Pixel-level Vibration Imaging for Flying Objects with Translational Slide Image Sequences

We propose a pixel-level vibration imaging method for high frame rate (HFR)-video-based localization of flying objects with large movement. When the ratio of the translation speed of a target to its vibration frequency is large, obtaining its frequency response in image intensities becomes difficult because one or no waves are observable at the same pixel. Our method can localize flying and moving objects with fllapping vibration frequency by virtually translating multiple image sequences for pixel-level short-time Fourier transform to observe multiple waves at the same pixel to estimate moving direction.