Canon Kabushiki Kaisha

Canon Kbaushiki Kaisha

Muling Guo

Kotaro Yano

Ichiro Umeda

Hiroshi Tojo

Satoshi Yashiro

Makoto Sato

Tsukasa Sako

Koji Takekoshi

Akira Tago

Kazuhiko Takahashi

Keiichi Sakai

Lifeng Xu

An information processing apparatus includes an acquiring unit to acquire an input image including an object, an extraction unit to extract a region that has been changed from a background image in the input image, as a changing region, a generating unit to generate a change region image in which a pixel value of each pixel represents whether or not a corresponding pixel in the input image belongs to the changing region, an extraction unit to extract a plurality of feature images from the input image as an output of a neural network by inputting a combination of the input image and the change region image to the neural network, and a detection unit to detect a position of the object from the plurality of feature images.

Information processing apparatus and information processing method for detecting position of object

An image processing apparatus includes an acquiring unit configured to acquire multiple tracking results about an object tracked in multiple video images captured by multiple imaging units. The tracking results correspond one-to-one to the video images. Each of the tracking results contains a position of the object detected from an image frame of the corresponding video image and a tracking label that identifies the object in the video image. The apparatus further includes a relating unit configured to relate objects, detected from image frames of the video images, based on the tracking results acquired by the acquiring unit to obtain relations and an object label generating unit configured to generate an object label based on the relations obtained by the relating unit. The object label uniquely identifies the object across the video images.

Image processing apparatus, image processing system, method for image processing, and computer program

An image processing apparatus includes a detection unit configured to detect positions of an index of which an arrangement is sequentially changed from respective images captured by two imaging devices, a calibration unit configured to calibrate a position of at least one of the two imaging devices based on the positions of the index arranged at an identical position detected from the respective images captured by the two imaging devices, a determination unit configured to determine a candidate position where the index is to be newly arranged based on the positions where the index has already been detected, and a presentation unit configured to present the candidate position.

Image processing apparatus for processing images captured by a plurality of imaging units, image processing method, and storage medium storing program therefor

An image processing apparatus includes an obtaining unit configured to obtain a moving image, a detection unit configured to detect a detection target object from an interest image frame in the moving image, a tracking unit configured to obtain a tracked object in a neighborhood region of a detection position of the detection target object in an image frame preceding the interest image frame in the moving image, and a determination unit configured to determine whether or not the tracked object corresponds to the detection target object by integrating a position where the detection target object is detected by the detection unit and a position where the tracked object is obtained by the tracking unit.

Method and apparatus for detecting object in moving image and storage medium storing program thereof

An image processing device includes a detection unit configured to detect an object from an image captured by each of a plurality of image capturing devices, a determination unit configured to determine whether the object is detected by two image capturing devices or more in the image capturing devices, a first estimation unit configured to estimate, when the object have been detected by the two image capturing devices or more, a three-dimensional position and information on a height of the object based on a detected position where the object is detected in an image captured for each of the two image capturing devices and positions and orientations of the two image capturing devices, and a second estimation unit configured to estimate, when the object have been detected by a single image capturing device, the three-dimensional position of the object.

Position detection device, position detection method, and storage medium

An image processing apparatus includes a holding unit configured to hold a positional relationship of a plurality of image capturing units, an acquisition unit configured to detect objects from respective images captured by the plurality of image capturing units and acquire positions of the objects on the captured images and geometric attributes of the objects, an associating unit configured to associate the detected objects, based on the positional relationship, the positions and the geometric attributes, and an estimation unit configured to estimate a three-dimensional position of the objects based on the positional relationship and the positions of the detected objects.

Image processing apparatus for estimating three-dimensional position of object and method therefor

An image processing apparatus includes a plurality of dictionaries configured to store a feature of an object and information on an imaging direction in a scene for each kind of imaged scene, a detecting unit configured to detect an object with reference to at least one of the plurality of dictionaries in the scene in which the object has been imaged and which is to be learned, an estimating unit configured to estimate the imaging direction the detected object, a selecting unit configured to select one dictionary from the plurality of dictionaries based on the imaging direction estimated by the estimating unit and the information on the imaging direction in each of the plurality of dictionaries, and a learning unit configured to learn the dictionary selected by the selecting unit, based on a detection result produced by the detecting unit.

Image processing apparatus and image processing method which learn dictionary

A medical image handling system includes a monitor for displaying a medical image, an input device for inputting an image reading report corresponding to the medical image displayed on the monitor, and a processor. The processor judges the presence or absence of an image reading report corresponding to the medical image displayed on the monitor, and restricts a change of the medical image in a case where the image reading report is judged as being absent.

Medical image handling system and method

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

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 information processing apparatus includes: a detection unit that detects, as edge pixels, a plurality of pixels in a contour of a head of a person in an image in which the head appears; a determination unit that, for each of the edge pixels, determines, as ellipse candidates, a plurality of ellipses that pass through the edge pixel in a parameter section including predetermined parameters that define an ellipse; a calculation unit that, for each of the edge pixels, calculates an evaluation value based on, for each of the ellipse candidates determined for the edge pixel, a position of the edge pixel in the ellipse candidate; an accumulation unit that accumulates the evaluation values for each of the ellipse candidates; and a selection unit that selects an ellipse candidate having the highest accumulated evaluation value from the ellipse candidates as the head ellipse.

Information processing apparatus, control method for the same, and computer-readable storage medium

An image processing apparatus includes a face detection unit configured to detect a face area of a person from an image, and a head detection area setting unit configured to set a head detection area based on the detected face area of the person. An edge detection unit is configured to detect an edge from the set head detection area, and to generate an edge image which is comprised of the detected edge. An edge deletion unit is configured to delete an edge existing between the face and hair from the edge image, and an ellipse detection unit is configured to detect a candidate ellipse corresponding to a head area from an edge image from which an edge is deleted by the edge deletion unit.

Face and head detection

An image processing apparatus includes a first detecting unit configured to detect an object based on an upper body of a person and a second detecting unit configured to detect an object based on a face of a person. The image processing apparatus determines a level of congestion of objects contained in an input image, selects the first detecting unit when the level of congestion is low, and selects the second detecting unit when the level of congestion is high. The image processing apparatus counts the number of objects detected by the selected first or second detecting unit from the image. Thus, the image processing apparatus can detect an object and count the number of objects with high precision even when the level of congestion is high and the objects tend to overlap one another.

Apparatus and method for counting number of objects

The present invention aims to provide image processing device and method capable of generating a difference image at high speed without occurring misregistration. To achieve this, in the image processing device and method, plural regions of interest are set respectively to input first and second images, a shift vector indicating a misregistration amount between the first and second images is calculated with respect to each of the regions of interest, a filter process is executed to the shift vector, the filter-processed shift vector is interpolated, the first and second images are registered based on the interpolated shift vector, and a subtraction operation is executed between corresponding pixels on the respective registered images to acquire the difference image.

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Kawasaki, Japan

Muling Guo