Algorithms for tracking point targets in infrared sequences

摘要

This research addresses the problem of tracking a moving point target from a time sequence of images. The images consist of targets moving at sub-pixel velocity in backgrounds which are influenced by both evolving clutter and noise. The demand for a low false alarm rate on one hand and a high probability of detection on the other makes the tracking a challenging task. We propose the following algorithm in which target detection and tracking is performed by the means of time domain processing. A variance-filter based algorithm is used to detect the presence of targets from the temporal profile of each pixel while suppressing clutter specific influences.