Scale Invariant Transform Feature (SIFT) algorithm is used in this work to extract and represent local interest points. Bag of words model is used to represent ...

Scale Invariant Transform Feature (SIFT) algorithm is used in this work to extract and represent local interest points. Bag of words model is used to represent ...

This work proposes a method based on Linear Support vector machine to solve vehicle make and model classification and promising results are achieved with ...

Mar 2, 2017 · The proposed method is evaluated on a publicly available vehicle make and model dataset and promising results are achieved with this method.

In this paper, we propose and study the suitability of the bag of expressions (BoE) approach for VMMR-based applications.

Bag-of-Features (BoF) model is used to create visual dictionaries and convert the local image features into global image feature representation. Multiple ...

This study examines the use of a YOLOv8 (You Only Look Once version 8) based deep learning model and evaluates its performance for vehicle brand and model ...

Mar 29, 2017 · In this paper we apply the bag of feature method to the car make and model recognition problem. By using a sparse coding technique we learn ...

In this study, image processing and machine learning techniques are used to classify vehicles in dedicated lanes.

Jul 16, 2017 · In original work, we had developed a. Vehicle Make and Model Recognition (VMMR) system using Bag of SIFT features and used Support Vector ...