Name
Abstract | ||
|---|---|---|
We present a generalized mobile technique which allows for the classification of vehicles by tracking two vehicle based Points of Interest (PoI). Tracking the two PoI allows for the composition of those points into a 3D geometry, which is unique to a given vehicle type. Using high fidelity physics based simulation we demonstrate the capability to classify the 3D geometries in the presence of noise by extracting vector lengths and angles as features. Additionally, we investigate the classification advantages presented by representing the features in multiple linear transform domains and fusing the information from those different domains into a single ensemble classifier. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MWSCAS.2016.7870119 | Midwest Symposium on Circuits and Systems Conference Proceedings |
Field | DocType | ISSN |
High fidelity,3d geometry,Pattern recognition,Computer science,Linear transform,Feature extraction,Artificial intelligence,Point of interest,Classifier (linguistics),Detector,Principal component analysis | Conference | 1548-3746 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| William McDowell | 1 | 0 | 0.34 |
| Lockheed Martin | 2 | 0 | 0.34 |
| Wasfy B. Mikhael | 3 | 76 | 76.27 |