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:
Provided is a monitoring system configured such that, even when there is a deviation of a shooting region of a camera, if the deviation is within an acceptable level, an accurate vehicle detection using a recognition model can be performed without readjusting parameters or re-training the model. Based on an image of a no-entry zone and a platform zone, a processor performs a first operation for detecting a person in the no-entry zone and a second operation for detecting a vehicle in the no-entry zone; and based on detection results, determines whether an alert needs to be issued. When there is a deviation of the shooting region of a camera, the processor performs a conversion operation for converting an image of a current shooting region to an image that would be captured by the camera with an original shooting region and uses the converted image for the two detection operations.
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:
A surveillance device of the present disclosure includes an image analysis server that generates an alarm when detecting an alarm generation target that has entered an intrusion detection area, based on a camera image captured by a camera. The image analysis server acquires the camera image (basic image) to set a fixed object area (basic area) corresponding to a fixed object included in the basic image, acquires a camera image (live image) to extract a fixed object area (reference area) corresponding to a fixed object included in the live image, calculates a deviation amount of an angle of view based on a result of a comparison in standard position between the basic area and the reference area, and generates a surveillance screen including an adjustment screen for guidance on an operation for cancelling the deviation amount of the angle of view to display the surveillance screen.