Using of 2 cameras on the tennis court with 480x270 resolution (32 bits colour) at 25 frame rate. With the purpose of obtaining 3d trajectory of the ball that allows making an estimation with approximately 7 ms of error of the moment of touching of the ball with the ground. Also, it is necessary to give an approximation of the position of the bounce but the error in the estimation can be around 10 cm of error.
Form the input of the two cameras, a C++/python/C# algorithm (we prefer C++ for a fast algorithm) can estimate the 3D trajectory of the ball and detect the ball bouncing taking into consideration illumination changes of outdoor scenes. The camera is a global shutter type, and the exposure time of the cameras can be controlled and the position of the camera can vary by the action of the wind, etc.
13 freelances font une offre moyenne de 1382 € pour ce travail
Hi, I have read the details I believe I can do this job. While I believe I have some queries which need to be clarified. For that I would request you to start the chat so we could clarify those. We can discuss the time Plus
Hi. I can help you with this task. I develop technical vision systems and others. If you have sample pictures, send me, I will appreciate some points. You also need information about equipment, cameras, lenses, viewing Plus
Thanks for your posting. I read your description carefully. As an intermediate computer vision/machine learning developer, i have some experience in object detection, and camera calibration, 3d object positioning, c++/ Plus
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******** MACHINE LEARNING EXPERT & COMPUTER VISION PROFESSIONAL ************ Thank you for your posting! I’ve applied ML to Image Processing project before. Developed a lot of computer vision projects with its various Plus
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