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Latest papers without code

Neural Monocular 3D Human Motion Capture with Physical Awareness

3 May 2021

We present a new trainable system for physically plausible markerless 3D human motion capture, which achieves state-of-the-art results in a broad range of challenging scenarios.

3D POSE ESTIMATION MOTION CAPTURE

Estimating Egocentric 3D Human Pose in Global Space

27 Apr 2021

Furthermore, these methods suffer from limited accuracy and temporal instability due to ambiguities caused by the monocular setup and the severe occlusion in a strongly distorted egocentric perspective.

3D HUMAN POSE ESTIMATION MOTION CAPTURE

SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos

23 Apr 2021

In this paper, we propose SportsCap -- the first approach for simultaneously capturing 3D human motions and understanding fine-grained actions from monocular challenging sports video input.

MARKERLESS MOTION CAPTURE

A Feature Selection Method for Multi-Dimension Time-Series Data

22 Apr 2021

Time-series data in application areas such as motion capture and activity recognition is often multi-dimension.

ACTIVITY RECOGNITION FEATURE SELECTION MOTION CAPTURE TIME SERIES

Data-Driven Reinforcement Learning for Virtual Character Animation Control

13 Apr 2021

Also, compared to existing supervised learning-based animation agents, RLAnimate needs a limited dataset of motion clips to generate representations of valid behaviours during training.

MOTION CAPTURE

Graph-based Normalizing Flow for Human Motion Generation and Reconstruction

7 Apr 2021

Data-driven approaches for modeling human skeletal motion have found various applications in interactive media and social robotics.

MOTION CAPTURE

Automated freezing of gait assessment with marker-based motion capture and multi-stage graph convolutional neural networks approaches expert-level detection

29 Mar 2021

To meet this clinical need, this paper proposes a motion capture-based FOG assessment method driven by a novel deep neural network.

MOTION CAPTURE

Measuring and modeling the motor system with machine learning

22 Mar 2021

The utility of machine learning in understanding the motor system is promising a revolution in how to collect, measure, and analyze data.

DIMENSIONALITY REDUCTION MARKERLESS MOTION CAPTURE POSE ESTIMATION

Learning Multiscale Correlations for Human Motion Prediction

19 Mar 2021

We evaluate our approach on two standard benchmark datasets for human motion prediction: Human3. 6M and CMU motion capture dataset.

HUMAN MOTION PREDICTION MOTION CAPTURE MOTION PREDICTION

Self-Supervised Motion Retargeting with Safety Guarantee

11 Mar 2021

In this paper, we present self-supervised shared latent embedding (S3LE), a data-driven motion retargeting method that enables the generation of natural motions in humanoid robots from motion capture data or RGB videos.

MOTION CAPTURE MOTION RETARGETING SELF-SUPERVISED LEARNING