Multiple object tracking in deep learning approaches: A survey
Object tracking is a fundamental computer vision problem that refers to a set of methods
proposed to precisely track the motion trajectory of an object in a video. Multiple Object …
proposed to precisely track the motion trajectory of an object in a video. Multiple Object …
DefectTR: End-to-end defect detection for sewage networks using a transformer
The sanitary sewer is a crucial underground infrastructure of any country that collects
wastewater and carries it to the treatment plant. The damage triggered by various factors …
wastewater and carries it to the treatment plant. The damage triggered by various factors …
A novel memory and time-efficient ALPR system based on YOLOv5
With the rapid development of deep learning techniques, new innovative license plate
recognition systems have gained considerable attention from researchers all over the world …
recognition systems have gained considerable attention from researchers all over the world …
[HTML][HTML] Shine: A deep learning-based accessible parking management system
The ongoing expansion of urban areas facilitated by advancements in science and
technology has resulted in a considerable increase in the number of privately owned …
technology has resulted in a considerable increase in the number of privately owned …
An efficient and unified recognition method for multiple license plates in unconstrained scenarios
Y Jiang, F Jiang, H Luo, H Lin, J Yao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
License plate recognition is an important research topic in image recognition, which plays a
vital role in hel** the government effectively manage vehicles. At present, most license …
vital role in hel** the government effectively manage vehicles. At present, most license …
An all-in-one vehicle type and license plate recognition system using YOLOv4
SH Park, SB Yu, JA Kim, H Yoon - Sensors, 2022 - mdpi.com
In smart surveillance and urban mobility applications, camera-equipped embedded
platforms with deep learning technology have demonstrated applicability and effectiveness …
platforms with deep learning technology have demonstrated applicability and effectiveness …
A License Plate Recognition System with Robustness against Adverse Environmental Conditions Using Hopfield's Neural Network
License plates typically have unique color, size, and shape characteristics in each country.
This paper presents a general method for character extraction and pattern matching in …
This paper presents a general method for character extraction and pattern matching in …
The study of the effectiveness of advanced algorithms for learning neural networks based on FPGA in the musical notation classification task
The work contains an original comparison of selected algorithms using artificial neural
network models, such as RBF neural networks, and classic algorithms, approaches that are …
network models, such as RBF neural networks, and classic algorithms, approaches that are …
Real-Time Multi-class Helmet Violation Detection Using YOLOv8 with License Plate Recognition
In this paper, we propose an end-to-end approach to performing multi-class, real-time
detection, prior to the specific classes of motorcycles, helmets, and license plates in traffic …
detection, prior to the specific classes of motorcycles, helmets, and license plates in traffic …
Construction of a Smart Supply Chain for Sand Factory Using the Edge‐Computing‐Based Deep Learning Algorithm
B Li, X Zhang, Y Ban, X Xu, W Su, J Chen… - Scientific …, 2022 - Wiley Online Library
The diminishing natural sand has facilitated the booming of the sand manufacturing industry,
and intelligent management of sand factories, in a time‐and cost‐efficient way, has become …
and intelligent management of sand factories, in a time‐and cost‐efficient way, has become …