IMAGE CAPTURING SYSTEM, IMAGE CAPTURING DEVICE, INFORMATION PROCESSING SERVER, IMAGE CAPTURING METHOD, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM

IMAGE CAPTURING SYSTEM, IMAGE CAPTURING DEVICE, INFORMATION PROCESSING SERVER, IMAGE CAPTURING METHOD, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: TSUJI, RYOSUKE
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung: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.