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Revisiting crowd counting: State-of-the-art, trends, and future perspectives
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 …
crowd counting using images and videos is an interesting yet challenging problem that has …
Approaches on crowd counting and density estimation: a review
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 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
Smart Cities can promote economic growth, sustainable transport, environmental
sustainability, and good governance among cities. These benefits can support cities in …
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
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 …
emerging application attracting significant attention from researchers in various areas of …
YOLO and residual network for colorectal cancer cell detection and counting
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 …
research applications. Early detection is crucial for improving the chances of survival, and …
Insect counting through deep learning-based density maps estimation
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 …
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 …
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
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 …
countless deaths during the past few decades. To avoid crowd stampedes, real-time crowd …
A review of deep learning techniques for crowd behavior analysis
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 …
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
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 …
lot of this energy is wasted, because electrical appliances are not used properly or …