There is provided a computer implemented method of extracting information about a person. Incoming sensor signals for monitoring people within a field of view of a sensor system are received and processed. In response to detecting a person located within a notification region, an output device outputs a notification to the detected person. Processing of the incoming sensor signals continues in order to monitor behaviour patterns of the person and determine from his behaviour patterns whether he is currently in a consenting or non-consenting state. An extraction function attempts to extract information about the person irrespective of his determined state. A sharing function determines whether or not to share an extracted piece of information about the person with a receiving entity in accordance with his determined state, the information not being shared unless and until it is subsequently determined that the person is in the consenting state.

There is provided a computer implemented method of extracting information about a person. Incoming sensor signals for monitoring people within a field of view of a sensor system are received and processed. In response to detecting a person located within a notification region, an output device outputs a notification to the detected person. Processing of the incoming sensor signals continues in order to monitor behaviour patterns of the person and determine from his behaviour patterns whether he is currently in a consenting or non-consenting state. An extraction function attempts to extract information about the person irrespective of his determined state. A sharing function determines whether or not to share an extracted piece of information about the person with a receiving entity in accordance with his determined state, the information not being shared unless and until it is subsequently determined that the person is in the consenting state.

An information processing device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations includes: selecting a base image from a base data set that is a set of images including a target region that includes an object that is a target of machine learning and a background region that does not include an object that is a target of the machine learning; generating a processing target image that is a duplicate of the selected base image; selecting the target region included in another image included in the base data set; synthesizing an image of the selected target region with the processing target image; and generating a data set that is a set of the processing target images in which a predetermined number of the target regions are synthesized.

An information processing device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations includes: selecting a base image from a base data set that is a set of images including a target region that includes an object that is a target of machine learning and a background region that does not include an object that is a target of the machine learning; generating a processing target image that is a duplicate of the selected base image; selecting the target region included in another image included in the base data set; synthesizing an image of the selected target region with the processing target image; and generating a data set that is a set of the processing target images in which a predetermined number of the target regions are synthesized.

An information processing device that includes a control unit configured to track an object in an image using images input in time series, using a tracking result obtained by performing tracking in units of a tracking region corresponding to a specific part of the object.

An information processing device that includes a control unit configured to track an object in an image using images input in time series, using a tracking result obtained by performing tracking in units of a tracking region corresponding to a specific part of the object.

An information processing device includes: a mesh setting unit that sets a plurality of mesh zones in a captured image including a scattering range of a substance scattered during machining by a machine tool; an accepting unit that accepts a selection of one or more mesh zones corresponding to an area for removing the substance from the plurality of mesh zones; a substance recognition unit that recognizes a substance state in the mesh zones corresponding to the area with respect to the captured image; and a display instruction unit that instructs display of indicators based on the substance state recognized in the area in time series.

An information processing device includes: a mesh setting unit that sets a plurality of mesh zones in a captured image including a scattering range of a substance scattered during machining by a machine tool; an accepting unit that accepts a selection of one or more mesh zones corresponding to an area for removing the substance from the plurality of mesh zones; a substance recognition unit that recognizes a substance state in the mesh zones corresponding to the area with respect to the captured image; and a display instruction unit that instructs display of indicators based on the substance state recognized in the area in time series.

A method of analyzing thoracic insufficiency syndrome (TIS) in a subject by performing quantitative dynamic magnetic resonance imaging (QdMRI) analysis. The QdMRI analysis includes performing four-dimensional (4D) image construction of a TIS subject's thoracic cavity. The 4D image includes a sequence of two dimensional (2D) images of the TIS subject's thoracic cavity over a respiratory cycle of the TIS subject. The QdMRI analysis also includes segmenting a region of interest (ROI) within the 4D image, determining TIS measurements within the ROI, comparing the TIS measurements to normal measurements determined from ROIs in 4D images of the thoracic cavities of normal subjects that are not afflicted by TIS, and outputting quantitative markers indicating deviation of the thoracic cavity of the TIS subject relative to the thoracic cavities of the normal subjects.

A method of analyzing thoracic insufficiency syndrome (TIS) in a subject by performing quantitative dynamic magnetic resonance imaging (QdMRI) analysis. The QdMRI analysis includes performing four-dimensional (4D) image construction of a TIS subject's thoracic cavity. The 4D image includes a sequence of two dimensional (2D) images of the TIS subject's thoracic cavity over a respiratory cycle of the TIS subject. The QdMRI analysis also includes segmenting a region of interest (ROI) within the 4D image, determining TIS measurements within the ROI, comparing the TIS measurements to normal measurements determined from ROIs in 4D images of the thoracic cavities of normal subjects that are not afflicted by TIS, and outputting quantitative markers indicating deviation of the thoracic cavity of the TIS subject relative to the thoracic cavities of the normal subjects.