Name
Abstract | ||
|---|---|---|
Estimating human pose in static images is challenging due to the high dimensional state space, presence of image clutter and ambiguities of image observations. In this paper we propose a method to automatically segment human subjects in images, based on dominant colors, and given the face captured by a face detector. The posture is estimated using a 2D model combined with anthropometric data. Experimental results showed that the proposed technique performs well in non trivial images. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICIP.2010.5653552 | 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING |
Keywords | Field | DocType |
human upper body parts estimation, segmentation | Facial recognition system,Object detection,Computer vision,Pattern recognition,Computer science,Clutter,Segmentation,Pose,Image segmentation,Artificial intelligence,Pixel,State space | Conference |
ISSN | Citations | PageRank |
1522-4880 | 4 | 0.47 |
References | Authors | |
8 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jacques, J.C.S. | 1 | 10 | 2.31 |
| Leandro Lorenzett Dihl | 2 | 14 | 4.16 |
| Claudio R. Jung | 3 | 29 | 2.70 |
| Marcelo R. Thielo | 4 | 5 | 0.85 |
| Renato Keshet | 5 | 338 | 27.26 |
| Soraia R. Musse | 6 | 134 | 17.09 |