  Detecting and tracking moving targets through foliage is difficult, and for
many cases even impossible in regular aerial images and videos. We present an
initial light-weight and drone-operated 1D camera array that supports parallel
synthetic aperture aerial imaging. Our main finding is that color anomaly
detection benefits significantly from image integration when compared to
conventional raw images or video frames (on average 97% vs. 42% in precision in
our field experiments). We demonstrate, that these two contributions can lead
to the detection and tracking of moving people through densely occluding
forest.
