Motion segmentation using Ward’s hierarchical agglomerative clustering for crowd disaster risk mitigation

Author:

Hafeezallah AdelORCID,Al-Dhamari AhlamORCID,Abu-Bakar Syed Abd RahmanORCID

Publisher

Elsevier BV

Subject

Geology,Safety Research,Geotechnical Engineering and Engineering Geology,Building and Construction

Reference66 articles.

1. Visual analysis of socio-cognitive crowd behaviors for surveillance: A survey and categorization of trends and methods;Zitouni;Eng. Appl. Artif. Intell.,2019

2. A new approach to dominant motion pattern recognition at the macroscopic crowd level;Matkovic;Eng. Appl. Artif. Intell.,2022

3. U-ASD Net: Supervised crowd counting based on semantic segmentation and adaptive scenario discovery;Hafeezallah;IEEE Access,2021

4. A two-stream abnormal detection using a cascade of extreme learning machines and stacked auto encoder;Gnouma;Multimedia Tools Appl.,2023

5. Multi-scale network with integrated attention unit for crowd counting;Hafeezallah;Comput., Mater. Continua,2022

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