Automatic person detection in search and rescue operations using deep CNN detectors
S Sambolek, M Ivasic-Kos - Ieee Access, 2021 - ieeexplore.ieee.org
Due to a growing number of people who carry out various adrenaline activities or adventure
tourism and stay in the mountains and other inaccessible places, there is an increasing …
tourism and stay in the mountains and other inaccessible places, there is an increasing …
Faster R-CNN deep learning model for pedestrian detection from drone images
GL Hung, MSB Sahimi, H Samma, TA Almohamad… - SN Computer …, 2020 - Springer
Pedestrian detection from a drone-based images has many potential applications such as
searching for missing persons, surveillance of illegal immigrants, and monitoring of critical …
searching for missing persons, surveillance of illegal immigrants, and monitoring of critical …
An efficient pedestrian detection method based on YOLOv2
Z Liu, Z Chen, Z Li, W Hu - Mathematical Problems in …, 2018 - Wiley Online Library
In recent years, techniques based on the deep detection model have achieved
overwhelming improvements in the accuracy of detection, which makes them being the most …
overwhelming improvements in the accuracy of detection, which makes them being the most …
Vehicle and pedestrian detection algorithm based on lightweight YOLOv3-promote and semi-precision acceleration
H Xu, M Guo, N Nedjah, J Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Aiming at the shortcomings of the current YOLOv3 model, such as large size, slow response
speed, and difficulty in deploying to real devices, this paper reconstructs the target detection …
speed, and difficulty in deploying to real devices, this paper reconstructs the target detection …
Deep neural network based vehicle and pedestrian detection for autonomous driving: A survey
Vehicle and pedestrian detection is one of the critical tasks in autonomous driving. Since
heterogeneous techniques have been proposed, the selection of a detection system with an …
heterogeneous techniques have been proposed, the selection of a detection system with an …
Thermal object detection in difficult weather conditions using YOLO
M Krišto, M Ivasic-Kos, M Pobar - IEEE access, 2020 - ieeexplore.ieee.org
Global terrorist threats and illegal migration have intensified concerns for the security of
citizens, and every effort is made to exploit all available technological advances to prevent …
citizens, and every effort is made to exploit all available technological advances to prevent …
Adapting Gaussian YOLOv3 with transfer learning for overhead view human detection in smart cities and societies
Nowadays, deep neural networks are widely applied in sustainable smart cities and
societies, including smart manufacturing, healthcare, industries, agriculture, surveillance …
societies, including smart manufacturing, healthcare, industries, agriculture, surveillance …
The eurocity persons dataset: A novel benchmark for object detection
Big data has had a great share in the success of deep learning in computer vision. Recent
works suggest that there is significant further potential to increase object detection …
works suggest that there is significant further potential to increase object detection …
Eurocity persons: A novel benchmark for person detection in traffic scenes
Big data has had a great share in the success of deep learning in computer vision. Recent
works suggest that there is significant further potential to increase object detection …
works suggest that there is significant further potential to increase object detection …
Search and rescue operation using UAVs: A case study
Many people go missing in the wild every year. In this paper, the Search and Rescue (SAR)
mission is conducted using a novel system comprising an Unmanned Aerial Vehicle (UAV) …
mission is conducted using a novel system comprising an Unmanned Aerial Vehicle (UAV) …