Sensors, Vol. 23, Pages 3664: An Effective and Efficient Approach for 3D Recovery of Human Motion Capture Data

Sensors, Vol. 23, Pages 3664: An Effective and Efficient Approach for 3D Recovery of Human Motion Capture Data
Sensors doi: 10.3390/s23073664
Authors:
Hashim Yasin
Saba Ghani
Björn Krüger

In this work, we propose a novel data-driven approach to recover missing or corrupted motion capture data, either in the form of 3D skeleton joints or 3D marker trajectories. We construct a knowledge-base that contains prior existing knowledge, which helps us to make it possible to infer missing or corrupted information of the motion capture data. We then build a kd-tree in parallel fashion on the GPU for fast search and retrieval of this already available knowledge in the form of nearest neighbors from the knowledge-base efficiently. We exploit the concept of histograms to organize the data and use an off-the-shelf radix sort algorithm to sort the keys within a single processor of GPU. We query the motion missing joints or markers, and as a result, we fetch a fixed number of nearest neighbors for the given input query motion. We employ an objective function with multiple error terms that substantially recover 3D joints or marker trajectories in parallel on the GPU. We perform comprehensive experiments to evaluate our approach quantitatively and qualitatively on publicly available motion capture datasets, namely CMU and HDM05. From the results, it is observed that the recovery of boxing, jumptwist, run, martial arts, salsa, and acrobatic motion sequences works best, while the r...

Source: Sensors - March 31, 2023 Category: Biotechnology Authors: Hashim Yasin Saba Ghani Bj örn Krüger Tags: Article Source Type: research