Name
Abstract | ||
|---|---|---|
The paper presents a real time car detection and tracking system that can be used in a mobile device equipped with a camera (e.g. handset, tablet etc.). The underlying detector is implemented using a variant of the AdaBoost [5], and the tracker is built on Lucas-Kanade optical flow algorithm. The uniqueness of the work lies in the simplicity and the portability of the framework that can assist drivers in real time without much computation effort. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICCVE.2012.53 | Connected Vehicles and Expo |
Keywords | Field | DocType |
mobile devices,lucas-kanade optical flow algorithm,mobile device,real time car detection,computation effort,underlying detector,tracking,detection,real time,android,boosting,learning artificial intelligence,object tracking | Object detection,Computer vision,AdaBoost,Real-time data,Computer science,Tracking system,Real-time computing,Mobile device,Video tracking,Artificial intelligence,Software portability,Handset | Conference |
ISSN | ISBN | Citations |
2378-1289 | 978-1-4673-4705-1 | 2 |
PageRank | References | Authors |
0.41 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ayan Acharya | 1 | 109 | 12.35 |
| Jangwon Lee | 2 | 18 | 2.24 |
| An Chen | 3 | 2 | 0.41 |