Detecting and tracking vehicles from transportation surveillance videos is essential for applications ranging from traffic queue detection, volume calculation to incident and vehicle identification. However, challenges including object occlusion and shadowy condition often lead to poor detection and tracking performance. In this paper, we propose a new approach to tackle these challenges. It is done by performing background subtraction, vehicle segmentation, shadow detection and removal, and vehicle tracking. Further, we apply the results of the above approach to perform vehicle classification and vehicle counting.
Spatiotemporal Vehicle Tracking, Counting and Classification
2017-04-01
467871 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Vehicle light tracking apparatus and method using spatiotemporal information
Europäisches Patentamt | 2022
|Video-Based Vehicle Detection and Tracking Using Spatiotemporal Maps
Online Contents | 2009
|Video-Based Vehicle Detection and Tracking Using Spatiotemporal Maps
Transportation Research Record | 2009
|