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Conference Papers Year : 2016

Robust Vehicle Counting with Severe Shadows and Occlusions

Abstract

We present a robust real-time vision-based system for vehicle tracking and categorization, developed for traffic flow surveillance. We propose a robust segmentation algorithm that detects foreground pixels corresponding to moving vehicles. Experimental results based on four large datasets show that our method can count and classify vehicles with a high level of performance (more than 98%).
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Dates and versions

hal-01592042 , version 1 (22-09-2017)

Identifiers

  • HAL Id : hal-01592042 , version 1
  • OATAO : 16856

Cite

Paul Valiere, Louahdi Khoudour, Alain Crouzil, Dung Nghi Truong Cong. Robust Vehicle Counting with Severe Shadows and Occlusions. 5th IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA 2015), Nov 2015, Orléans, France. pp. 99-104. ⟨hal-01592042⟩
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