Transfer learning for vehicle detection using two cameras with different focal lengths

This paper proposes a vehicle detection method using transfer learning for two cameras with different focal lengths. A detected vehicle region in an image of one camera is transformed into a binary map. After that, the map is used to filter null convolutional neural network null null null (CNN) feature maps which are computed for the other camera’s image. We also introduce a robust null evolutionary algorithm null that is used to compute the...