Difference between revisions of "Template:Full Body Pose Estimation for Sports Analysis/Main contents"
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of interaction between computational systems and the real | of interaction between computational systems and the real | ||
world. It is widely used in tasks such as biomedical motion | world. It is widely used in tasks such as biomedical motion | ||
| − | analysis, sports analysis or even as a motion capture | + | analysis, sports analysis, or even as a motion capture |
| − | + | technology to animate virtual characters. | |
At RidgeRun we decided to take part, and we started our | At RidgeRun we decided to take part, and we started our | ||
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With a multi-camera setup as simple as the one shown in | With a multi-camera setup as simple as the one shown in | ||
the following image: | the following image: | ||
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[[File:DispTEC2020 HW setup render.png|900px|thumb|center|Render showing a possible hardware setup.]] | [[File:DispTEC2020 HW setup render.png|900px|thumb|center|Render showing a possible hardware setup.]] | ||
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You will be able to estimate the three-dimensional pose | You will be able to estimate the three-dimensional pose | ||
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next video demonstration. | next video demonstration. | ||
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| − | <iframe id="video" width="560" height="315" src="https://www.youtube.com/embed/ | + | <iframe id="video" width="560" height="315" src="https://www.youtube.com/embed/CicS5KsmkTE" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> |
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</html> | </html> | ||
| − | + | -------------> | |
| − | If you are interested | + | <br> |
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| + | <embedvideo service="youtube" itemprop="video" itemscope itemtype="https://schema.org/VideoObject"> | ||
| + | <meta itemprop="contentURL" content="https://youtu.be/CicS5KsmkTE"> | ||
| + | <meta itemprop="thumbnailUrl" content="PoseEstimation.png"> | ||
| + | <meta itemprop="description" content="PoseEstimation"> | ||
| + | <meta itemprop="name" content="PoseEstimation"> | ||
| + | </embedvideo> | ||
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| + | <br> | ||
| + | If you are interested in learning more, please take a look | ||
at our wiki. You will find technical documentation, tutorials, | at our wiki. You will find technical documentation, tutorials, | ||
| − | examples and much more! | + | examples, and much more! |
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Latest revision as of 14:04, 8 May 2023
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Welcome to RidgeRun's Full Body |
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Overview | ||
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Pose estimation has become one of the topics of interest in the computer vision field. It constitutes a great method of interaction between computational systems and the real world. It is widely used in tasks such as biomedical motion analysis, sports analysis, or even as a motion capture technology to animate virtual characters. At RidgeRun we decided to take part, and we started our own research project based on three-dimensional human pose estimation. We developed a multi-view human 3D pose estimation system, which is constituted by two stages. In the first stage, we perform an initial estimation using the data provided by the camera system. Then, on the second stage, the initial pose estimation gets processed to assure bio-mechanical plausibility and temporal consistency. With a multi-camera setup as simple as the one shown in
the following image:
You will be able to estimate the three-dimensional pose of the user. Reaching great results as shown in our next video demonstration.
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RidgeRun support | ||
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RidgeRun provides support for Embedded Linux development, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators exposed to perform transformations on the video streams achieving great performance on complex processing.
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