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An Image Feature-Based Method for Parking Lot Occupancy

Author

Listed:
  • Paula Tătulea

    (Industrial Software SRL, 550173 Sibiu, Romania)

  • Florina Călin

    (Industrial Software SRL, 550173 Sibiu, Romania)

  • Remus Brad

    (Industrial Software SRL, 550173 Sibiu, Romania)

  • Lucian Brâncovean

    (Industrial Software SRL, 550173 Sibiu, Romania)

  • Mircea Greavu

    (Industrial Software SRL, 550173 Sibiu, Romania)

Abstract

The main scope of the presented research was the development of an innovative product for the management of city parking lots. Our application will ensure the implementation of the Smart City concept by using computer vision and communication platforms, which enable the development of new integrated digital services. The use of video cameras could simplify and lower the costs of parking lot controls. In the aim of parking space detection, an aggregated decision was proposed, employing various metrics, computed over a sliding window interval provided by the camera. The history created over 20 images provides an adaptive method for background and accurate detection. The system has shown high robustness in two benchmarks, achieving a recognition rate higher than 93%.

Suggested Citation

  • Paula Tătulea & Florina Călin & Remus Brad & Lucian Brâncovean & Mircea Greavu, 2019. "An Image Feature-Based Method for Parking Lot Occupancy," Future Internet, MDPI, vol. 11(8), pages 1-17, August.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:8:p:169-:d:254035
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