A survey of advances in vision-based human motion capture and analysis
This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …
Human motion tracking for rehabilitation—A survey
Human motion tracking for rehabilitation has been an active research topic since the 1980s.
It has been motivated by the increased number of patients who have suffered a stroke, or …
It has been motivated by the increased number of patients who have suffered a stroke, or …
Real-time human pose recognition in parts from single depth images
We propose a new method to quickly and accurately predict 3D positions of body joints from
a single depth image, using no temporal information. We take an object recognition …
a single depth image, using no temporal information. We take an object recognition …
History repeats itself: Human motion prediction via motion attention
Human motion prediction aims to forecast future human poses given a past motion. Whether
based on recurrent or feed-forward neural networks, existing methods fail to model the …
based on recurrent or feed-forward neural networks, existing methods fail to model the …
Real-time human pose recognition in parts from single depth images
We propose a new method to quickly and accurately predict human pose---the 3D positions
of body joints---from a single depth image, without depending on information from preceding …
of body joints---from a single depth image, without depending on information from preceding …
Stochastic scene-aware motion prediction
A long-standing goal in computer vision is to capture, model, and realistically synthesize
human behavior. Specifically, by learning from data, our goal is to enable virtual humans to …
human behavior. Specifically, by learning from data, our goal is to enable virtual humans to …
TMR: Text-to-motion retrieval using contrastive 3D human motion synthesis
In this paper, we present TMR, a simple yet effective approach for text to 3D human motion
retrieval. While previous work has only treated retrieval as a proxy evaluation metric, we …
retrieval. While previous work has only treated retrieval as a proxy evaluation metric, we …
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
While research on articulated human motion and pose estimation has progressed rapidly in
the last few years, there has been no systematic quantitative evaluation of competing …
the last few years, there has been no systematic quantitative evaluation of competing …
Gaussian process dynamical models for human motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series
analysis, with applications to learning models of human pose and motion from high …
analysis, with applications to learning models of human pose and motion from high …
Hp-gan: Probabilistic 3d human motion prediction via gan
Predicting and understanding human motion dynamics has many applications, such as
motion synthesis, augmented reality, security, and autonomous vehicles. Due to the recent …
motion synthesis, augmented reality, security, and autonomous vehicles. Due to the recent …