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In this study, tennis ball rotation and trajectory are analyzed quantitatively. Fourteen dots are marked on a tennis ball to detect the ball rotation, and the markers' x−y positions are detected from high-speed camera images. First, the 3-D positions of the markers are calculated. Then, the rotation matrix is calculated by using the 3-D marker positions of successive camera frames. The rotation parameters,...
We present a novel, real-time, markerless vision-based tracking system, employing a rigid orthogonal configuration of two pairs of opposing cameras. Our system uses optical flow over sparse features to overcome the limitation of vision-based systems that require markers or a pre-loaded model of the physical environment. We show how opposing cameras enable cancellation of common components of optical...
The processing of images in computer vision has developed from early days of single frame, through binocular stereo, multi-view point stereo, streaming video, and up to streaming multi-view point capture. Development of the Dual video acquisition methods and continued with dual and parallel AVI player display can visually display dual view motion detection and successfully identify the depth of the...
This paper describes a vision system to obtain the 3D trajectory of a moving target by stereovision. For our study, we chose to reconstruct the trajectory of a clay plate that is used in ball-trap. The plate's path can reach 60 meters in length. The trajectory is reconstructed from videos of the moving target and plate positions between the left and right images at different times. To find the 3D...
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