We propose a new algorithm for automatic detect violations of traffic rules for improving the people safety on the unregulated pedestrian crossing. The algorithm uses multi-step proceedings. They are zebra detection, cars detection, and pedestrian detection. For car detection, we use faster R-CNN deep learning tool. The algorithm shows promising results in the detection violations of traffic rules.
Algorithm for detecting violations of traffic rules based on computer vision approaches
2017
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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