| Title |
Traffic Enforcement At Intersections Monitored By A Single Fisheye Camera Containing Noisy Detection And Tracking Data |
| ID_Doc |
58560 |
| Authors |
Adl M.; Alizadeh M.; Habibi S.; Vidal C.; Emadi A. |
| Year |
2022 |
| Published |
IECON Proceedings (Industrial Electronics Conference), 2022-October |
| DOI |
http://dx.doi.org/10.1109/IECON49645.2022.9968584 |
| Abstract |
This work is a study of the current state of vehicle trajectory analysis in intersections monitored by a single fisheye camera. The challenges related to using fisheye cameras at intersections are explained, and a zone definition-based framework to detect illegal maneuvers is introduced for busy intersections containing noisy detection and tracking data. The methodology is developed by conducting data rectification, distance-based data filtering, and trajectory classification, followed by detecting banned maneuvers. The illegal maneuver detection algorithm is further extended for defining different banned maneuvers, including illegal turns and box-blocking contravention at intersections. Lastly, the proposed framework is implemented in real-world data captured from the Cubic's GRIDSMART bell camera, and the results are explained in detail. © 2022 IEEE. |
| Author Keywords |
Fisheye camera; Illegal maneuver detection; Intersection monitoring; Smart cities; Trajectory classification |
