Name
Title | ||
|---|---|---|
People Detection and Tracking from an RGB-D Camera in Top-View Configuration: Review of Challenges and Applications. |
Abstract | ||
|---|---|---|
This paper presents a literature review on the use of RGB-D camera for people detection and tracking. Our aim is to use this state-of-the-art report to demonstrate the potential of top-view configuration for people detection and tracking applications in several sub-domains, to outline key limitations and to indicate areas of technology, where solutions for remaining challenges may be found. The survey examines the success of RGB-D cameras because of their affordability and for the additional rough depth information coupled with visual images that provide. These cameras in configuration top-view have already been successfully applied in the several fields to univocally identify people and to analyse behaviours and interactions. From this report, it emerges that detecting and tracking people can be a valuable source of information for many fields and purposes. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-70742-6_20 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Top-View,RGB-D camera,Tracking,Detection | Computer vision,Computer science,Artificial intelligence,RGB color model | Conference |
Volume | ISSN | Citations |
10590 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 25 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniele Liciotti | 1 | 24 | 5.25 |
| Marina Paolanti | 2 | 10 | 12.39 |
| Emanuele Frontoni | 3 | 248 | 47.04 |
| Primo Zingaretti | 4 | 289 | 44.00 |