Encouraged by the results achieved, a new relational pose-based feature, Trisarea, based on geometric relationship between human joints, is proposed and ...
Human Motion Recognition from 3D Pose Information - Trisarea
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The paper shows how the variation of a selected set of Trisarea features over time constitutes a descriptor of human motion and demonstrates how this motion ...
Encouraged by the results achieved, a new relational pose-based feature, Trisarea, based on geometric relationship between human joints, is proposed and ...
Apr 3, 2023 · In this work we study the benefits of using tracking and 3D poses for action recognition. To achieve this, we take the Lagrangian view on analysing actions.
Missing: Trisarea: based
Aug 31, 2024 · The overall objective of ActionPose is to enable 3D human pose estimation and text-motion alignment. The network consists of two encoders to ...
Missing: Trisarea: | Show results with:Trisarea:
An action graph is employed to model explicitly the dynamics of the actions and a bag of 3D points to characterize a set of salient postures that correspond ...
Sep 4, 2014 · The 3D pose should not be difficult to calculate by multiplying the original 3D poses with some transform matrix.
Nov 16, 2023 · I need a quick, at least makeshift solution for detecting 3D human pose in video, preferably using Python. My concern is that single-frame models don't track ...
The core aim of 3D human orientation data augmentation is to create new data that can extend and complement the original training dataset (Li X. et al., 2023).
Jun 10, 2022 · 3D human pose estimation works in real-time. Companies can use this technology in the physiotherapy industry, creating coaching apps, AR apps, and more.