2021
Contribution to conference  Open Access

A multi-camera solution for counting vehicles on the edge

Ciampi L., Gennaro C., Carrara F., Falchi F., Vairo C., Amato G.

Smart parking  Counting objects  Edge AI  Counting vehicles  Smart mobility  Deep Learning 

Smart mobility applications, such as intelligent parking and road traffic management, are nowadays widely employed worldwide, making our cities more livable, bringing benefits to our lives, reducing costs, and improving energy usage. We propose a multi-camera system to automatically count vehicles in a parking lot using images captured by smart cameras. Unlike most of the literature on this task, which focuses on the analysis of single images, this paper proposes the use of multiple visual sources to monitor a wider parking area from different perspectives. Experiments show that our solution is robust, flexible, and can benefit from redundant information from different cameras while improving overall performance.

Source: I-CiTies 2021 - 7th Italian Conference on ICT for Smart Cities And Communities, Online Conference, 22-24/09/2021



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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:463914,
	title = {A multi-camera solution for counting vehicles on the edge},
	author = {Ciampi L. and Gennaro C. and Carrara F. and Falchi F. and Vairo C. and Amato G.},
	booktitle = {I-CiTies 2021 - 7th Italian Conference on ICT for Smart Cities And Communities, Online Conference, 22-24/09/2021},
	year = {2021}
}

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