Estimating 2D Upper Body Poses from Monocular Images

Share/Save/Bookmark

Broekhuijsen, Jeroen and Poppe, Ronald and Poel, Mannes (2006) Estimating 2D Upper Body Poses from Monocular Images. [Report]

open access
[img]
Preview
PDF
553kB
Abstract:Automatic estimation and recognition of poses from video allows for a whole range of applications. The research described here is an important step towards automatic extraction of 3D poses. We describe our research to extract the 2D joint locations of the people in meeting videos. The key point of the research described here is that we generalize over variations in appearance of both people and scene. This results in a robust detection of 2D joint locations. For the detection of different limbs, we employ a number of limb locators. Each of these uses a different set of image features. We evaluate our work on two videos that have been recorded in the meeting context. Our results are promising, yielding an average error of approximately 3-5 cm per joint.
Item Type:Report
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/66349
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page

Metis ID: 238676