Crowd Density Estimation in Spatial and Temporal Distortion Environment Using Parallel Multi-Size Receptive Fields and Stack Ensemble Meta-Learning

Crowd Density Estimation in Spatial and Temporal Distortion Environment Using Parallel Multi-Size Receptive Fields and Stack Ensemble Meta-Learning

The estimation of crowd density is crucial for applications such as autonomous driving, visual surveillance, crowd control, public space planning, and warning visually distracted drivers prior to an accident. Having strong translational, reflective, and scale symmetry, models for estimating the dens...

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Bibliographic Details
Main Authors: Addis Abebe Assefa, Wenhong Tian, Negalign Wake Hundera, Muhammad Umar Aftab
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Symmetry
Subjects:
crowd density estimation
parallel multi-size receptive field
ensemble learning for crowd estimation
self-attention with crowd estimation
Online Access:https://www.mdpi.com/2073-8994/14/10/2159

Internet

https://www.mdpi.com/2073-8994/14/10/2159

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