Fujitsu Corporation

Shun Kohata

Hiroyuki Higuchi

A non-transitory computer-readable recording medium stores a machine learning program for causing a computer to execute processing including: inputting learning data related to a plurality of persons to a first machine learning model, and executing machine learning of the first machine learning model so as to identify a person; extracting a part of layers of the first machine learning model generated by the machine learning; generating a new second machine learning model by using the extracted part of the layers; and inputting a plurality of pieces of learning data related to a predetermined person to the second machine learning model, and executing machine learning of the second machine learning model so as to identify whether or not the person is the same person as the person included in each of the plurality of pieces of learning data.

Computer-readable recording medium storing person identification machine learning program, person identification machine learning method, and information processing apparatus

A non-transitory computer-readable storage medium storing a determination program that causes at least one computer to execute a process, the process includes obtaining a plurality of pair images of a person obtained from a overlapping region of images captured by each of a plurality of cameras; generating a directed graph including nodes corresponding to person features obtained from each of a plurality of person images included in the plurality of obtained pair images; acquiring weights of links between the nodes in the generated directed graph based on a number of person images with similar person features between the nodes; and determining a combination of the person features in which a number of the person images with the similar person features in the plurality of pair images is maximized based on the acquired weights of the links.

Storage medium, determination method, and information processing apparatus

A non-transitory computer-readable recording medium stores a determination program for causing a computer to execute processing including: acquiring a plurality of pieces of image data captured by each of a plurality of cameras; specifying a position of a person included in each of the plurality of pieces of image data by a first index different for each of the plurality of cameras; specifying the position of the person specified by the first index by a second index common to the plurality of cameras; and determining whether the person included in each of the plurality of pieces of image data is the same person on the basis of the specified position of the person that uses the second index.

Computer-readable recording medium storing person identification determination program, person identification determination method, and information processing apparatus

A recording medium stores a program for causing a computer to execute processing including acquiring a captured image and a depth image that represents a distance from an imaging position, identifying a road region and another region in contact with the road region from the captured image, calculating a change in a depth of a first region that corresponds to the road region and a change in a depth of a second region that corresponds to the another region included in the depth image, determining whether or not the another region is a detection target based on the change in the depth of the first region and the change in the depth of the second region, and identifying a position of a subject included in the another region based on the depth of the second region and the imaging position when the another region is the detection target.

Computer-readable recording medium storing position identification program, position identification method, and information processing apparatus

A non-transitory computer-readable recording medium storing a display control program for causing a computer to execute processing, the processing including: determining priorities of a plurality of facilities positioned within a specific area according to a value related to congestion determined on the basis of the upper limit number of people in each of the plurality of facilities and the number of visitors calculated on the basis of an image captured in each of the plurality of facilities; selecting a specific number of facilities from the plurality of facilities on the basis of the determined priorities; and displaying, for each of the specific number of selected facilities, a position on a map and alert information according to the value related to the congestion.

Growing community of inventors

Setagaya, Japan

Shun Kohata