Name
Title | ||
|---|---|---|
Multi-camera people localization and height estimation using multiple birth-and-death dynamics |
Abstract | ||
|---|---|---|
This paper presents a novel tool for localizing people in multicamera environment using calibrated cameras. Additionally, we will estimate the height of each person in the scene. Currently, the presented method uses the human body silhouettes as input, but it can be easily modified to process other widely used object (e.g. head, leg, body) detection results. In the first step we project all the pixels of the silhouettes to the ground plane and to other parallel planes with different height. Then we extract our features, which are based on the physical properties of the 2-D image formation. The final configuration results (location and height) are obtained by an iterative stochastic optimization process, namely the multiple birth-and-death dynamics framework. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-22822-3_8 | ACCV Workshops (1) |
Keywords | Field | DocType |
height estimation,multi-camera people localization,final configuration result,ground plane,detection result,iterative stochastic optimization process,multicamera environment,localizing people,human body silhouette,different height,multiple birth-and-death dynamics framework,2-d image formation | Computer vision,Stochastic optimization,Multi camera,Pattern recognition,Computer science,Ground plane,Image formation,Artificial intelligence,Pixel,Human body | Conference |
Volume | ISSN | Citations |
6468 | 0302-9743 | 3 |
PageRank | References | Authors |
0.43 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ákos Utasi | 1 | 49 | 6.40 |
| Csaba Benedek | 2 | 193 | 21.31 |