10 citations · 15 across the 5 of their papers we have counts for
10 papers
Content-aware Density Map for Crowd Counting and Density Estimation
Mahdi Maktabdar Oghaz, Anish R Khadka, Vasileios Argyriou +1
Precise knowledge about the size of a crowd, its density and flow can provide valuable information for safety and security applications, event planning, architectural design and to…
Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation
Antoine Rimboux, Rob Dupre, Thomas Lagkas +3
Smart video sensors for applications related to surveillance and security are IOT-based as they use Internet for various purposes. Such applications include crowd behaviour monitor…
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy
Robert Dupre, Jiri Fajtl, Vasileios Argyriou +1
A novel semi-supervised learning technique is introduced based on a simple iterative learning cycle together with learned thresholding techniques and an ensemble decision support s…
Scene and Environment Monitoring Using Aerial Imagery and Deep Learning
Mahdi Maktabdar Oghaz, Manzoor Razaak, Hamideh Kerdegari +2
Unmanned Aerial vehicles (UAV) are a promising technology for smart farming related applications. Aerial monitoring of agriculture farms with UAV enables key decision-making pertai…
Semi-supervised GAN for Classification of Multispectral Imagery Acquired by UAVs
Hamideh Kerdegari, Manzoor Razaak, Vasileios Argyriou +1
Unmanned aerial vehicles (UAV) are used in precision agriculture (PA) to enable aerial monitoring of farmlands. Intelligent methods are required to pinpoint weed infestations and m…
A Comparison of Embedded Deep Learning Methods for Person Detection
Chloe Eunhyang Kim, Mahdi Maktab Dar Oghaz, Jiri Fajtl +2
Recent advancements in parallel computing, GPU technology and deep learning provide a new platform for complex image processing tasks such as person detection to flourish. Person d…