Paper Type |
: |
Research Paper |
Title |
: |
Night Time Vehicle Detection and Classification Using Support
Vector Machine |
Country |
: |
India |
Authors |
: |
Prof. V. B. Sutar, Dr. Mrs. L. S. Admuthe |
 |
: |
10.9790/4200-0140109  |
ABSTRACT:The paper presents a vehicle detection system by locating their headlights and tail lights in the
nighttime road environment. The system detects the vehicles light in front of a micro CCD camera assisted
vehicle i.e. oncoming & preceding vehicles. Our system automatically controls vehicle's head lights status
between low and high beams which avoids the glares for the drivers. The captured frames consist of number of
bright objects over dark background. These objects are due to vehicle lamps, road reflection etc. The captured
object features are used to train and classify the two classes of lights in vehicles light & other light source. The
machine learning based approach, Support Vector Machine (SVM) is used to accomplish this task. The output of
the SVM is simply the signed distance of the test instance from the separating hyperplane. The result show the
SVM is effective to classify number of lights and it is useful for vehicle validation.
Keywords:Computer vision, Driver Assistance, Image processing, Support Vector Machine, Vehicle detection.
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