Revisiting crowd counting: State-of-the-art, trends, and future perspectives

MA Khan, H Menouar, R Hamila - Image and Vision Computing, 2023 - Elsevier
Crowd counting is an effective tool for situational awareness in public places. Automated
crowd counting using images and videos is an interesting yet challenging problem that has …

Approaches on crowd counting and density estimation: a review

B Li, H Huang, A Zhang, P Liu, C Liu - Pattern Analysis and Applications, 2021 - Springer
In recent years, urgent needs for counting crowds and vehicles have greatly promoted
research of crowd counting and density estimation. Benefiting from the rapid development of …

Research trends, themes, and insights on artificial neural networks for smart cities towards SDG-11

A Jain, IH Gue, P Jain - Journal of Cleaner Production, 2023 - Elsevier
Smart Cities can promote economic growth, sustainable transport, environmental
sustainability, and good governance among cities. These benefits can support cities in …

Applications, databases and open computer vision research from drone videos and images: a survey

Y Akbari, N Almaadeed, S Al-Maadeed… - Artificial Intelligence …, 2021 - Springer
Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

YOLO and residual network for colorectal cancer cell detection and counting

I Haq, T Mazhar, RN Asif, YY Ghadi, N Ullah, MA Khan… - Heliyon, 2024 - cell.com
The HT-29 cell line, derived from human colon cancer, is valuable for biological and cancer
research applications. Early detection is crucial for improving the chances of survival, and …

Insect counting through deep learning-based density maps estimation

A Bereciartua-Pérez, L Gómez, A Picón… - … and Electronics in …, 2022 - Elsevier
Digitalization and automation of assessments in field trials are established practice for
farming product development. The use of image-based methods has provided good results …

[HTML][HTML] Machine learning in orthodontics: Challenges and perspectives

J Liu, Y Chen, S Li, Z Zhao… - Advances in Clinical and …, 2021 - advances.umw.edu.pl
Artificial intelligence (AI) applications have significantly improved our everyday quality of life.
The last decade has witnessed the emergence of up-and-coming applications in the field of …

Estimating crowd density with edge intelligence based on lightweight convolutional neural networks

S Wang, Z Pu, Q Li, Y Wang - Expert Systems with Applications, 2022 - Elsevier
Crowd stampedes and incidents are critical threats to public security that have caused
countless deaths during the past few decades. To avoid crowd stampedes, real-time crowd …

A review of deep learning techniques for crowd behavior analysis

B Tyagi, S Nigam, R Singh - Archives of Computational Methods in …, 2022 - Springer
In today's scenario, there are frequent events (viz. political rallies, live concerts, strikes,
sports meet) occur in which many people gather to participate in the event. In crowded areas …

Occupancy prediction in iot-enabled smart buildings: Technologies, methods, and future directions

I Khan, O Zedadra, A Guerrieri, G Spezzano - Sensors, 2024 - mdpi.com
In today's world, a significant amount of global energy is used in buildings. Unfortunately, a
lot of this energy is wasted, because electrical appliances are not used properly or …