Crowd Counting Using End-to-End Semantic Image Segmentation

Crowd Counting Using End-to-End Semantic Image Segmentation

Crowd counting is an active research area within scene analysis. Over the last 20 years, researchers proposed various algorithms for crowd counting in real-time scenarios due to many applications in disaster management systems, public events, safety monitoring, and so on. In our paper, we proposed a...

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Bibliographic Details
Main Authors: Khalil Khan, Rehan Ullah Khan, Waleed Albattah, Durre Nayab, Ali Mustafa Qamar, Shabana Habib, Muhammad Islam
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Electronics
Subjects:
artificial intelligence
crowd counting
crowd analysis
classification
deep learning
semantic scene segmentation
Online Access:https://www.mdpi.com/2079-9292/10/11/1293

Internet

https://www.mdpi.com/2079-9292/10/11/1293

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