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Process / pipelineComputer vision

Ukamataji Mwendo Bila Alama

Ukamataji mwendo bila alama hubainisha nafasi za 3D na pembe za viungo vya somo linalosonga kutoka kwa mfuatano wa video kwa kutumia maono ya kompyuta na ujifunzaji wa mashine. Ukamataji huu ulianzishwa na mbinu za ujifunzaji wa kina kama vile OpenPose na MediaPipe, na huondoa hitaji la alama zinazoakisi au sensorer za inertial, na kufanya ukamataji mwendo kupatikana na kuwa wa vitendo kwa matumizi halisi.

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Vyanzo

  1. Cao, Z., Simon, T., Wei, S. E., & Sheikh, Y. (2017). Realtime multi-person 2D pose estimation using part affinity fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR.2017.143
  2. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Markerless Motion Capture. ScholarGate. https://scholargate.app/sw/biomechanics/markerless-motion-capture

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Imerejelewa na

ScholarGateMarkerless Motion Capture (Markerless Motion Capture). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/biomechanics/markerless-motion-capture · Seti ya data: https://doi.org/10.5281/zenodo.20539026