Human pose estimation has made significant progress during the last years. However
current datasets are limited in their coverage of the overall pose estimation challenges. Still …

Human pose estimation refers to the estimation of the location of body parts and how they
are connected in an image. Human pose estimation from monocular images has wide …

Vision-based monocular human pose estimation, as one of the most fundamental and
challenging problems in computer vision, aims to obtain posture of the human body from …

Existing systems for video-based pose estimation and tracking struggle to perform well on
realistic videos with multiple people and often fail to output body-pose trajectories consistent …

Abstract We propose the Encoder-Recurrent-Decoder (ERD) model for recognition and
prediction of human body pose in videos and motion capture. The ERD model is a recurrent …

This work targets human action recognition in video. While recent methods typically
represent actions by statistics of local video features, here we argue for the importance of a …

The objective of this work is human pose estimation in videos, where multiple frames are
available. We investigate a ConvNet architecture that is able to benefit from temporal context …

This paper addresses the challenge of 3D full-body human pose estimation from a
monocular image sequence. Here, two cases are considered:(i) the image locations of the …

Although action recognition in videos is widely studied, current methods often fail on real-
world datasets. Many recent approaches improve accuracy and robustness to cope with …

We describe a method for articulated human detection and human pose estimation in static
images based on a new representation of deformable part models. Rather than modeling …