LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment

TL;DR

LiveHPS++ is a novel LiDAR-based human motion capture system that robustly and accurately captures coherent human movements in dynamic, noisy, and open environments, outperforming existing methods.

Contribution

The paper introduces LiveHPS++, a new LiDAR-based motion capture approach with three modules that improve robustness and precision in noisy, real-world settings.

Findings

Significantly outperforms existing methods on multiple datasets.

Establishes a new benchmark in LiDAR-based human motion capture.

Effective in dynamic and unconstrained environments.

Abstract

LiDAR-based human motion capture has garnered significant interest in recent years for its practicability in large-scale and unconstrained environments. However, most methods rely on cleanly segmented human point clouds as input, the accuracy and smoothness of their motion results are compromised when faced with noisy data, rendering them unsuitable for practical applications. To address these limitations and enhance the robustness and precision of motion capture with noise interference, we introduce LiveHPS++, an innovative and effective solution based on a single LiDAR system. Benefiting from three meticulously designed modules, our method can learn dynamic and kinematic features from human movements, and further enable the precise capture of coherent human motions in open settings, making it highly applicable to real-world scenarios. Through extensive experiments, LiveHPS++ has proven to significantly surpass existing state-of-the-art methods across various datasets, establishing a new benchmark in the field.