Abstract: Provided is a system which enables a business operator that operates a physical store to identify each customer and acquire related store use information, without any need for management of customers' face images at each store. A store use information distribution device includes a processor and an action history storage for storing action history information about customers' actions in the store. The processor is configured to: acquire face images of customers; generate face image IDs for identifying the face images of the customers; transmit the IDs to a business operator device; perform a customer segmentation operation on action history information based on segmentation criteria related to customers' store usage, to thereby assign the customers to segments; and transmit a set of face IDs of customers assigned to certain segments to the business operator device as the store use information.

Abstract: Learned model providing system has a configuration including consent acquisition device that acquires use consent that an acquired image of visitor is to be used for generating a learned model from visitor, a plurality of cameras that image visitor, learned model generating device that generates the learned model by machine learning based on a captured image imaged by camera, server device that saves the learned model generated by learned model generating device, user side device that receives the learned model from server device, camera, and member database.

Abstract: A method for selectively providing a learned model using a learned model providing device includes saving various learned models and model information associated with a generation environment in a database of the learned model providing device. The generation environment indicates an environment where sensing data used for generating each of the learned models is sensed. The method further includes acquiring needs information associated with a use environment of a user side device, and selecting one of the learned model suitable for the needs information by referring to the model information by a processor of the learned model providing device.

Abstract: Learned model providing system is configured of learned model providing device in which a plurality of learned models are saved in advance and user side device that receive the learned model from learned model providing device. Since learned model providing device can select a learned model to be provided to user side device from the plurality of learned models saved in learned model database based on needs information acquired from user side device, it is possible to select the learned model suitable for the user side needs.

Abstract: Learned model providing system is configured of learned model providing device in which a plurality of learned models are saved in advance and user side device that receives the learned model from learned model providing device. Learned model providing device can select the learned model to be provided from a plurality of learned models saved in learned model database to user side device based on the performance calculated using test data acquired from user side device. Accordingly, it is possible to select and provide the learned model optimal for use by user side device from the plurality of learned models saved in database in advance.

Abstract: Learned model providing system has a configuration including consent acquisition device that acquires use consent that an acquired image of visitor is to be used for generating a learned model from visitor, a plurality of cameras that image visitor, learned model generating device that generates the learned model by machine learning based on a captured image imaged by camera, server device that saves the learned model generated by learned model generating device, user side device that receives the learned model from server device, camera, and member database.

Abstract: Out-of-stock commodity is flexibly managed according to a change in shelf assignment. Each of sensor units (101-1 to 101-N) is configured by at least one pressure sensor and outputs an analog signal corresponding to a weight of a commodity detected by at least one pressure sensor. Sensor output unit (103) converts an analog signal output from each of a plurality of sensor units into a digital signal indicating whether or not the number of commodities in regions where respective sensor units are installed is equal to or less than a predetermined number. Combination setter (104) sets one or more groups obtained by grouping a plurality of sensor units. Output integrator (105) integrates a digital signal for each group. Out-of-stock commodity manager (106) manages an out-of-stock commodity state of commodities in each group, based on an integrated digital signal.

Abstract: An image pickup device transmits to a server a transmission sample including a detection image detected by a first detection section from a transmitting/receiving section under the control of a transmission sample control section. The server performs detection processing that requires more resources than those of the first detection section on the detection image transmitted by a second detection section from the image pickup device, and determines whether or not the detection image in question is spurious, based on a second detection score which is thereby obtained. A transmission frequency deciding section generates transmission frequency control information such as to raise the transmission frequency by an image pickup device that has a high frequency of spurious detection; a transmitting/receiving section transmits the transmission frequency control information to the image pickup device.

Abstract: Each camera comprises an image generation unit for generating an image by capturing the image, a moving object detection unit for detecting a moving object from the image and transmitting information on the position of the moving object to the server, and an image transmission unit for, when the camera is selected by the server, transmitting an image. The server comprises an image delivery camera selection unit for selecting some cameras as image delivery cameras from among the cameras based on the information on the position of the moving object transmitted from each of the cameras, an image delivery camera notification unit for notifying the selection result to the cameras, and an image input unit for inputting the images transmitted from the image delivery cameras.

Abstract: A panoramic image display device divides a panoramic expansion image into at least two panoramic images and displays the panoramic images. The panoramic expansion image display device including: a clipping reference position setting unit that sets a clipping reference position for the panoramic expansion image; an object detection unit that detects an object as a display target from the panoramic expansion image; a clipping position determination unit that determines a clipping position of the panoramic image according to a relationship between a detected object position and the clipping reference position; and a display image generation unit that displays the panoramic image clipped from the panoramic expansion image at the clipping position.

Abstract: A people counting device includes: a person presence region extraction unit which extracts a region in which a person is present by performing person detection in relation to an input image; a person presence state estimation unit which estimates a person presence state from an extraction result; a portion detector selection unit which selects a type of portion detector to be used for people count measurement based on the estimation result, and outputs portion detector information. The people counting device further includes: a portion detection process unit which performs a portion detection process for detecting a portion of a person based on the portion detector information; and a people counting unit which obtains a number of people within the input image from a portion detection process result.

