Canon Kabushiki Kaisha

Satoshi Yashiro

Hiroshi Tojo

Kotaro Yano

Hidetomo Sohma

Muling Guo

Takahisa Yamamoto

Hideo Noro

Kiyotaka Takahashi

Atsuo Nomoto

Shunsuke Nakano

Takashi Suzuki

Yoshinori Ito

Hirotaka Shiiyama

Yuji Kaneda

Yumi Watanabe

Koji Makita

Naotsugu Sagawa

Masayoshi Yamasaki

An information processing apparatus includes detecting a predetermined object from a captured image, identifying an attribute of the detected object, determining a presentation method of presented information representing the attribute based on a detection state of the detected object, displaying the presented information and the captured image based on the determined presentation method.

Information processing apparatus, image display method, and non-transitory computer-readable storage medium for display control

Information processing apparatus includes an input unit configured to input a captured image capturing a target object in a real environment, an obtaining unit configured to obtain an illumination condition in the real environment; a generation unit configured to generate a variation image as an image of a registration object reflecting the illumination condition based on three-dimensional data of the registration object and the obtained illumination condition, and a collation unit configured to collate the registration object with the target object based on a feature amount of the variation image and a feature amount of the captured image.

Apparatus for authenticating an object and method thereof

An image processing apparatus includes an imaging unit, a determination unit, and a discrimination unit. The imaging unit images a target object using signals in a predetermined wavelength band in which a spectral transmittance of a specific substance of a plurality of substances on a surface of the target object is different from a spectral transmittance of the other substances of the plurality of substances. The determination unit determines a distribution state of the specific substance on the surface of the target object based on an image captured by the imaging unit. The discrimination unit discriminates a class to which the target object belongs based on the distribution state of the specific substance.

Image processing apparatus which determines category to which object in image belongs, method therefor, and object discrimination apparatus

A search apparatus comprises a determining unit configured to determine a plurality of attributes of an object designated in a first image, and determine a plurality of attributes of an object that is different from the designated object; and a search unit configured to search a second image for the designated object in accordance with a search condition based on the plurality of attributes of the designated object and the plurality of attributes of the object that is different from the designated object.

Search apparatus, search method, and storage medium

A recognition apparatus includes a calculation unit configured to calculate likelihood of each feature quantity based on the weighted distribution of the feature quantity extracted from a plurality of learning images, a correction unit configured, if a ratio of a learning image to a specific feature quantity is equal to or smaller than a predetermined ratio and a weight for the specific feature quantity is greater than a predetermined value, to correct the value of likelihood of the specific feature quantity to lower the value based on the distribution, a setting unit configured to set the likelihood corrected by the correction unit in association with a feature quantity, and a discrimination unit to extract a feature quantity from an input image and discriminate whether the input image includes a predetermined object based on the likelihood associated with the feature quantity.

Recognition apparatus, recognition method, and storage medium

A face area is detected from an image captured by an image pickup device, pixel values of the image are adjusted based on information concerning the detected face area, a person area is detected from the adjusted image, and the detected face area is integrated with the detected person area. With this configuration, it is possible to accurately detect an object even in a case, for example, where the brightness is varied.

Apparatus and method for detecting specific object pattern from image

A face image is detected for each frame at a predetermined interval in moving image data, and the face image is traced using a frame in which the face image is detected and frames subsequent to the frame. A face sequence including an interval in which the face can be traced and motion velocity vectors of the face indicating a change in the position of the face image in the interval is generated based on the tracing result. Further, camera operation information about when the moving image data is acquired is generated from the frame image of the moving image data. When there is an overlap in the plurality of intervals in which the face images are traced, the face being tracked by the camera is determined using the face sequence and the camera operation information of each of the plurality of face images. The face determined to be tracked is then determined to be a key object.

Image processing apparatus for retrieving object from moving image and method thereof

An image processing apparatus includes an input unit configured to input an image, a determining unit configured to determine a foreground area and a background area in the image input by the input unit, an expansion unit configured to expand the foreground area determined by the determining unit, a calculating unit configured to calculate a feature amount of the foreground area expanded by the expansion unit, and a detecting unit configured to detect an object from the image using the feature amount.

Apparatus and method for detecting object from image, and program

An image processing apparatus includes a region setting unit configured to set a specific region where a reflection may occur in an image, a size setting unit configured to set a size of an object to be detected in association with a position in the image, and a changed region detection unit configured to detect a changed region by comparing a background model and an input image, wherein the changed region detection unit outputs the changed region in the specific region based on the size of the object associated with a position of the changed region, in a case where the changed region extends beyond a boundary of the specific region.

Image processing apparatus, image processing method, and storage medium

An image processing apparatus includes a moving image input unit configured to input a moving image, an object likelihood information storage unit configured to store object likelihood information in association with a corresponding position in an image for each object size in each frame included in the moving image, a determination unit configured to determine a pattern clipping position where a pattern is clipped out based on the object likelihood information stored in the object likelihood information storage unit, and an object detection unit configured to detect an object in an image based on the object likelihood information of the pattern clipped out at the pattern clipping position determined by the determination unit.

Object detection apparatus and method therefor

An image processing apparatus includes an image input unit configured to input an image, a scanning unit configured to scan a detection window on the input image, a first discrimination unit configured to determine whether a pattern within the detection window is a subject based on a plurality of characteristic amounts obtained from within a first region among a plurality of regions within the detection window, and a second discrimination unit configured to determine, if it is determined that the pattern is not the subject by the first discrimination unit, whether the pattern is the subject based on a plurality of characteristic amounts obtained from a second region in which a probability that occlusion of the subject occurs is higher than that in the first region among the plurality of regions. Accordingly, a subject can be detected efficiently, and omissions of detection can be reduced.

Apparatus and method that determines whether a pattern within the detection window is a subject based on characteristic amounts obtained from within a first region

An information processing apparatus for extracting a more appropriate representative frame image from moving image data that includes a plurality of frames of image data arranged in a time series includes: an input unit configured to input moving image data; a detecting unit configured to detect a frame image, which includes an image similar to a prescribed image pattern; a tracking unit configured to detect a frame image, which includes an image similar to the image included in the detected frame image; a storage unit configured to store the successive frame images in association with time information; a splitting unit configured to split the moving image data into a plurality of time intervals with starting time and end time of each of one or more image sequences; and an extracting unit configured to extract a representative frame image.

Information processing apparatus and method of controlling same

An information processing apparatus includes a plurality of information processing units that are connected in stages. Each of the information processing units comprises a plurality of processing units configured to process information and output a processing result and an integration unit configured to input the processing result of one or a plurality of the processing units and output the processing result after integrating the processing result, and changes a connection relation between the output of the processing result from the processing units and the input to the integration unit.

Information processing apparatus including a plurality of multi-stage connected information processing units

An image processing apparatus includes a first storage unit configured to store image data in order of the image data scanned in a main scanning direction, in a first storage device, a transmission unit configured to transmit pixel information of a partial region longer in the main scanning direction of the image data, from the first storage device to a second storage device, and an object discrimination unit configured to reference the pixel information stored in the second storage device and discriminate whether the partial region is an object region based on the pixel information. Thus, according to image processing apparatus, an object can be rapidly detected.

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Yokohama, Japan

Satoshi Yashiro