Abstract: A facial image that a user desires to look for from among a plurality of detected facial image displayed in a first facial image display area is clicked, and the clicked facial image is displayed in a third facial image display area. A facial image that is similar to the facial image displayed in the third facial image display area and is suitable for printing is looked for among from the plurality of detected facial image displayed in the first facial image display area, and displayed in a second facial image display area. The user clicks the facial image of the person which the user desires to look for from among the facial images displayed in the second facial image display area. The clicked facial image is displayed in the third facial image display area.

Abstract: A same person determination device, a same person determination method, and a control program of a computer of the same person determination device capable of determining whether persons are the same persons even when there are similar faces are provided. It is determined whether there are a plurality of approximation and non-approximation relationships in which a feature amount of one face of one image approximates to a feature amount of one face of the other image (YES in step 28), and the feature amount of the one face of the one image does not approximate to feature amounts of all other faces other than the one face of the other image (YES in step 29) (step 31). In a case where there are the plurality of approximation and non-approximation relationships, the one face of one image and the one face of the other image are determined to be of the same person.

Abstract: Disclosed are a device for determining a principal facial image in a captured image capable of determining a person participating in a specific event as a principal person among multiple captured images, a control method and a control program therefor, and a recording medium storing the control program. Multiple captured image P1 and the like are grouped by event, and a captured image group G1 and the like are obtained. Face detection is performed on the captured images for each of the captured image group G1 and the like, a facial image F1 and the like are obtained, and a plurality of facial image group FG1 and the like are obtained. In each of the facial image group FG1 and the like, a principal facial image RF1 and the like are obtained. A facial image of a person who participates only in a specific event can be determined as a principal facial image, and an electronic album where the person of the principal facial image is a main character can be generated.

Abstract: A facial image that a user desires to look for from among a plurality of detected facial image displayed in a first facial image display area is clicked, and the clicked facial image is displayed in a third facial image display area. A facial image that is similar to the facial image displayed in the third facial image display area and is suitable for printing is looked for among from the plurality of detected facial image displayed in the first facial image display area, and displayed in a second facial image display area. The user clicks the facial image of the person which the user desires to look for from among the facial images displayed in the second facial image display area. The clicked facial image is displayed in the third facial image display area.

Abstract: A same person determination device, a same person determination method, and a control program of a computer of the same person determination device capable of determining whether persons are the same persons even when there are similar faces are provided. It is determined whether there are a plurality of approximation and non-approximation relationships in which a feature amount of one face of one image approximates to a feature amount of one face of the other image (YES in step 28), and the feature amount of the one face of the one image does not approximate to feature amounts of all other faces other than the one face of the other image (YES in step 29) (step 31). In a case where there are the plurality of approximation and non-approximation relationships, the one face of one image and the one face of the other image are determined to be of the same person.

Abstract: A reactor for sewage treatment includes: an inner layer including a water distribution zone; a middle layer including a biological aerated filter, the biological aerated filter including a wall and a bottom including a water outlet; and an outer layer including an artificial wetland, the artificial wetland including a bottom including a water inlet. The water distribution zone, the biological aerated filter, and the artificial wetland are in the shape of a circle. The sewage is introduced into the water distribution zone via a water inlet pipe. The water distribution zone communicates with the biological aerated filter via a first overflow. The water outlet arranged on the bottom of the biological aerated filter is connected to the water inlet arranged on the bottom of the artificial wetland to allow the biological aerated filter to communicate with the artificial wetland.

Abstract: Disclosed are a device for determining a principal facial image in a captured image capable of determining a person participating in a specific event as a principal person among multiple captured images, a control method and a control program therefor, and a recording medium storing the control program. Multiple captured image P1 and the like are grouped by event, and a captured image group G1 and the like are obtained. Face detection is performed on the captured images for each of the captured image group G1 and the like, a facial image F1 and the like are obtained, and a plurality of facial image group FG1 and the like are obtained. In each of the facial image group FG1 and the like, a principal facial image RF1 and the like are obtained. A facial image of a person who participates only in a specific event can be determined as a principal facial image, and an electronic album where the person of the principal facial image is a main character can be generated.

Abstract: An integrated system for treating and recycling rainwater in a residential community. The residential community includes low-lying land. The integrated system includes a primary channel for receiving and treating initial rainwater, a baffled water treatment pool, and a reservoir. The primary channel includes an external wall and an inner wall. The baffled water treatment pool includes a water inlet which is disposed on the inner wall of the primary channel. The reservoir includes a water inlet, a gravel filter layer, and an overflow wall. The primary channel, the baffled water treatment pool, and the reservoir are disposed in the low-lying land. The primary channel is annular and surrounds the baffled water treatment pool and the reservoir. The overflow wall of the reservoir cuts off the annular primary channel. The baffled water treatment pool and the reservoir are adjacent to each other and are divided by a shared wall.

Abstract: A reactor for sewage treatment including: an inner layer including a water distribution zone; a middle layer including a biological aerated filter, the biological aerated filer including a wall and a bottom including a water outlet; and an outer layer including an artificial wetland, the artificial wetland including a bottom including a water inlet. The water distribution zone, the biological aerated filter, and the artificial wetland are in the shape of a circle. The sewage is introduced into the water distribution zone via a water inlet pipe. The water distribution zone communicates with the biological aerated filter via a first overflow. The water outlet arranged on the bottom of the biological aerated filer is connected to the water inlet arranged on the bottom of the artificial wetland to allow the biological aerated filter to communicate with the artificial wetland.

