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- W2126012042 abstract "Vehicle classification plays an important role in a variety of applications like surveillance, security system, traffic congestion avoidance and accidents prevention etc. However, this is difficult for computer vision to achieve due to variations in shapes and colors of vehicles. In this paper, we present a vision-based vehicle classification method, which has the capability of classifying a wide selection of vehicles. The vehicle classification method consists of two stages ‐ extraction of features using Gabor Filter and then classification using Support Vector Machine (SVM). The method shows good performance in operating on realistic standard data sets and also confirms robust to partial occlusions." @default.
- W2126012042 created "2016-06-24" @default.
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- W2126012042 date "2015-02-28" @default.
- W2126012042 modified "2023-09-27" @default.
- W2126012042 title "Artificial Intelligence and Applications" @default.
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- W2126012042 doi "https://doi.org/10.15764/aia.2015.01001" @default.
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