Serious games in science education: a systematic literature
Teaching science through computer games, simulations, and artificial intelligence (AI) is an
increasingly active research field. To this end, we conducted a systematic literature review …
increasingly active research field. To this end, we conducted a systematic literature review …
Crowd monitoring and localization using deep convolutional neural network: A review
Crowd management and monitoring is crucial for maintaining public safety and is an
important research topic. Developing a robust crowd monitoring system (CMS) is a …
important research topic. Developing a robust crowd monitoring system (CMS) is a …
Weaponized AI for cyber attacks
Artificial intelligence (AI)-based technologies are actively used for purposes of cyber
defense. With the passage of time and with decreasing complexity in implementing AI-based …
defense. With the passage of time and with decreasing complexity in implementing AI-based …
Stabilization and validation of 3D object position using multimodal sensor fusion and semantic segmentation
The stabilization and validation process of the measured position of objects is an important
step for high-level perception functions and for the correct processing of sensory data. The …
step for high-level perception functions and for the correct processing of sensory data. The …
Semantic segmentation based crowd tracking and anomaly detection via neuro-fuzzy classifier in smart surveillance system
F Abdullah, A Jalal - Arabian Journal for Science and Engineering, 2023 - Springer
Crowd tracking and analysis of crowd behavior is a challenging research area in computer
vision. In today's crowded environment manual surveillance systems are inefficient, labor …
vision. In today's crowded environment manual surveillance systems are inefficient, labor …
Slime Mold optimization with hybrid deep learning enabled crowd-counting approach in video surveillance
Z Xu, DK Jain, P Shamsolmoali, A Goli… - Neural Computing and …, 2024 - Springer
Crowd counting (CC) and density estimation are crucial for ensuring public safety and
security in surveillance videos with large audiences. As computer vision-based scene …
security in surveillance videos with large audiences. As computer vision-based scene …
Scale and density invariant head detection deep model for crowd counting in pedestrian crowds
SD Khan, S Basalamah - The Visual Computer, 2021 - Springer
Crowd counting in high density crowds has significant importance in crowd safety and crowd
management. Existing state-of-the-art methods employ regression models to count the …
management. Existing state-of-the-art methods employ regression models to count the …
Sparse to dense scale prediction for crowd couting in high density crowds
SD Khan, S Basalamah - Arabian Journal for Science and Engineering, 2021 - Springer
Head detection-based crowd counting is of great importance and serves as a preprocessing
step in many visual applications, for example, counting, tracking, and crowd dynamics …
step in many visual applications, for example, counting, tracking, and crowd dynamics …
SCLNet: Spatial context learning network for congested crowd counting
Accurate congested crowd counting is a challenging task, especially in complex crowd
scenes. Many existing counting models easily fail in such cases. To solve this problem, we …
scenes. Many existing counting models easily fail in such cases. To solve this problem, we …
A survey of top-down approaches for human pose estimation
TD Nguyen, M Kresovic - arXiv preprint arXiv:2202.02656, 2022 - arxiv.org
Human pose estimation in two-dimensional images videos has been a hot topic in the
computer vision problem recently due to its vast benefits and potential applications for …
computer vision problem recently due to its vast benefits and potential applications for …