Abstract: An integrated system for treating and recycling rainwater in a residential community. The residential community includes low-lying land. The integrated system includes a primary channel for receiving and treating initial rainwater, a baffled water treatment pool, and a reservoir. The primary channel includes an external wall and an inner wall. The baffled water treatment pool includes a water inlet which is disposed on the inner wall of the primary channel. The reservoir includes a water inlet, a gravel filter layer, and an overflow wall. The primary channel, the baffled water treatment pool, and the reservoir are disposed in the low-lying land. The primary channel is annular and surrounds the baffled water treatment pool and the reservoir. The overflow wall of the reservoir cuts off the annular primary channel. The baffled water treatment pool and the reservoir are adjacent to each other and are divided by a shared wall.

Abstract: A person tracking method capable of obtaining information representing a correspondence between a shot image and a three-dimensional real space, without actual measurement, thereby enabling lighter processing is provided. The method includes: calculating a statistically average correspondence between a size of person's head and a position representing a height of the head on the shot image, the camera looking down a measured space and taking the measured space; detecting a position and a size of a head on each of measured frame images; calculating, based on positions and sizes of heads on plural past measured frame images and the correspondence, a movement feature quantity representing a possibility that a head on a current measured frame image is of the same person on the past measured frame images; and determining that the head on the current measured frame image is of the same person on the past measured frame images.

Abstract: A person tracking method capable of tracking movements of a person captured by a camera through lighter processing in comparison with tracking processing that employs a Kalman filter or the like is provided. The method includes: detecting a head on each frame image; calculating a feature quantity that features a person whose head is detected on the frame images; calculating a relevance ratio that represents a degree of agreement between a feature quantity on a past frame image and a feature quantity on a current frame image, which belong to each person whose head is detected on the current frame image; and determining that, a head, which is a basis for calculation of a relevance ratio that represents a degree of agreement being a first threshold as well as being a maximum degree of agreement, is a head of the same person as the person having the head.

Abstract: The present invention performs a process of integrating plural pixel evaluation values corresponding to plural evaluation pixels on a circular arc overlapping a circle using a predetermined pixel in interest as its center and calculating an integrated evaluation value to evaluate whether the circular arc is a circular arc corresponding to a similar semicircular shape, for each of plural circular arcs that overlap the circle in overlapping phases which are different from each other, compares plural integrated evaluation values corresponding to the plural circular arcs, and extracts the circular arc with which the integrated evaluation value indicating the most approximation to the similar semicircular shape is associated, from the plural circular arcs.

Abstract: A probability distribution constructing method extracts a subject shape similar to a subject of a specific type repeatedly appearing in various sizes in plural images obtained by repeatedly photographing a field using a fixedly disposed camera, from plurality images, in accordance with a size of the similar subject shape and positional information of the camera on a view angle. Subsequently, the probability distribution constructing method determines the similar subject shape, and calculates an appearance probability distribution of the size of the subject, and detects the subject using the appearance probability distribution.

Abstract: Automatic detection of chin positions is enabled from within digital images regardless of the facing directions of the faces. Faces having skin color are detected from input color images. Reference lines from center positions between eyes and center positions of mouths, which are included in faces are calculated, based on the faces detected by the face detecting section. Data that indicates statistical positional relationships among center positions between eyes, center positions of mouths, and chins therein are obtained. Probabilities that the reference lines calculated by the reference line calculating section include the positions of chins, based on the data that indicates the statistical positional relationships and the reference lines are calculated. Probabilities of skin colored pixels being present on the reference line are calculated. Rates of brightness variations along the reference line are calculated. Positions of chins are calculated based on combinations of the above the results of calculation.

Abstract: A person tracking method capable of tracking movements of a person captured by a camera through lighter processing in comparison with tracking processing that employs a Kalman filter or the like is provided. The method includes: detecting a head on each frame image; calculating a feature quantity that features a person whose head is detected on the frame images; calculating a relevance ratio that represents a degree of agreement between a feature quantity on a past frame image and a feature quantity on a current frame image, which belong to each person whose head is detected on the current frame image; and determining that, a head, which is a basis for calculation of a relevance ratio that represents a degree of agreement being a first threshold as well as being a maximum degree of agreement, is a head of the same person as the person having the head.

Abstract: A person tracking method capable of obtaining information representing a correspondence between a shot image and a three-dimensional real space, without actual measurement, thereby enabling lighter processing is provided. The method includes: calculating a statistically average correspondence between a size of person's head and a position representing a height of the head on the shot image, the camera looking down a measured space and taking the measured space; detecting a position and a size of a head on each of measured frame images; calculating, based on positions and sizes of heads on plural past measured frame images and the correspondence, a movement feature quantity representing a possibility that a head on a current measured frame image is of the same person on the past measured frame images; and determining that the head on the current measured frame image is of the same person on the past measured frame images.

Abstract: The present invention performs a process of integrating plural pixel evaluation values corresponding to plural evaluation pixels on a circular arc overlapping a circle using a predetermined pixel in interest as its center and calculating an integrated evaluation value to evaluate whether the circular arc is a circular arc corresponding to a similar semicircular shape, for each of plural circular arcs that overlap the circle in overlapping phases which are different from each other, compares plural integrated evaluation values corresponding to the plural circular arcs, and extracts the circular arc with which the integrated evaluation value indicating the most approximation to the similar semicircular shape is associated, from the plural circular arcs.

Abstract: A probability distribution constructing method extracts a subject shape similar to a subject of a specific type repeatedly appearing in various sizes in plural images obtained by repeatedly photographing a field using a fixedly disposed camera, from plurality images, in accordance with a size of the similar subject shape and positional information of the camera on a view angle. Subsequently, the probability distribution constructing method determines the similar subject shape, and calculates an appearance probability distribution of the size of the subject, and detects the subject using the appearance probability distribution.