Evaluating Example-based Pose Estimation: Experiments on the HumanEva Sets


Poppe, Ronald (2007) Evaluating Example-based Pose Estimation: Experiments on the HumanEva Sets. [Report]

open access
Abstract:We present an example-based approach to pose recovery, using histograms of oriented gradients as image descriptors. Tests on the HumanEva-I and HumanEva-II data sets provide us insight into the strengths and limitations of an example-based approach. We report mean relative 3D errors of approximately 65 mm per joint on HumanEva-I, and 175 mm on HumanEva-II. We discuss our results using single and multiple views. Also, we perform experiments to assess the algorithm’s generalization to unseen subjects, actions and viewpoints. We plan to incorporate the temporal aspect of human motion analysis to reduce orientation ambiguities, and increase the pose recovery accuracy.
Item Type:Report
Additional information:This text has been accepted for the Computer Vision and Pattern Recognition (CVPR’07) workshop on Evaluation of Articulated Human Motion and Pose Estimation EHuM2). This version of the document is for documentation purposes.
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/64422
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page

Metis ID: 242003