Real-time object detection and recognition using fixed-wing Lale VTOL UAV
This research aimed to identify objects from a real-time video (30 Hz) stream transmitted
from a low-altitude long-endurance (LALE) fixed-wing hybrid vertical takeoff and landing …
from a low-altitude long-endurance (LALE) fixed-wing hybrid vertical takeoff and landing …
PFYOLOv4: An improved small object pedestrian detection algorithm
K Li, Y Zhuang, J Lai, Y Zeng - IEEE Access, 2023 - ieeexplore.ieee.org
With the development of deep convolutional neural networks, the effect of pedestrian
detection has been rapidly improved. However, there are still many problems in small target …
detection has been rapidly improved. However, there are still many problems in small target …
Proximity-Based Optical Camera Communication with Multiple Transmitters Using Deep Learning
In recent years, optical camera communication (OCC) has garnered attention as a research
focus. OCC uses optical light to transmit data by scattering the light in various directions …
focus. OCC uses optical light to transmit data by scattering the light in various directions …
Real-Time Patient Indoor Health Monitoring and Location Tracking with Optical Camera Communications on the Internet of Medical Things
Optical Camera Communication (OCC) is an emerging technology that has attracted
research interest in recent decades. Unlike previous communication technologies, OCC …
research interest in recent decades. Unlike previous communication technologies, OCC …
Two-Stage Method for Clothing Feature Detection
X Lyu, X Li, Y Zhang, W Lu - Big Data and Cognitive Computing, 2024 - mdpi.com
The rapid expansion of e-commerce, particularly in the clothing sector, has led to a
significant demand for an effective clothing industry. This study presents a novel two-stage …
significant demand for an effective clothing industry. This study presents a novel two-stage …
Dense Pedestrian Detection Based on Shifted Window Attention Multi-scale Equalization.
YU Fan, Z Jing - Journal of Frontiers of Computer Science & …, 2024 - search.ebscohost.com
Due to the large differences in the shape and scale of pedestrian targets in real-world
scenarios, compared with traditional methods, which often have lower average accuracy in …
scenarios, compared with traditional methods, which often have lower average accuracy in …
Intelligent Classroom Face Detection Algorithm with Improved YOLOv5.
Z Yuan, Y Jiazheng, LI Hongtian… - Journal of …, 2024 - search.ebscohost.com
The intelligent classroom is a popular application scenario in the field of artificial
intelligence. This paper proposes a face detection algorithm based on improved YOLOv5 …
intelligence. This paper proposes a face detection algorithm based on improved YOLOv5 …
GMC-YOLO: A Face Detection Algorithm Based on Enhanced YOLOv8
C Peng, Q Sang - Proceedings of the 2024 3rd International Conference …, 2024 - dl.acm.org
Face detection represents a popular application in the field of artificial intelligence. This
paper addresses challenges specific to scenarios where cameras are positioned at a …
paper addresses challenges specific to scenarios where cameras are positioned at a …
Automatic counting of mounds on UAV images using computer vision and machine learning
M Nikougoftar Nategh - 2022 - spectrum.library.concordia.ca
Site preparation by mounding is a commonly used silvicultural treatment that improves tree
growth conditions by mechanically creating planting microsites called mounds. Following …
growth conditions by mechanically creating planting microsites called mounds. Following …