An Image Feature-Based Method for Parking Lot Occupancy
Industrial Software SRL, 550173 Sibiu, Romania
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Future Internet 2019, 11(8), 169; https://doi.org/10.3390/fi11080169
Received: 26 June 2019
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Revised: 24 July 2019
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Accepted: 30 July 2019
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Published: 1 August 2019
(This article belongs to the Section Smart System Infrastructure and Applications)
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%.
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Keywords:
smart city; car parking occupancy; monitoring; image features
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MDPI and ACS Style
Tătulea, P.; Călin, F.; Brad, R.; Brâncovean, L.; Greavu, M. An Image Feature-Based Method for Parking Lot Occupancy. Future Internet 2019, 11, 169. https://doi.org/10.3390/fi11080169
AMA Style
Tătulea P, Călin F, Brad R, Brâncovean L, Greavu M. An Image Feature-Based Method for Parking Lot Occupancy. Future Internet. 2019; 11(8):169. https://doi.org/10.3390/fi11080169
Chicago/Turabian StyleTătulea, Paula, Florina Călin, Remus Brad, Lucian Brâncovean, and Mircea Greavu. 2019. "An Image Feature-Based Method for Parking Lot Occupancy" Future Internet 11, no. 8: 169. https://doi.org/10.3390/fi11080169
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