Vision-based human motion analysis: An overview
R Poppe - Computer vision and image understanding, 2007 - Elsevier
Markerless vision-based human motion analysis has the potential to provide an
inexpensive, non-obtrusive solution for the estimation of body poses. The significant …
inexpensive, non-obtrusive solution for the estimation of body poses. The significant …
Hand modeling, analysis and recognition
Analyzing hand gestures is a comprehensive task involving motion modeling, motion
analysis, pattern recognition, machine learning and even psycholinguistic studies. A …
analysis, pattern recognition, machine learning and even psycholinguistic studies. A …
Multimodal deep autoencoder for human pose recovery
Video-based human pose recovery is usually conducted by retrieving relevant poses using
image features. In the retrieving process, the map** between 2D images and 3D poses is …
image features. In the retrieving process, the map** between 2D images and 3D poses is …
Learning to fuse 2d and 3d image cues for monocular body pose estimation
B Tekin, P Márquez-Neila… - Proceedings of the …, 2017 - openaccess.thecvf.com
Most recent approaches to monocular 3D human pose estimation rely on Deep Learning.
They typically involve regressing from an image to either 3D joint coordinates directly or 2D …
They typically involve regressing from an image to either 3D joint coordinates directly or 2D …
[KNIHA][B] Computer vision: algorithms and applications
R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …
despite all of the recent advances in computer vision research, the dream of having a …
A survey of vision-based methods for action representation, segmentation and recognition
Action recognition has become a very important topic in computer vision, with many
fundamental applications, in robotics, video surveillance, human–computer interaction, and …
fundamental applications, in robotics, video surveillance, human–computer interaction, and …
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 …
Image-based three-dimensional human pose recovery by multiview locality-sensitive sparse retrieval
Image-based 3-D human pose recovery is usually conducted by retrieving relevant poses
with image features. However, it suffers from the high dimensionality of image features and …
with image features. However, it suffers from the high dimensionality of image features and …
Recovering 3D human pose from monocular images
We describe a learning-based method for recovering 3D human body pose from single
images and monocular image sequences. Our approach requires neither an explicit body …
images and monocular image sequences. Our approach requires neither an explicit body …
A data-driven approach for real-time full body pose reconstruction from a depth camera
The 3D reconstruction of complex human motions from 2D color images is a challenging
and sometimes intractable problem. The pose estimation problem becomes more feasible …
and sometimes intractable problem. The pose estimation problem becomes more feasible …