  The novel camera architecture facilitates the development of machine vision.
Instead of capturing frame sequences in the temporal domain as traditional
video cameras, FourierCam directly measures the pixel-wise temporal spectrum of
the video in single-shot through optical coding. Compared with the classic
video cameras and time-frequency transformation pipeline, this programmable
frequency-domain sampling strategy has an attractive combination of
characteristics for low detection bandwidth, low-light imaging, low
computational burden and low data volume. Based on the various temporal filter
kernel designed by FourierCam, we demonstrated a series of exciting machine
vision functions, such as video compression, background subtraction, object
extraction, and trajectory tracking.
