Discrimination and tracking of dismounts using low-resolution aerial video sequences

Ranga Narayanaswami; Anastasia Tyurina; David Diel; Raman K. Mehra; Janice M. Chinn

doi:10.1117/12.893965

16 September 2011 Discrimination and tracking of dismounts using low-resolution aerial video sequences

Ranga Narayanaswami, Anastasia Tyurina, David Diel, Raman K. Mehra, Janice M. Chinn

Proceedings Volume 8137, Signal and Data Processing of Small Targets 2011; 81370H (2011) https://doi.org/10.1117/12.893965
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Ranga Narayanaswami, Anastasia Tyurina, David Diel, Raman K. Mehra, and Janice M. Chinn "Discrimination and tracking of dismounts using low-resolution aerial video sequences", Proc. SPIE 8137, Signal and Data Processing of Small Targets 2011, 81370H (16 September 2011); https://doi.org/10.1117/12.893965

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