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Research Paper | Computer Science and Information Technology | India | Volume 13 Issue 8, August 2024 | Popularity: 5.5 / 10

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Night Time Vehicle Detection Using Machine Learning

Syeda Aamina Khadri, Dr. S. Ramacharan

Abstract: Monitoring traffic using camera networks is crucial, especially at night when visibility decreases and accident risks rise. Existing methods often struggle with the erratic nature of vehicle lights in low - light conditions, where lights appear as flashes or complex patterns across disconnected image regions. This study introduces a real - time vehicle detection algorithm designed for night time scenarios, leveraging machine learning with a grid of foveal classifiers. These classifiers use a single global image descriptor to predict vehicle locations based on their positions within the grid and ground - truth data. By requiring only point - based annotations for training, the algorithm accelerates database creation. Experimental validation on a new nighttime dataset demonstrates the effectiveness of this approach in accurately detecting vehicles under challenging lighting conditions.

Keywords: Databases, Vehicle detection, Real - time systems, Lighting, Annotations, Cameras

Edition: Volume 13 Issue 8, August 2024

Pages: 1160 - 1164

DOI: https://www.doi.org/10.21275/SR24817100208

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