Face detection method and server

A computer readable non-transitory storage medium on which a face detection program executed by a server communicably connected to a camera is stored, the face detection program causing the server to execute a process including:

• acquiring a captured video captured by the camera;
• detecting a face of one or more persons based on the captured video;
• generating one or more face cut-out images by cutting out a region of the detected face;
• determining whether the detected face corresponds to a first detection condition or a second detection condition based on at least one detection item, the detection item not including a detection period or a number of times of detection;
• determining, in response to the detected face corresponding to the first detection condition, whether a person who is same as or similar to a person in the face cut-out image is stored in a first database, and;
• counting a first number of detection times that the person who is the same as or similar to the person in the face cut-out image and stored in the first database is detected in a predetermined detection period;
• and storing the detected face in the first database in association with the first number of detection times, with each of detected faces being stored in the first database in association with a corresponding one of first numbers of detection times in response to the detected faces corresponding to the first detection condition;
• determining, in response to the detected face corresponding to the second detection condition, whether the person who is the same as or similar to the person in the face cut-out image is stored in a second database, and:
• counting a second number of detection times that the person who is the same as or similar to the person in the face cut-out image and stored in the second database is detected in the predetermined detection period;
• and storing the detected face in the second database in association with the second number of detection times, with each of detected faces being stored in the second database in association with a corresponding one of second numbers of detection times in response to the detected faces corresponding to the second detection condition;
• determining a category of the person based on one of the first number of detection times or the second number of detection times;
• and
• outputting the face cut-out image corresponding to the person, the one of the number of first detection times or the second number of detection times corresponding to the person, and the category corresponding to the person in association,
• wherein the process further includes:
• registering persons in the first database based on face cut-out images from captured images, the persons registered in the first database being suspicious persons;
• and
• registering persons in the second database based on printed images of the persons, the persons registered in the second database being registered customers.

A server communicably connected to a camera, the server comprising:

• an interface that acquires a captured video captured by the camera;
• a processor that
• detects a face of one or more persons based on the captured video acquired by the interface,
• generates one or more face cut-out images by cutting out a region of the detected face,
• determines whether the detected face corresponds to a first detection condition or a second detection condition based on at least one detection item, the detection item not including a detection period or a number of times of detection,
• determines, in response to the detected face corresponding to the first detection condition, whether a person who is same as or similar to a person in the face cut-out image is stored in a first database, and;
• counts a first number of detection times that the person who is the same as or similar to the person in the face cut-out image and stored in the first database is detected in a predetermined detection period;
• and stores the detected face in the first database in association with the first number of detection times, with each of detected faces being stored in the first database in association with a corresponding one of first numbers of detection times in response to the detected faces corresponding to the first detection condition,
• determines, in response to the detected face corresponding to the second detection condition, whether the person who is the same as or similar to the person in the face cut-out image is stored in a second database, and;
• counts a second number of detection times that the person who is the same as or similar to the person in the face cut-out image and stored in the second database is detected in the predetermined detection period;
• and stores the detected face in the second database in association with the second number of detection times, with each of detected faces being stored in the second database in association with a corresponding one of second numbers of detection times in response to the detected faces corresponding to the second detection condition, and
• determines a category of the person based on one of the first number of detection times or the second number of detection times;
• and
• an output that outputs the face cut-out image corresponding to the person, the one of the first number of detection times or the second number of detection times corresponding to the person, and the category corresponding to the person in association,
• wherein the processor further:
• registers persons in the first database based on face cut-out images from captured images, the persons registered in the first database being suspicious persons;
• and
• registers persons in the second database based on printed images of the persons, the persons registered in the second database being registered customers.