Electronics and Telecommunications Research Institute

Myung Gyu Kim

Jong Sung Kim

Seong Min Baek

Il Kwon Jeong

Sung Jin Hong

Sang Woo Seo

Woo Suk Kim

Byoung Tae Choi

Ye Jin Kim

A system for recognizing collision positions of a plurality of moving objects in a screen includes an infrared camera configured to obtain an image frame when a plurality of moving objects move toward a screen, a memory configured to store a program for calculating a collision position in the screen on the basis of the image frame, and a processor configured to execute the program stored in the memory. By executing the program, the processor detects all of the plurality of moving objects from the image frame to generate a graph where moving objects included in a successive image frame are connected to one another, and calculates a collision position of the moving object included in the image frame and a collision position of the moving object in the screen on the basis of the graph.

System and method of recognizing collision position of screen

Provided are a system and method for simultaneously reconstructing an initial three-dimensional (3D) trajectory and velocity of an object by using single camera images. The system for simultaneously reconstructing an initial 3D trajectory and velocity of an object by using single camera images includes a receiver configured to receive 3D world coordinate information of a starting point of an object and object-captured image information of a single camera, a two-dimensional (2D) coordinate acquisition unit configured to acquire 2D image coordinates of the object from the object-captured image information, and a reconstructor configured to simultaneously reconstruct an initial 3D velocity and trajectory of the object by applying a 3D motion equation to the 2D image coordinates and depth information from the single camera to the object.

System and method for simultaneously reconstructing initial 3D trajectory and velocity of object by using single camera images

Provided is an apparatus and method for automatically recognizing an object by using a low-speed camera in a dual photographing mode, in which the apparatus includes an image acquirer and an image information analyzer. In the present disclosure, without using a separate motion sensor a movement state of a specific object during sports activities may be automatically recognized by using a successive photographing function of a low-speed camera in a dual photographing mode. Further, once an object starts moving, high-speed images in a multiple exposure mode may be automatically captured by using a high-speed photographing function of the low-speed camera in a dual photographing mode without using an expensive high-speed camera, and based on the captured images, movement information, including a movement speed and direction of the sports ball, the force and axis of rotation of the ball, and the like, is automatically analyzed to generate object movement information.

Apparatus and method for automatically recognizing object by using low-speed camera in dual photographing mode

An apparatus for generating a 3-dimensional character motion via timing transfer. The apparatus includes an example motion database configured to store data about one or more example motions of characters with an identical skeleton model structure; an example motion analyzer configured to generate a timing source by analyzing timing in a designated example motion data among the one or more example motion data stored in the example motion database; and an input motion transfer part configured to re-adjust spatial movements in an input motion in correspondence with the generated timing source so as to generate an output motion.

Apparatus and method for generating 3D character motion via timing transfer

Disclosed are a method and apparatus for measuring rotation characteristics such as rotation rate, rotation axis, and rotation angle of a rotating body. A method of measuring rotation characteristics includes extracting a rotating-body region from an image of the rotating body; extracting a surface pattern of the rotating body on the basis of brightness values of the extracted rotating-body region and acquiring rotation characteristics of the rotating body on the basis of change in the extracted surface pattern. Accordingly, it is possible to accurately measure rotation characteristics regardless of variation in brightness values of a surface region of the rotating body depending on illumination of a lamp, sensitivity of a camera, and exposure time of a camera.

Method and apparatus for measuring rotation characteristics of rotating body

Disclosed are an apparatus and a method for measuring a speed of a rotation body and recognizing a spin using a line scan. The present invention provides an apparatus and a method for calculating a motion of an object capable of acquiring line scan images using some lines of an area scan camera and calculating a three-dimensional speed and a three-dimensional spin of a rotation body by using a composite image in which the line scan images are coupled. The present invention can provide a realistic game or training at low cost by providing realistic physical simulation of the rotation body while allowing a competitive price when producing products by using the existing inexpensive camera.

Apparatus and method for calculating motion of object

Disclosed is a method for automatically extracting centroids and features of a spherical object required to measure a flight speed, a flight direction, a rotation speed, and a rotation axis of the spherical object in a system for measuring flight information of the spherical object with a high-speed stereo camera. In order to automatically extract the centroids and the features of the spherical object, the present invention may automatically extract the centroid and the feature by detecting only the pixel of the foreground image including the spherical object generated by excluding the motionless background image from each camera image, sorting the interconnected pixels among the pixels of the detected foreground image into the independent pixel cluster, and then, using, in the extraction of the centroid and the feature, only one pixel cluster having a size similar to the actual spherical object.

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Daejeon, South Korea

Myung Gyu Kim