Tools, techniques, datasets and application areas for object detection in an image: a review
J Kaur, W Singh - Multimedia Tools and Applications, 2022 - Springer
Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …
images and videos. Over the past, it has gained much attention to do more research on …
A comprehensive survey of deep learning-based lightweight object detection models for edge devices
P Mittal - Artificial Intelligence Review, 2024 - Springer
This study concentrates on deep learning-based lightweight object detection models on
edge devices. Designing such lightweight object recognition models is more difficult than …
edge devices. Designing such lightweight object recognition models is more difficult than …
EnsembleNet: A hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models
Due to static traffic management regulations on roadways, traffic flow may become
congested as it has been growing on roads. Estimating traffic density impacts intelligent …
congested as it has been growing on roads. Estimating traffic density impacts intelligent …
Traffic flow detection using camera images and machine learning methods in ITS for noise map and action plan optimization
L Fredianelli, S Carpita, M Bernardini, LG Del Pizzo… - Sensors, 2022 - mdpi.com
Noise maps and action plans represent the main tools in the fight against citizens' exposure
to noise, especially that produced by road traffic. The present and the future in smart traffic …
to noise, especially that produced by road traffic. The present and the future in smart traffic …
Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach
M Bie, Y Liu, G Li, J Hong, J Li - Expert Systems with Applications, 2023 - Elsevier
A vehicle detection algorithm is of great significance for automatic driving technology.
Current vehicle detection algorithms suffer from the complex structure, high configuration of …
Current vehicle detection algorithms suffer from the complex structure, high configuration of …
Scaling up face masks detection with YOLO on a novel dataset
Face mask detection is a challenging research problem of computer vision because of the
small sized area of face mask. The unavailability of proper datasets makes this problem …
small sized area of face mask. The unavailability of proper datasets makes this problem …
A fast and accurate real-time vehicle detection method using deep learning for unconstrained environments
Deep learning-based classification and detection algorithms have emerged as a powerful
tool for vehicle detection in intelligent transportation systems. The limitations of the number …
tool for vehicle detection in intelligent transportation systems. The limitations of the number …
Yolo-based deep learning model for pressure ulcer detection and classification
Pressure ulcers are significant healthcare concerns affecting millions of people worldwide,
particularly those with limited mobility. Early detection and classification of pressure ulcers …
particularly those with limited mobility. Early detection and classification of pressure ulcers …
A modified-YOLOv5s model for detection of wire braided hose defects
Z Ying, Z Lin, Z Wu, K Liang, XD Hu - Measurement, 2022 - Elsevier
High-pressure steel wire braided hoses have periodic braided steel wire structure and its
productivity is too huge to refrain from making mistakes occasionally such as wire missed …
productivity is too huge to refrain from making mistakes occasionally such as wire missed …
Applying enhanced real-time monitoring and counting method for effective traffic management in tashkent
This study describes an applied and enhanced real-time vehicle-counting system that is an
integral part of intelligent transportation systems. The primary objective of this study was to …
integral part of intelligent transportation systems. The primary objective of this study was to …