Monitoring system, monitoring camera, and management device

1. A monitoring system, comprising:

a plurality of monitoring cameras that capture a plurality of images, respectively, and that are positioned at a plurality of positions, respectively; and

a management device coupled to the plurality of monitoring cameras and including:

a processor configured to:

perform a first check on the plurality of images captured by the plurality of monitoring cameras, respectively, based on first feature information relevant to a first person;

detect that the first feature information is present in a first set of images of the plurality of images;

determine that the first person is present in the first set of images;

identify, using a clustering algorithm, a first set of cameras of the plurality of monitoring cameras that captured the first set of images, respectively, and a first set of positions of the plurality of positions corresponding to the first set of cameras, the first set of positions being clustered in a first high frequency area;

determine a second set of cameras of the plurality of monitoring cameras, outside the first high frequency area, as having captured a second set of images of the plurality of images, respectively, and as having the first feature information mistakenly detected as being present in the second set of images; and

cause a display to display a map including the first set of positions clustered in the first high frequency area and in which the first set of positions are distinctly identified, wherein the second set of cameras are not distinctly identified, wherein the second set of cameras of the plurality of monitoring cameras are different than the first set of cameras; and

a controller configured to:

cause the display to display information associated with the first set of cameras including an identifier of each camera of the first set of cameras.

2. The monitoring system of claim 1 , wherein the processor is configured to, after causing the display to display the map including the first set of positions in the first high frequency area,

perform a second check on a plurality of subsequent images captured by the plurality of monitoring cameras, respectively, based on the first feature information relevant to the first person;

detect that the first feature information is present in a third set of images of the plurality of subsequent images;

determine that the first person is present in the third set of images;

identify a third set of cameras that captured the third set of images, respectively, and a second set of positions of the plurality of positions corresponding to the third set of cameras in a second high frequency area; and

cause the display to display the map including the second set of positions in the second high frequency area.

3. The monitoring system of claim 2 , wherein the first high frequency area is in a first geographic area and the second high frequency area is in a second geographic area, and wherein the processor is configured to track a movement of the first person based on a location of the first geographic area and a location of the second geographic area.

4. The monitoring system of claim 2 , wherein the first set of cameras overlaps with the third set of cameras and the plurality of monitoring cameras include all cameras of the first and third sets of cameras.

5. The monitoring system of claim 2 , wherein the display is configured to display a number of appearances of the first person in the first or third second sets of images, and wherein the processor is configured to determine number of appearances of the first person in the first or third sets of images.

6. A method, comprising:

capturing, by a plurality of monitoring cameras respectively positioned at a plurality of positions, a plurality of images, respectively;

causing, by a processor of a management device coupled to the plurality of monitoring cameras, a display to display a map including a first set of positions clustered in a first high frequency area by at least:

performing a first check on the plurality of images captured by the plurality of monitoring cameras, respectively, based on first feature information relevant to a first person;

detecting that the first feature information is present in a first set of images of the plurality of images;

determining that the first person is present in the first set of images; and

identifying, using a clustering algorithm, a first set of cameras of the plurality of monitoring cameras that captured the first set of images, respectively, and the first set of positions of the plurality of positions corresponding to the first set of cameras, the first set of positions being clustered in the first high frequency area;

determining a second set of cameras of the plurality of monitoring cameras, outside the first high frequency area, as having captured a second set of images of the plurality of images, respectively, and as having the first feature information mistakenly detected as being present in the second set of images, wherein in the map the first set of positions are distinctly identified and the second set of cameras of the plurality of monitoring cameras are not distinctly identified, wherein the second set of cameras of the plurality of monitoring cameras are different than the first set of cameras; and

causing, by a controller of the management device, the display to display information associated with the first set of cameras including an identifier of each camera of the first set of cameras.

7. The method of claim 6 , comprising:

after causing the display to display the map including the first set of positions in the first high frequency area, performing a second check on a plurality of subsequent images captured by the plurality of monitoring cameras, respectively, based on the first feature information relevant to the first person;

detecting that the first feature information is present in a third set of images of the plurality of subsequent images;

determining that the first person is present in the third set of images;

identifying a third set of cameras that captured the third set of images, respectively, and a second set of positions of the plurality of positions corresponding to the third set of cameras in a second high frequency area; and

causing the display to display the map including the second set of positions in the second high frequency area.

8. The method of claim 7 , wherein the first high frequency area is in a first geographic area and the second high frequency area is in a second geographic area, and wherein the method comprises:

tracking a movement of the first person based on a location of the first geographic area and a location of the second geographic area.

9. The method of claim 7 , wherein the first set of cameras overlaps with the third set of cameras and the plurality of monitoring cameras include all cameras of the first and third sets of cameras.

10. The method of claim 7 , comprising:

determining, by the processor, a number of appearances of the first person in the first or third sets of images; and

displaying the number of appearances of the first person in the first or third sets of images.