Abstract: An image pickup device transmits to a server a transmission sample including a detection image detected by a first detection section from a transmitting/receiving section under the control of a transmission sample control section. The server performs detection processing that requires more resources than those of the first detection section on the detection image transmitted by a second detection section from the image pickup device, and determines whether or not the detection image in question is spurious, based on a second detection score which is thereby obtained. A transmission frequency deciding section generates transmission frequency control information such as to raise the transmission frequency by an image pickup device that has a high frequency of spurious detection; a transmitting/receiving section transmits the transmission frequency control information to the image pickup device.

Abstract: An image display device is configured to cut out and display a moving object within an omnidirectional image. The image display device includes: a moving object position acquisition unit configured to acquire a position of the moving object within the omnidirectional image; a determination unit configured to determine whether to correct an upward direction of a cutout image; a parameter correction unit configured to correct a cutout parameter when the determination unit determines to correct the upward direction of the cutout image; a cutout unit configured to cut images including the moving object out of the omnidirectional image based on the cutout parameter corrected by the parameter correction unit; and a display unit configured to display the images including the moving object, which are cut out by the cutout unit.

Abstract: An omnidirectional image processing apparatus enables the visibility of a specified monitoring object in an omnidirectional image to be improved while maintaining the continuity of that omnidirectional image. The omnidirectional image processing apparatus performs image processing on an omnidirectional image, and has a monitoring object specification section that specifies a monitoring object photographed in the omnidirectional image. The omnidirectional image processing apparatus also has an image rotating section that rotates the omnidirectional image so that the position of a specified monitoring object becomes upper-central, and a center position moving section that moves the center position of the omnidirectional image rotated by the image rotating section downward by means of warping processing.

Abstract: A reliability extracting section extracts the reliability of positioning at a person's position calculator on the basis of an image captured from an imaging section. A section that creates a possibly-existing area determines a possibly-existing area on the basis of the result of positioning obtained by the person's position calculator and reliability (precision of positioning) obtained by the reliability extracting section. An entry determining section determines entering and/or leaving to/from a targeted monitored area on the basis of the overlapping of the possibly-existing area with the monitored area.

Abstract: An image processing device comprises a region dividing unit which divides a captured image obtained by a camera unit into a plurality of regions, and an image compressing unit which compresses each of region images obtained by the division by the region dividing unit while changing the compression rate according to the distance from a predetermined point in the captured image to each of the region images and the distance from the camera unit to a target included in each of the regions. For example, the image compressing unit compresses the region image having a larger angle from the optical axis at a larger compression rate, thereby achieving compression in which the amount of data in low-quality regions is greatly reduced and the quality of high-quality regions is maintained.

Abstract: Each camera comprises an image generation unit for generating an image by capturing the image, a moving object detection unit for detecting a moving object from the image and transmitting information on the position of the moving object to the server, and an image transmission unit for, when the camera is selected by the server, transmitting an image. The server comprises an image delivery camera selection unit for selecting some cameras as image delivery cameras from among the cameras based on the information on the position of the moving object transmitted from each of the cameras, an image delivery camera notification unit for notifying the selection result to the cameras, and an image input unit for inputting the images transmitted from the image delivery cameras.

Abstract: A people counting device includes: a person presence region extraction unit which extracts a region in which a person is present by performing person detection in relation to an input image; a person presence state estimation unit which estimates a person presence state from an extraction result; a portion detector selection unit which selects a type of portion detector to be used for people count measurement based on the estimation result, and outputs portion detector information. The people counting device further includes: a portion detection process unit which performs a portion detection process for detecting a portion of a person based on the portion detector information; and a people counting unit which obtains a number of people within the input image from a portion detection process result.

Abstract: Disclosed is a target detection device which can match a moving object in a captured image to an identifier when a plurality of identifiers began to be received in a short time, or when the number of identifiers received was larger than the number of detected position histories. The device (100) comprises: a feature information extraction unit (103) which extracts the feature information of at least one moving object imaged in a captured image, a read unit (104) which reads the identifier of the wireless terminal held by the moving object, a history controller (105) which links and saves the feature information and the identifier at each time, and a matching unit (106) which matches the feature information and an identifier stored in the history controller (105) based on the degree of similarity with the feature information stored in the history controller (105) and the links between the feature information and the identifier.

Abstract: A panoramic image display device divides a panoramic expansion image into at least two panoramic images and displays the panoramic images. The panoramic expansion image display device including: a clipping reference position setting unit that sets a clipping reference position for the panoramic expansion image; an object detection unit that detects an object as a display target from the panoramic expansion image; a clipping position determination unit that determines a clipping position of the panoramic image according to a relationship between a detected object position and the clipping reference position; and a display image generation unit that displays the panoramic image clipped from the panoramic expansion image at the clipping position.