Abstract
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.
Original language | English |
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Article number | 59870W |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5987 |
DOIs | |
State | Published - 1 Dec 2005 |
Event | Electro-Optical and Infrared Systems: Technology and Applications II - Bruges, Belgium Duration: 26 Sep 2005 → 27 Sep 2005 |
Keywords
- Clutter suppression
- Metrics
- Temporal filters
- Tracking point targets
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering