Fujitsu Corporation

Mari Iwasaki

Kohji Yamada

Kazuo Sasaki

Takaya Yamamoto

Daisuke Abe

Takashi Hamano

Naoshi Kayashima

Kenji Orita

An information processing apparatus includes a processor that detects positions of ball candidates from a plurality of time-series image frames. The processor adds a position of a second ball candidate to a second image frame subsequent to a first image frame based on a position of a first ball candidate and movement definition information. The first ball candidate is detected from the first image frame. The movement definition information defines a characteristic of a movement of a ball. The processor generates a plurality of trajectory candidates by combining a plurality of ball candidates detected from image frames of different times. The processor evaluates the plurality of trajectory candidates to determine a ball trajectory. The processor interpolates, when the ball trajectory is interrupted, between a starting point and an ending point of the interruption with a trajectory of a first person who moves from the starting point to the ending point.

Image processing method and information processing apparatus

A camera, a storage device, and an image processing apparatus are included. The storage device stores a plurality of captured images that are captured by the camera. The image processing apparatus estimates a region of an object included in a captured image of a current time based on a captured image of a previous time, for each of multiple objects included in the captured image of the current time. The image processing apparatus evaluates whether to correct the estimated region of each object based on a combination region in which the estimated regions of the respective objects are combined, and on a difference region that is identified by a background image and the captured image of the current time. The image processing apparatus corrects the estimated regions of the respective objects based on a result of evaluation.

Image processing system, image processing apparatus, and image processing method for object tracking

In a pixel interpolation apparatus for interpolating pixels, an edge pixel detection unit detects edge pixels constituting an edge among pixels on lines positioned above/below the interpolation pixel. A continuous edge detection unit detects edge pixels in which two pixels or more consecutively line up among edge pixels detected by the edge pixel detection unit as a continuous edge. A continuous edge pair detection unit determines the combination of the continuous edges detected on each of the lines above and below the interpolation pixel among the continuous edges detected by the continuous edge detection unit. An edge direction determination unit determines the edge direction of the interpolation pixel on the basis of the positional relation of one set of continuous edges determined by the continuous edge pair detection unit. An interpolation pixel calculation unit calculates an interpolation pixel using the edge direction determined by the edge direction determination unit.

Pixel interpolation apparatus and method

An image output apparatus includes an addition amount calculation unit that calculates, based on a target pixel and each of adjacent pixels before and after the target pixel in an input image, an edge enhancement addition amount to be added to a pixel value of the target pixel; a variation calculation unit that calculates a linear variation in accordance with a shape of an edge gradient formed by the target pixel and each of the adjacent pixels; a weight processing unit that assigns a weight to the edge enhancement addition amount in accordance with the linear variation; and an addition amount addition unit that adds the weighted edge enhancement addition amount to the pixel value of the target pixel and outputs the added pixel value.

Image output apparatus, edge enhancement method, and recording medium

A disclosed pixel interpolation apparatus for converting an image to a predetermined resolution includes a first interpolating part configured to calculate a first interpolation pixel value by performing high order interpolation using pixel values of plural first reference pixels and a distance between the plural first reference pixels and a first interpolation pixel; a second interpolating part configured to calculate a second interpolation pixel value by performing weighted interpolation using pixel values of plural second reference pixels, an edge gradient of the second reference pixels, and the distance between the second reference pixels and a second interpolation pixel; an overshoot area detecting part configured to detect an overshoot area in the image; and an interpolation pixel selecting part configured to determine whether to perform the high order interpolation or the weighted interpolation according to a detection result of the overshoot area detecting part.

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Fukuoka, Japan

Mari Iwasaki