Abstract: A collator includes at least one processor and a storage unit storing a plurality of registered face images, the processor performs a partial collation for collating a feature quantity of a first target area excluding partial areas in each of the plurality of registered face images with a feature quantity of a second target area excluding a partial area in a search face image to be searched, and displays a result of the partial collation.

Abstract: A collator includes at least one processor and a storage unit storing a plurality of registered face images, the processor performs a partial collation for collating a feature quantity of a first target area excluding partial areas in each of the plurality of registered face images with a feature quantity of a second target area excluding a partial area in a search face image to be searched, and displays a result of the partial collation.

Abstract: Provided is a cosmetic assist device that can extract a cosmetic technique for making a user's face look like a target face image. The device includes an image capturing unit for capturing a face image of a user, an input unit for inputting a target face image, a synthesized face image generating unit for generating a plurality of synthesized face images obtained by applying mutually different cosmetic techniques on the face image of the user, a similarity determination unit for determining a degree of similarity between each synthesized face image and the target face image, and a cosmetic technique extraction unit for extracting one of the cosmetic techniques that was used to obtain the synthesized face image determined to have a highest degree of similarity by the similarity determination unit.

Abstract: A face recognition device includes: an image capture unit, an area detection unit, a feature amount extraction unit, a distance estimation unit and a feature amount update unit. The image capture unit is configured to capture an image of an object. The area detection unit is configured to detect a given area of the object based on an image obtained as an image capture result of the image capture unit. The feature amount extraction unit is configured to extract a feature amount within the given area detected by the area detection unit. The distance estimation unit is configured to estimate a distance between the image capture unit and the given area. The feature amount update unit is configured to update the feature amount extracted by the feature amount extraction unit based on the distance estimated by the distance estimation unit.

Abstract: A category selection portion selects a face orientation based on an error between the positions of feature points (the eyes and the mouth) on the faces of each face orientation and the positions of feature points, corresponding to the feature points on the faces of each category, on the face of a collation face image. A collation portion collates the registered face images of the face orientation selected by the category selection portion and the collation face image with each other, and the face orientations are determined so that face orientation ranges where the error with respect to each individual face orientation is within a predetermined value are in contact with each other or overlap each other. The collation face image and the registered face images can be more accurately collated with each other.

Abstract: Provided is a cosmetic assist device that can extract a cosmetic technique for making a user's face look like a target face image. The device includes an image capturing unit for capturing a face image of a user, an input unit for inputting a target face image, a synthesized face image generating unit for generating a plurality of synthesized face images obtained by applying mutually different cosmetic techniques on the face image of the user, a similarity determination unit for determining a degree of similarity between each synthesized face image and the target face image, and a cosmetic technique extraction unit for extracting one of the cosmetic techniques that was used to obtain the synthesized face image determined to have a highest degree of similarity by the similarity determination unit.

Abstract: A plurality of block pairs are set by setting two of the rectangular blocks contained in one template as one block pair. A score showing a degree to which a part of an object is included in the template is held based on a relation of a relative level between block luminance values in each of the block pairs set in the template. These processes are carried out for all templates. Based on a sum of the scores of all the templates, and whether the object is included in the image is determined.

Abstract: A challenge to be met is to make it possible to accurately ascertain a behavior history of a person in various camera environments. Person characteristic data extracted from a plurality of cameras are stored in a person characteristic database. A retrieval request receiving section receives an identifier for identifying a person to be retrieved as a retrieval key. A characteristic retrieval section performs retrieval of persons matching the retrieval key from the person characteristic database in descending order of similarity. A retrieval result grouping section classifies the results of retrieval into units assumed to belong to the same environment. A retrieval result display section displays results of grouping. Since retrieval results are displayed in the form of a list on each unit assumed to belong to the same environment, the person to be retrieved can simply be ascertained in various camera environments despite a limited number of displays provided.

Abstract: A plurality of block pairs are set by setting two of the rectangular blocks contained in one template as one block pair. A score showing a degree to which a part of an object is included in the template is held based on a relation of a relative level between block luminance values in each of the block pairs set in the template. These processes are carried out for all templates. Based on a sum of the scores of all the templates, and whether the object is included in the image is determined.

