Registration, detection, and tracking of moving targets in rotating barscan imagery

Hassan Beydoun; Arthur Forman; Jamie Cannon Perez; Abhijit Mahalanobis

doi:10.1117/12.666808

18 May 2006 Registration, detection, and tracking of moving targets in rotating barscan imagery

Hassan Beydoun, Arthur Forman, Jamie Cannon Perez, Abhijit Mahalanobis

Proceedings Volume 6234, Automatic Target Recognition XVI; 623414 (2006) https://doi.org/10.1117/12.666808
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

This document describes a method for automatically detecting moving targets in a sequence of wide area scan (WAS) infrared images, where the images may have non-linear geometric distortion from one frame to the next, the time between frames may be large (> 1 second), and the inter-frame motion of the targets may be large relative to the target size. The registration step aligns the images and overcomes the non-linear frame-to-frame geometric distortions. The change detection step detects moving objects in the difference image formed between pairs of registered frames. The final tracking step reduces false alarms and finds moving objects having positive or negative contrast even when the time between frames is large and the target motion between frames is large.

Citation Download Citation

Hassan Beydoun, Arthur Forman, Jamie Cannon Perez, and Abhijit Mahalanobis "Registration, detection, and tracking of moving targets in rotating barscan imagery", Proc. SPIE 6234, Automatic Target Recognition XVI, 623414 (18 May 2006); https://doi.org/10.1117/12.666808

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