Object Tracking and Track Analytics from Overhead Video with Deep Learning
, Expedition Technology
We will present on how Expedition Technology has developed a set of deep learning algorithms used for change detection, tracking, and track analytics, including anomaly detection and activity recognition from overhead imagery. Our trained 3-frame change detection algorithm utilizes a convolutional network whose outputs serve as seed points for an object tracker that robustly handles non-trivial motions (e.g. move-stop-move), object obscuration, and low SNR scenarios without requiring background subtraction. The tracker utilizes a Siamese network-based deep learning architecture and learns features of the object of interest to strengthen track consistency through obscuration and over long tracks.