Name
Abstract | ||
|---|---|---|
The aim of this paper is to present a new method for multi-view object or human body (or body part) detection. The basic idea consists of using a single view detector in every view of a scene captured by multiple cameras and then combining the results using the 3D information of the scene. The method can improve the results of the single view detector, while also localizing the object/human in the 3D space. This results in a robust way for rejecting the false detections, amending the missed detections and associating the results of the single view detector across views. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICIP.2010.5652542 | 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING |
Keywords | Field | DocType |
pixel,detectors,calibration,human body | Object detection,Computer vision,Computer graphics (images),Computer science,Artificial intelligence,Pixel,Detector | Conference |
ISSN | Citations | PageRank |
1522-4880 | 1 | 0.36 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Georgios Sfiris | 1 | 1 | 0.36 |
| Nikolaos Nikolaidis | 2 | 108 | 10.31 |
| Ioannis Pitas | 3 | 6478 | 626.09 |