Canon Kabushiki Kaisha

Keisuke Midorikawa

Tomohiro Nishiyama

Ryosuke Tsuji

Yu Inagaki

An image processing apparatus includes one or more processors that execute a program and thereby function as a setting unit that sets a tracking target region, a generating unit that generates a template to be used in template matching based on a set tracking target region, and a detecting unit that detects, in a current image, a first region that is similar to a template generated by the generating unit, by applying template matching using the template to the image. Therein the setting unit sets, as a new tracking target region, the first region detected in the current image by the detecting unit or a second region of the current image whose position corresponds to a previously set tracking target region.

Image processing apparatus and method of processing image

An imaging device acquires an input image using a lens unit and an imaging element and detects a subject. The imaging device calculates a reliability of detection of a subject and compares the reliability with a threshold value. When the reliability of detection of a subject is less than the threshold value, the imaging device performs a defocus calculating process and a background area determining process. The imaging device performs a low-pass filtering process on the determined background area, decreases a high-frequency component in the background area, and then detects a subject again.

Image processing device, imaging device, image processing method, and recording medium

A disclosed image processing apparatus calculates a background vector expressing a motion of a background based on a plurality of motion vectors detected between a plurality of images. Then the image processing apparatus detects a motion vector of a moving object from the plurality of motion vectors, based on a magnitude of Euclidean distance between each of the plurality of motion vectors and the background vector.

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Tokyo, Japan

Keisuke Midorikawa