[HTML][HTML] Two decades of vehicle make and model recognition–survey, challenges and future directions
Vehicle make and model recognition (VMMR) is a crucial task for developing automatic
vehicle recognition (AVR) systems, and has gained significant attention in the fields of …
vehicle recognition (AVR) systems, and has gained significant attention in the fields of …
Face recognition and age estimation implications of changes in facial features: A critical review study
Facial features are considered as one of the important personal characteristics. This can be
used in many applications, such as face recognition and age estimation. The value of these …
used in many applications, such as face recognition and age estimation. The value of these …
License plate detection and recognition using deeply learned convolutional neural networks
This work details Sighthounds fully automated license plate detection and recognition
system. The core technology of the system is built using a sequence of deep Convolutional …
system. The core technology of the system is built using a sequence of deep Convolutional …
Real-time vehicle make and model recognition with the residual SqueezeNet architecture
Make and model recognition (MMR) of vehicles plays an important role in automatic vision-
based systems. This paper proposes a novel deep learning approach for MMR using the …
based systems. This paper proposes a novel deep learning approach for MMR using the …
Dager: Deep age, gender and emotion recognition using convolutional neural network
This paper describes the details of Sighthound's fully automated age, gender and emotion
recognition system. The backbone of our system consists of several deep convolutional …
recognition system. The backbone of our system consists of several deep convolutional …
Real-time vehicle make and model recognition system
A Vehicle Make and Model Recognition (VMMR) system can provide great value in terms of
vehicle monitoring and identification based on vehicle appearance in addition to the …
vehicle monitoring and identification based on vehicle appearance in addition to the …
Multi-source feature fusion for object detection association in connected vehicle environments
Improvements in vehicular perception systems over the last decade have enabled new
levels of safety and awareness in modern production vehicles. However, achievable …
levels of safety and awareness in modern production vehicles. However, achievable …
Vehicle make and model recognition using deep transfer learning and support vector machines
S Naseer, SMA Shah, S Aziz… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
Vehicle make and model recognition (VMMR) is a vital task in applications like intelligent
parking systems, driver assistance systems, and automated toll collection. Accurate …
parking systems, driver assistance systems, and automated toll collection. Accurate …
Transfer learning approach for classification and noise reduction on noisy web data
JA Aghamaleki, SM Baharlou - Expert Systems with Applications, 2018 - Elsevier
One of the main ingredients to learn a visual representation of an object using the
Convolutional Neural Networks is a large and carefully annotated dataset. Acquiring a …
Convolutional Neural Networks is a large and carefully annotated dataset. Acquiring a …
Connected and autonomous vehicles in the deep learning era: A case study on computer-guided steering
Connected and Autonomous Vehicles (CAVs) are typically equipped with multiple advanced
on-board sensors generating a massive amount of data. Utilizing and processing such data …
on-board sensors generating a massive amount of data. Utilizing and processing such data …