Aquila Optimization with Transfer Learning Based Crowd Density Analysis for Sustainable Smart Cities

Aquila Optimization with Transfer Learning Based Crowd Density Analysis for Sustainable Smart Cities

Video surveillance in smart cities provides efficient city operations, safer communities, and improved municipal services. Object detection is a computer vision-based technology, which is utilized for detecting instances of semantic objects of a specific class in digital videos and images. Crowd den...

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Bibliographic Details
Main Authors: Mesfer Al Duhayyim, Eatedal Alabdulkreem, Khaled Tarmissi, Mohammed Aljebreen, Bothaina Samih Ismail Abou El Khier, Abu Sarwar Zamani, Ishfaq Yaseen, Mohamed I. Eldesouki
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
sustainability
smart cities
deep learning
crowd density
video surveillance
Online Access:https://www.mdpi.com/2076-3417/12/21/11187

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