A Study of Partial Image Classification of Vehicles Using Finger Gestures

Abstract

There have been many studies done to recognize types of vehicles or license plates by image analysis. However, there have not been many studies conducted to determine the components of a vehicle using partial images of the vehicle. To efficiently analyze the components using partial images of vehicles, we added meta information about the state of the vehicle and partial images using specific gestures when recording the images. Finally, we propose a method to classify images with partial images of vehicles automatically.