Traffic Enforcement at Intersections Monitored by A Single Fisheye Camera Containing Noisy Detection and Tracking Data

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.