Abstract: A face recognition device includes: an image capture unit, an area detection unit, a feature amount extraction unit, a distance estimation unit and a feature amount update unit. The image capture unit is configured to capture an image of an object. The area detection unit is configured to detect a given area of the object based on an image obtained as an image capture result of the image capture unit. The feature amount extraction unit is configured to extract a feature amount within the given area detected by the area detection unit. The distance estimation unit is configured to estimate a distance between the image capture unit and the given area. The feature amount update unit is configured to update the feature amount extracted by the feature amount extraction unit based on the distance estimated by the distance estimation unit.

Abstract: An imaging region adjustment device includes plural camera terminals, capable of imaging an entire imaging target without blinds spots. Each of the camera terminals includes a camera which images a virtual imaging region obtained while changing the position of an imaging region within a specific region in a specific period of time and an adjusting unit B which adjusts the position of the virtual imaging region by controlling the camera.

Abstract: The present invention provides a monitoring system enabling efficient determination of code amounts for respective cameras according to the movement of an object.

Abstract: A monitoring system is provided that thoroughly covers an area subject to monitoring, through shooting areas of plural camera terminals, while shooting with resolution according to distribution of importance for monitoring. The monitoring system includes camera terminals, each including a camera having a shooting area adjustment function, a camera controlling unit controlling an adjustment of the shooting area of the camera, a communication IF communicating with an other camera terminal, and a processing unit adjusting a resolution of the shooting area of the camera terminal by controlling the camera via the camera controlling unit to reduce a difference between a weighted resolution of the shooting area of the camera terminal and a weighted resolution of shooting area of the other camera terminal based on information regarding the shooting area of the other camera terminal obtained through the communication IF.

Abstract: A challenge to be met by the present invention is to provide an analogous image retrieval result display apparatus and a method for displaying a result of retrieval of an analogous image that make it possible to simply, accurately ascertain a behavior history of a person to be retrieved in various camera environments. Person characteristic data (a face, a color, a figure, and the like) extracted from a plurality of cameras (11) are stored in a person characteristic database (14). A retrieval request receiving section (101) receives an identifier for identifying a person to be retrieved as at least a retrieval key, and a characteristic retrieval section (102) performs retrieval of persons matching the retrieval key from the person characteristic database (14) in descending order of similarity.

Abstract: A camera terminal where tables where camera operations are described are not required, and that continues thoroughly imaging a monitoring subject region as a complete system even when a portion of cameras shuts down due to a failure is provided.

Abstract: A detection area adjustment apparatus automatically detects the entire target detection area without producing any dead areas and without requiring cameras to be previously fixed at regular intervals, even in the case where a camera is broken. The detection area adjustment apparatus includes plural camera terminals. Each of the plural camera terminals includes a camera whose detection area is adjustable, an adjustment unit that adjusts the position of the detection area by controlling the camera, and a communication unit that communicates the detection area information indicating the detection area of the camera. The adjustment unit adjusts the position of the detection area of the camera in the current camera terminal so that the total area of the detection areas of the plural camera terminals covers the entire target detection area based on the detection area of the camera in the current camera terminal and the detection areas of the cameras in the other camera terminals.

Abstract: A relay transmission device can achieve high-quality transmission by suppressing congestion in an ad hoc network, even when a network environment changes or performance of a relay device to be communicated with changes.

Abstract: An image capturing apparatus (107-1) which captures an image of an object moving in a space where a light source (109) is placed, the light source emitting light whose intensity varies in a predetermined cycle, the imaging capturing apparatus includes: an imaging device (102-1) for capturing the image of the object and the light from the light source (109); a signal processing unit (103-1) for generating, from a signal outputted from the imaging device (102-1), an image signal that includes a picture sequence synchronized with an imaging apparatus drive signal obtained from the outside; and a phase difference detection unit (105-1), a phase different adjustment unit (106-1), and a drive signal generation unit (104-1), for generating a signal that is synchronized with the intensity variations of the light from the light source (109) which is captured by the imaging device (102-1), and outputting, as the imaging-apparatus drive signal, the generated signal into the signal processing unit (103-1).

Abstract: A monitor system which can flexibly deal with changes in the system structure and perform monitoring of high quality includes a plurality of cameras and connected via a communication medium.

Abstract: A relay transmission device can achieve high-quality transmission by suppressing congestion in an ad hoc network, even when a network environment changes or performance of a relay device to be communicated with changes.