Congress 1258
  • Mauro Fernández-Sanjurjo, Manuel Mucientes, Vı́ctor M. Brea
  • IbPRIA 2019: 9th Iberian Conference on Pattern Recognition and Image Analysis. Madrid, España. 2019

Real-Time Traffic Monitoring with Occlusion Handling

Traffic surveillance through vision systems is a highly demanded task. To solve it, it is necessary to combine detection and tracking in a way that meets the requirements of operating in real time while being robust against occlusions. This paper proposes a traffic monitoring system that meets these requirements. It is formed by a deep learning-based detector, tracking through a combination of Discriminative Correlation Filter and a Kalman Filter, and data association based on the Hungarian method. The viability of the system has been proved for roundabout input/output analysis with near 1,000 vehicles in real-life scenarios.
Keywords: Multiple Object Tracking, Traffic Monitoring, Roundabout Analysis
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