An Image Feature-Based Method for Parking Lot Occupancy

Paula Tătulea, Florina Călin, Remus Brad, Lucian Brâncovean and Mircea Greavu
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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

Future Internet, 2019, vol. 11, issue 8, 1-17

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%.

Keywords: smart city; car parking occupancy; monitoring; image features (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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