Name
Title | ||
|---|---|---|
Machine learning for people detection in guidance functionality of enabling health applications by means of cascaded SVM classifiers. |
Abstract | ||
|---|---|---|
Electronic assistance devices for visually impaired people often require pedestrian detection functionality. Due to the fact that these devices have only low computational processing capabilities, it is necessary to use realtime algorithms that meet these requirements. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jfranklin.2017.10.008 | Journal of the Franklin Institute |
Field | DocType | Volume |
Structured support vector machine,Pattern recognition,Scoring algorithm,Computer science,Support vector machine,Histogram of oriented gradients,Artificial intelligence,Classifier (linguistics),Pedestrian detection,Machine learning | Journal | 355 |
Issue | ISSN | Citations |
4 | 0016-0032 | 0 |
PageRank | References | Authors |
0.34 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandros Gavriilidis | 1 | 0 | 0.34 |
| Jörg Velten | 2 | 44 | 12.37 |
| Stephan Tilgner | 3 | 0 | 1.35 |
| Anton Kummert | 4 | 234 | 55.14 |