PT Unknown
AU Jürgen Brauer
   Wenjuan Gong
   Jordi Gonzalez
   Michael Arens
TI On the Effect of Temporal Information on Monocular 3D Human Pose Estimation
BT 2nd IEEE International Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams
PY 2011
BP 906
EP 913
DI 10.1109/ICCVW.2011.6130348
AB We address the task of estimating 3D human poses from monocular camera sequences. Many works make use of multiple consecutive frames for the estimation of a 3D pose in a frame. Although such an approach should ease the pose estimation task substantially since multiple consecutive frames allow to solve for 2D projection ambiguities in principle, it has not yet been investigated systematically how much we can improve the 3D pose estimates when using multiple consecutive frames opposed to single frame information. In this paper we analyze the difference in quality of 3D pose estimates based on different numbers of consecutive frames from which 2D pose estimates are available. We validate the use of temporal information on two major different approaches for human pose estimation – modeling and learning approaches. The results of our experiments show that both learning and modeling approaches benefit from using multiple frames opposed to single frame input but that the benefit is small when the 2D pose estimates show a high quality in terms of precision.
ER