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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Kapja e Lëvizjes pa Shenjues×Analiza e ecjes me DTW×
FushaBiomekanikëBiomekanikë
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinës20171978
KrijuesiZhe CaoSakoe and Chiba
LlojiDeep learning pipelineSequence alignment and pattern matching
Burimi themeluesCao, 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 ↗Sakoe, H., & Chiba, S. (1978). Dynamic programming algorithm optimization for spoken word recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing, 26(1), 43-49. DOI ↗
Emërtime të tjeraMarker-free tracking, Vision-based motion capture, Deep learning pose estimationDTW, Gait pattern matching, Temporal gait comparison
Të lidhura33
PërmbledhjaMarkerless motion capture infers the 3D positions and joint angles of a moving subject from video sequences using computer vision and machine learning. Pioneered by deep learning approaches such as OpenPose and MediaPipe, it eliminates the need for reflective markers or inertial sensors, making motion capture accessible and practical for real-world applications.Dynamic Time Warping (DTW) is a sequence alignment algorithm that measures similarity between time series of different lengths by allowing flexible temporal matching. Applied to gait analysis, DTW enables comparison of walking patterns across subjects and conditions despite variations in cadence or stride length.
ScholarGateSeti i të dhënave
  1. v1
  2. 2 Burimet
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  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Markerless Motion Capture · DTW Gait Analysis. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare