DIAGNOSING METHOD OF GOLF SWING AND SILHOUETTE EXTRACTING METHOD
First Claim
1. A diagnosing method of a golf swing comprising the steps of:
- a camera photographing a golf player swinging a golf club to hit a golf ball and the golf club, to obtain image data;
a calculating part obtaining an edge image of a frame extracted from the image data;
the calculating part subjecting the edge image to binarization based on a predetermined threshold value to obtain a binary image; and
the calculating part subjecting the binary image to Hough transform processing to extract a position of a shaft.
1 Assignment
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Accused Products
Abstract
In a method capable of diagnosing quality of a swing without circumstance, a camera 10 photographs a golf player swinging a golf club to hit a golf ball and the golf club. Image data is obtained by photographing. A calculating part 16 extracts a frame from the image data. The calculating part 16 obtains an edge image of the frame. The calculating part 16 subjects the edge image to binarization based on a predetermined threshold value to obtain a binary image. The calculating part 16 subjects the binary image to Hough transform processing to extract a position of a shaft of the golf club, and specifies a tip coordinate of the golf club. The calculating part 16 contrasts tip coordinates of different frames to determine a temporary flame in an address. The calculating part 16 calculates color information in a reference area of each of the frames by backward sending from a frame after the temporary frame by a predetermined number, and determines a frame in the address based on change of the color information.
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Citations
13 Claims
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1. A diagnosing method of a golf swing comprising the steps of:
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a camera photographing a golf player swinging a golf club to hit a golf ball and the golf club, to obtain image data; a calculating part obtaining an edge image of a frame extracted from the image data; the calculating part subjecting the edge image to binarization based on a predetermined threshold value to obtain a binary image; and the calculating part subjecting the binary image to Hough transform processing to extract a position of a shaft.
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2. A diagnosing system of a golf swing comprising:
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(A) a camera photographing a golf player swinging a golf club to hit a golf ball and the golf club; (B) a memory storing photographed image data; and (C) a calculating part, wherein the calculating part has; (C1) a function for obtaining an edge image of a frame extracted from the image data; (C2) a function for subjecting the edge image to binarization based on a predetermined threshold value to obtain a binary image; and (C3) a function for subjecting the binary image to Hough transform processing to extract a position of a shaft.
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3. A diagnosing method of a golf swing comprising the steps of:
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a camera photographing a golf player swinging a golf club to hit a golf ball and the golf club in a state where a golf club head in an address is positioned in a reference area in a screen to obtain image data; a calculating part obtaining an edge image of a frame extracted from the image data; the calculating part subjecting the edge image to binarization based on a predetermined threshold value to obtain a binary image; the calculating part subjecting the binary image to Hough transform processing to extract a position of a shaft of the golf club, and specifying a tip coordinate of the golf club; the calculating part contrasting tip coordinates of different frames to determine a temporary flame in the address; and the calculating part calculating color information in the reference area of each of frames by backward sending from a frame after the temporary frame by a predetermined number, and determining a frame in the address based on change of the color information. - View Dependent Claims (4, 5, 6)
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7. A diagnosing system of a golf swing comprising:
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(A) a camera photographing a golf player swinging a golf club to hit a golf ball and the golf club in a state where a golf club head in an address is positioned in a reference area in a screen; (B) a memory storing the photographed image data; and (C) a calculating part, wherein the calculating part has; (C1) a function for obtaining an edge image of a frame extracted from the image data; (C2) a function for subjecting the edge image to binarization based on a predetermined threshold value to obtain a binary image; (C3) a function for subjecting the binary image to Hough transform processing to extract a position of a shaft of the golf club, and specifying a tip coordinate of the golf club; (C4) a function for contrasting tip coordinates of different frames to determine a temporary flame in the address; and (C5) a function for calculating color information in the reference area of each of frames by backward sending from a frame after the temporary frame by a predetermined number, and determining a frame in the address based on change of the color information.
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8. A diagnosing method of a golf swing comprising the steps of:
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a camera photographing a golf player swinging a golf club to hit a golf ball and the golf club, to obtain image data; a calculating part determining a frame of a predetermined position during a takeback from a frame extracted from the image data; the calculating part extracting a position of a shaft of the golf club in the frame of the predetermined position; the calculating part determining an intersecting point of an extended line of the shaft and a straight line passing through a tiptoe position of golf player and a position of the golf ball before an impact; and the calculating part determining quality of a posture of the golf player in the predetermined position during the takeback based on a position of the intersecting point.
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9. A silhouette extracting method comprising the steps of:
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photographing an operating photographic subject together with a background scene to obtain a plurality of flames, each of the frames including a large number of pixels; producing a whole frame set including all the frames for each of the pixels; determining whether each of the pixels of each of the frames has an achromatic color or a chromatic color, and producing a chromatic color frame set and an achromatic color frame set for each of the pixels; producing a first histogram in which a frequency is a frame number and a class is first color information, for the whole frame set; producing a second histogram in which a frequency is a frame number;
a class for the chromatic color frame set is second color information; and
a class for the achromatic color frame set is third color information, for the chromatic color frame set and the achromatic color frame set; anddeciding whether the frame of each of the pixels is the background scene or the photographic subject based on the first histogram and the second histogram. - View Dependent Claims (10, 11, 12)
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13. A silhouette extracting system comprising:
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(A) a camera for photographing an operating photographic subject together with a background scene; (B) a memory storing photographed image data; and (C) a calculating part, wherein the calculating part comprises; (C1) a frame extracting part extracting a plurality of frames including a large number of pixels from the image data; (C2) a first set producing part producing a whole frame set including all the frames for each of the pixels; (C3) a second set producing part determining whether each of the pixels of each of the frames has an achromatic color or a chromatic color, and producing a chromatic color frame set and an achromatic color frame set for each of the pixels; (C4) a first histogram producing part producing a first histogram in which a frequency is a frame number and a class is first color information, for the whole frame set; (C5) a second histogram producing part producing a second histogram in which a frequency is a frame number;
a class for the chromatic color frame set is second color information; and
a class for the achromatic color frame set is third color information, for the chromatic color frame set and the achromatic color frame set; and(C6) a deciding part deciding whether each of the frames of each of the pixels is the background scene or the photographic subject based on the first histogram and the second histogram.
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Specification