Abstract: A trajectory and a flight distance of a target moving body such as a ball hit by a golf club in an athletic competition such as a golf game may be calculated from the images having been taken. The calculation may be conducted from the pictures having been taken with a monocular camera of low resolution such as a smartphone. An initial velocity and a hitting angle of a target moving body such as a ball having been hit high by the golf club may be calculated.

Abstract: In the case where a three-dimensional position of a moving body is calculated based on image data taken by a plurality of cameras that are synchronized, high performance equipment and system such as a system to make the synchronization among the plurality of cameras and a camera having a built-in function to make the synchronization are required. It is also required to fix the camera position with high accuracy beforehand. It is made possible to calculate a trajectory of a moving body as a target in the three-dimensional space using image data taken by a plurality of cameras that are non-synchronized mutually, thereby solving the above issue. And positions of respective cameras are calculated in the three-dimensional space from a plurality of reference points having fixed position coordinates in the three-dimensional space that are commonly shown in the image data of the respective cameras, thereby solving the above issue.

Abstract: In tracking of a moving body using image data in detecting a target moving body having few externally outstanding features, such as coloring and a shape, from an image in an image frame, if an image of the target moving body overlaps a background image largely and their colorings are the same or similar to one another, it is difficult to detect the target moving body. A template image of the target moving body is superimposed on a background image of a region (periphery) of a candidate position of the target to generate a composite image and the moving body is detected based on a degree of match calculated through comparison of the composite image with an image of the region (periphery) of the candidate position of the target.

Abstract: In the athletic competition involving jumping such as figure skating, it is desired to measure jumping height and flight distance by calculating a trajectory of a moving object as a target from moving images captured by a monocular camera. Provided is a device, a method and a program to calculate the trajectory of the moving object jumping in three dimensions from information of a plurality of image frames captured by the monocular camera by detecting a specific point of the moving object, calculating an amount of change with respect to three-dimensional positions of the specific point in the consecutive image frames, and calculating the trajectory of the specific point from a positional relation between straight lines having the positions of the specific point and a curved line capable of expressing a parabolic motion passing through a take-off point and a landing point.

Abstract: In the case where a three-dimensional position of a moving body is calculated based on image data taken by a plurality of cameras that are synchronized, high performance equipment and system such as a system to make the synchronization among the plurality of cameras and a camera having a built-in function to make the synchronization are required. It is also required to fix the camera position with high accuracy beforehand. It is made possible to calculate a trajectory of a moving body as a target in the three-dimensional space using image data taken by a plurality of cameras that are non-synchronized mutually, thereby solving the above issue. And positions of respective cameras are calculated in the three-dimensional space from a plurality of reference points having fixed position coordinates in the three-dimensional space that are commonly shown in the image data of the respective cameras, thereby solving the above issue.

Abstract: In a moving body tracking using image data, while the moving body of a target has few outstanding features in appearance and a plurality of images similar to that of the target moving body exist in image frames, the moving body is tracked with high accuracy by evaluating a motion model (for example, a motion of a ball follows the law of motion and the ball is likely located above the table-tennis table) in a given environment (for example, table-tennis) from image data.

Abstract: In tracking of a moving body using image data in detecting a target moving body having few externally outstanding features, such as coloring and a shape, from an image in an image frame, if an image of the target moving body overlaps a background image largely and their colorings are the same or similar to one another, it is difficult to detect the target moving body. A template image of the target moving body is superimposed on a background image of a region (periphery) of a candidate position of the target to generate a composite image and the moving body is detected based on a degree of match calculated through comparison of the composite image with an image of the region (periphery) of the candidate position of the target.

Abstract: In a moving body tracking using image data, while the moving body of a target has few outstanding features in appearance and a plurality of images similar to that of the target moving body exist in image frames, the moving body is tracked with high accuracy by evaluating a motion model (for example, a motion of a ball follows the law of motion and the ball is likely located above the table-tennis table) in a given environment (for example, table-tennis) from image data.