Omron Corporation

Shun Sakai

Hiroyuki Tanaka

Atsushi Irie

Tatsuya Murakami

Yuki Hanzawa

Takahiro Takayama

Motoo Yamamoto

Takashi Ohta

Hiromatsu Aoki

Hideki Chujo

Seiichi Manabe

Kazuya Urabe

Masahiko Ogawa

Seriya Iguchi

An object detection device for detecting a target object from an image, includes: a first detection unit configured to detect a plurality of candidate regions in which the target object exists from the image; a region integration unit configured to determine one or more integrated regions based on the plurality of candidate regions detected by the first detection unit; a selection unit configured to select at least a part of the integrated regions; and a second detection unit configured to detect the target object from the selected integrated region using a detection algorithm different from a detection algorithm used by the first detection unit.

Object detection device, object detection method, and program

An object detection device detects a predetermined object from an image. The object detection device includes a first detection unit configured to detect a plurality of candidate regions where the predetermined object exists from the image, a region integrating unit configured to determine one or a plurality of integrated regions according to the plurality of candidate regions detected by the first detection unit, and a second detection unit configured to detect, in the one or the plurality of integrated regions, the predetermined object by using a detection algorithm different from an algorithm of the first detection unit. As a result, it is possible to detect the predetermined object faster and more accurately than before.

An image generator configured to generate a face detecting image used in face detection processing of detecting a face from an image, has a representative luminance calculator that calculates a representative luminance value representing a luminance value of each pixel of a photographed image obtained by photographing; and a gamma converter that generates the face detecting image by performing gamma conversion processing on the photographed image. The luminance value of each pixel of the image is converted using a predetermined gamma value. The gamma converter performs the gamma conversion processing using a first gamma value when the representative luminance value calculated by the representative luminance calculator is greater than or equal to a predetermined threshold.

Image generator and image generation method

An area information estimating device has a camera that photographs an image within a sensing area, a person detector that detects a person from the image from the camera, and a position calculator that calculates an existence position of the person in the sensing area based on a coordinate on the image in which the person is detected by the person detector. The person detector excludes the person in whom a relationship between the coordinate and a size on the image does not satisfy a predetermined condition from a detection target.

Area information estimating device, area information estimating method, and air conditioning apparatus

An image display apparatus configured to zoom display an image to be displayed on a display area has a position specifying unit that specifies a position of an object contained in a displayed image, a position deciding unit that decides a positional relationship between an outer frame of the display area and the position of the object, and a zoom speed changing unit that changes a zoom speed in the zoom display depending on the decided positional relationship.

Image display apparatus, method of controlling image display apparatus, image display program, and computer readable recording medium recording the same

A gesture recognition device configured to detect a gesture from acquired image and generate command issued to a control target instrument according to the gesture, the gesture recognition device comprising: an image acquisition unit configured to acquire an image; a gesture acquisition unit configured to detect a target region performing a gesture from the acquired image, and acquire the gesture based on motion or a shape of the detected target region; a face detection unit configured to detect a face comprised in the acquired image; a correlation unit configured to correlate the detected target region with the detected face using a human body model representing a shape of a human body; a personal identification unit configured to identify a user corresponding to the detected face; and a command generation unit configured to generate a command issued to the control target instrument based on the identified user and the acquired gesture.

Gesture recognition device and control method for the same

An image processing device selects an image in which sharpness of a photographic subject is relatively high compared with sharpness of a background. The image processing device includes a photographic subject detection unit that identifies a photographic subject region on an image, which includes a predetermined photographic subject, by detecting the predetermined photographic subject from the image, a background region identifying unit that identifies a background region on the image, which is other than the photographic subject region, a sharpness identifying unit that identifies sharpness of the photographic subject region and sharpness of the background region, a score calculation unit that calculates a score based on a difference in the sharpness between the photographic subject region and the background region, and a determination unit which determines the image as an optimum image when the score indicates that photographic subject region is clearer than the background region.

Device and method for determining an optimum image

A gesture input device that controls a control device on the basis of a gesture action of a user has a gesture detecting unit that detects a gesture from an image picked up by a camera, a first gesture determining unit that determines that the gesture detected by the gesture detecting unit includes a first gesture, a second gesture determining unit that determines that the gesture detected by the gesture detecting unit includes a second gesture, and a control signal generating unit that sets a period in which the first gesture determining unit determines that the gesture includes the first gesture as a second gesture valid period in which recognition of the second gesture is valid and generates a control signal on the basis of the second gesture when the second gesture determining unit determines that the gesture includes the second gesture in the second gesture valid period.

Gesture input device and method for controlling gesture input device

A high-accuracy matching result is obtained when a condition of a photographed input image differs from a condition of a photographed registration image. A face matching device including the registration face image, in which a person is photographed, and a photographing condition which corresponds to the registration face image are registered in a registration face image database. The face matching device includes a condition detecting unit, a registration face image selecting unit, and a matching unit. The condition detecting unit detects a photographing condition in the input face image which includes the photographed person. The registration face image selecting unit determines and selects the closest of the photographing condition from the input face image with the photographing conditions of the registration face images based on the determined closeness of the photographing condition. The matching unit performs matching using the registration face image corresponding to the selected photographing condition.

Matching device, digital image processing system, matching device control program, computer-readable recording medium, and matching device control method

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Shiga, Japan

Shun Sakai