Canon Kabushiki Kaisha

Ichiro Umeda

Kotaro Yano

Muling Guo

Hiroyuki Uchiyama

Miho Ishigami

Takashi Suzuki

Xiaoyan Dai

Tetsuomi Tanaka

Lifeng Xu

Hideaki Matsumoto

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 acquires an image including an object and divides the image into a plurality of superpixels based on similarity of adjacent pixels. There is an acquisition, from the superpixels, of a plurality of candidate areas acting as candidates of an area of the object. A feature quantity is extracted from each of the plurality of candidate areas and checked against registered information concerning a feature quantity of object area. The area of the object in the image is output, based on a checked result.

Object detecting apparatus and method

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

There are provided an image recognition apparatus and an image recognition method according to which, when registering a face model for a face image, face images are sequentially acquired from frames of a moving image, feature amounts are extracted from the sequentially acquired face images, and a hypersphere defined by Support Vector Data Description (SVDD) is obtained from the group of training samples. Then, training samples in a boundary region of the hypersphere are registered as boundary samples. When performing matching of a face image of a recognition target, the reliability is calculated using the boundary samples, and a person with the highest reliability is output as a recognition result.

Image recognition apparatus and image recognition method for identifying object

There are provided a characteristic obtaining unit configured to obtain a subject characteristic including a characteristic of a subject, an image processing unit configured to generate a duplicate subject image by performing an image process to an image of the subject according to the subject characteristic obtained by the characteristic obtaining unit, and a learning unit configured to learn a matching dictionary by using the duplicate subject image generated by the image processing unit. Thus, it is possible to reduce the number of subject images necessary for the learning.

Apparatus of learning recognition dictionary, and method of learning recognition dictionary

An electronic document producing device has a correcting unit for correcting distortion of a first image to obtain a correction image, and a character recognition unit for executing character recognition processing on a plurality of character images contained in the correction image to obtain text data. The device also has a unit for finding a base line of each character row in the first image, and a unit for finding a relative position from the base line in regard to each character image in the first image. The device also includes a producing unit for producing an electronic document including the text data and the first image, wherein a position of the text data is described based on the relative position from the base line.

Electronic document producing device, electronic document producing method and storage medium

A reflectance image that represents a reflectance distribution, and an illuminance component image that represents an illuminance distribution are generated from an input image. A plurality of small regions, which are divided based on illuminance components of the generated illuminance component image, are specified. A quantized image is generated from the reflectance image for respective specified small regions. Regions having equal quantized pixel values are acquired in the quantized image. Representative pixel values for the respective acquired regions are acquired based on the illuminance component image. Quantized pixel values of the respective acquired regions are corrected using the acquired representative pixel values.

Image processing apparatus, image processing method, and medium storing image processing program

An image processing apparatus and method generate a vector expression by defining a direction and attribute of gradation of an image as a daub color of the vector expression for each divided contour line of a similar color region obtained from an input image, based on pixel values of plural sampling points inside each of the divided contour lines.

Image processing apparatus, image processing method and program

A license plate recognition apparatus includes a detection unit configured to detect a plurality of quadrangles of license plate region candidates from input images, a character recognition unit configured to execute character recognition of a character region included in the license plate region candidate detected, and an output unit configured to select a license plate region candidate to be output from among the plurality of license plate candidates detected by the detection unit based on the character recognition result and information of the quadrangle of the respective license plate region candidates and output information relating to the license plate region candidates selected.

License plate recognition apparatus, license plate recognition method, and computer-readable storage medium

When a two-dimensional code including a number of location symbols is detected from an image. First, a plurality of location symbols are detected from the image. Then, candidate location symbols are determined among the detected location symbols on the basis of sizes of the detected location symbols and distances between the detected location symbols. After that, a combination of location symbols constituting the two-dimensional code is detected among the candidate location symbols.

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Tokyo, Japan

Ichiro Umeda