Name
Abstract | ||
|---|---|---|
The height of a person can be used as a Soft Biometrics feature in surveillance scenarios. The automatic estimation of pedestrian height have been addressed mostly on calibrated cameras. We are proposing a new method for real height estimation in videos from uncalibrated cameras. Our proposal computes the horizon line within the scene and then, the relative height of each person is obtained. We employ the real height distribution of a population to provide the final height value. In this process, it has been included an evaluation of the silhouette’s quality, in order to improve the results. Experiments were conducted in uncontrolled scenarios, showing a good performance of our method. |
Year | Venue | Field |
|---|---|---|
2017 | CIARP | Population,Computer vision,Pedestrian,Soft biometrics,Pattern recognition,Computer science,Silhouette,Artificial intelligence |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
7 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alejandro Valdés-Camejo | 1 | 0 | 0.34 |
| Guillermo Aguirre-Carrazana | 2 | 0 | 0.34 |
| Raúl Alonso Baryolo | 3 | 0 | 0.34 |
| Annette Morales-González | 4 | 49 | 7.84 |
| Francisco Silva-mata | 5 | 5 | 2.84 |
| Edel Garcia-Reyes | 6 | 95 | 12.84 |