Abstract: An image processing apparatus includes an image feature extraction unit configured to extract an image feature from an input image, a region extraction unit configured to extract a foreground region from the input image based on the image feature, an acquisition unit configured to acquire correction information based on the image feature, a correction unit configured to correct the foreground region using the correction information, an identification feature extraction unit configured to extract a feature for identification from the foreground region corrected by the correction unit, and an identification unit configured to identify an object in the input image based on the feature for the identification.

Abstract: An information processing apparatus acquires an input image including an object, extracts, from the input image, a change region image which is an image of a changing region by using a background image, extracts a plurality of feature images by combining the input image and the change region image and using a convolutional neural network, and detects a position of the object from the plurality of feature images.

Abstract: An encoder signal processing device, a printer, a printer-equipped imaging apparatus, and an encoder signal processing method that can remove the effect of a noise signal mixed with an encoder signal and favorably deal with a case where an original pulse signal is lost from the encoder signal are provided. An effective detection period setting unit 523 sets an effective detection period for detecting a subsequent pulse signal, each time a pulse signal detection unit 522 detects a pulse signal from an encoder signal. The pulse signal detection unit 522 detects the pulse signal only within the set effective detection period. In a case where the pulse signal detection unit 522 does not detect the pulse signal within the effective detection period, a pulse signal generation unit 524 generates the pulse signal after the effective detection period.

Abstract: A feature amount, and context information representing a context regarding an image are obtained from the image. The first likelihood indicating the likelihood at which the image is an image of a specific object is obtained from the feature amount. The second likelihood indicating the likelihood at which the image is an image of the specific object is obtained from the context information. Whether the image is an image of the specific object is identified using the first likelihood and the second likelihood.