Results (1)
Search Parameters:
Keyword: Vehicle ClassificationOpen AccessArticle
6 Pages, 930 KB 
Support Vector Machine based Vehicle Make and Model Recognition System
Abstract:
Vehicle analysis is a very useful component in various real world applications. In this paper, we have developed a Vehicle Make and Model Recognition (VMMR) system using Support Vector Machine (SVM). Scale Invariant Feature Transform (SIFT) and Speed-Up Robust Transform (SURF) are used to extract local features from an image. Bag-of-Features (BoF) model is used…
Read More(This article belongs to the Special issue on Recent Advances in Engineering Systems 2017 & Section Interdisciplinary Applications of Computer Science (CSI))