Imaging device and imaging method and program

Abstract

An imaging device includes an image input section which sequentially inputs image data with a predetermined time interval, a face detector to detect a face area of a subject from the image data, a rotational motion detector to detect a rotational motion between two frames of image data input with the predetermined time interval, and a controller to control the imaging device to execute a predetermined operation when the rotational motion is detected by the rotational motion detector. The rotational motion detector detects a candidate of rotational motion between the two frames of image data and calculate a coordinate of a rotation center and a rotational angle of the candidate, and determine whether or not the candidate is the rotational motion from a central coordinate of the detected face area, the coordinate of the rotation center and the rotational angle.

Description

Technical field [0001] The present invention relates to an imaging device, an imaging method, and a program that recognize a subject and control an imaging operation based on the movement of the subject. Background technique [0002] Imaging devices with automatic shutter functions such as digital cameras or digital video cameras have become popular. The automatic shutter function is to shoot the subject automatically at any time or within a predetermined time after the shutter is fully pressed. [0003] In the existing automatic shooting, a problem arises, that is, if the user shoots himself after setting the camera and pressing the shutter, the user may complete the shooting before the user is ready to be photographed, or after the user is ready to be photographed. Or she had to wait for the shutter to click. [0004] In addition, an imaging device capable of releasing the shutter through a remote controller is proposed. However, the user may forget to bring the remote control o...

AI Technical Summary

Problems solved by technology

[0009] However, disadvantageously, the imaging device requires a large amount of information as body part position data, color data, size data, and texture data to accurately recognize the subject's gestures

Also, it takes a lot of time and load on the device to process a lot of data

Also, because gesture patterns, skin color, and the shape and size of body parts vary from individual to individual, even large amounts of data may not be enough to accurately identify a person's gestures

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