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Proceedings Paper

Discrimination and tracking of dismounts using low-resolution aerial video sequences
Author(s): Ranga Narayanaswami; Anastasia Tyurina; David Diel; Raman K. Mehra; Janice M. Chinn
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Paper Abstract

In this paper, we address the problem of robust detection of dismounts from low-resolution video data sequences. We outline a methodology based on SSCI's ultra-fast image alignment algorithm, and a combination of static and kinematic features for dismount detection. We perform the dismount detection classification using a learning classifier algorithm. Our results are promising and very valuable for low-resolution imagery where previous techniques for dismount detection such as SURF and SIFT features do not perform very well.

Paper Details

Date Published: 17 September 2011
PDF: 16 pages
Proc. SPIE 8137, Signal and Data Processing of Small Targets 2011, 81370H (17 September 2011); doi: 10.1117/12.893965
Show Author Affiliations
Ranga Narayanaswami, Scientific Systems Co., Inc. (United States)
Anastasia Tyurina, Scientific Systems Co., Inc. (United States)
David Diel, Scientific Systems Co., Inc. (United States)
Raman K. Mehra, Scientific Systems Co., Inc. (United States)
Janice M. Chinn, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 8137:
Signal and Data Processing of Small Targets 2011
Oliver E. Drummond, Editor(s)

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