Automated vehicle detection and classification: Models, methods, and techniques
Automated Vehicle Classification (AVC) based on vision sensors has received active
attention from researchers, due to heightened security concerns in Intelligent Transportation …
attention from researchers, due to heightened security concerns in Intelligent Transportation …
Boxcars: 3d boxes as cnn input for improved fine-grained vehicle recognition
We are dealing with the problem of fine-grained vehicle make&model recognition and
verification. Our contribution is showing that extracting additional data from the video stream …
verification. Our contribution is showing that extracting additional data from the video stream …
Vehicle detection and recognition for intelligent traffic surveillance system
Y Tang, C Zhang, R Gu, P Li, B Yang - Multimedia tools and applications, 2017 - Springer
Vehicle detection and type recognition based on static images is highly practical and directly
applicable for various operations in a traffic surveillance system. This paper will introduce …
applicable for various operations in a traffic surveillance system. This paper will introduce …
Symmetrical SURF and its applications to vehicle detection and vehicle make and model recognition
Speeded-Up Robust Features (SURF) is a robust and useful feature detector for various
vision-based applications but it is unable to detect symmetrical objects. This paper proposes …
vision-based applications but it is unable to detect symmetrical objects. This paper proposes …
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 …
Artificial intelligent systems for vehicle classification: A survey
Digitalization is revolutionizing our way of life and catalyzing the transformation into smart
city. Intelligent Transportation System (ITS) being an indispensable component of smart city …
city. Intelligent Transportation System (ITS) being an indispensable component of smart city …
Boxcars: Improving fine-grained recognition of vehicles using 3-d bounding boxes in traffic surveillance
In this paper, we focus on fine-grained recognition of vehicles mainly in traffic surveillance
applications. We propose an approach that is orthogonal to recent advancements in fine …
applications. We propose an approach that is orthogonal to recent advancements in fine …
Hyper‐parameters optimisation of deep CNN architecture for vehicle logo recognition
The training of deep convolutional neural network (CNN) for classification purposes is
critically dependent on the expertise of hyper‐parameters tuning. This study aims to …
critically dependent on the expertise of hyper‐parameters tuning. This study aims to …
Reliable classification of vehicle types based on cascade classifier ensembles
B Zhang - IEEE Transactions on intelligent transportation …, 2012 - ieeexplore.ieee.org
Vehicle-type recognition based on images is a challenging task. This paper comparatively
studied two feature extraction methods for image description, ie, the Gabor wavelet …
studied two feature extraction methods for image description, ie, the Gabor wavelet …
Recognition of car makes and models from a single traffic-camera image
This paper proposes the recognition framework of car makes and models from a single
image captured by a traffic camera. Due to various configurations of traffic cameras, a traffic …
image captured by a traffic camera. Due to various configurations of traffic cameras, a traffic …