Artificial Intelligence and Applications
| Autor: | Mohammad Shorif Uddin, Liton Jude Rozario, Mohammad Reduanul Haque |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Engineering
business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition General Medicine Support vector machine ComputingMethodologies_PATTERNRECOGNITION Gabor filter Traffic congestion Classification methods Computer vision Accidents prevention Artificial intelligence business Security system Selection (genetic algorithm) |
| Zdroj: | Artificial Intelligence and Applications. 2015:1-7 |
| ISSN: | 2374-4987 2374-4979 |
| DOI: | 10.15764/aia.2015.01001 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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