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Proceedings Paper

Improving variance estimation ratio score calculation for slow moving point targets detection in infrared imagery sequences
Author(s): Revital Huber-Shalem; Ofer Hadar; Stanley R. Rotman; Merav Huber-Lerner; Stanislav Evstigneev
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Paper Abstract

Infrared (IR) imagery sequences are commonly used for detecting moving targets in the presence of evolving cloud clutter or background noise. This research focuses on slow moving point targets that are less than one pixel in size, such as aircraft at long ranges from a sensor. The target detection performance is measured via the variance estimation ratio score (VERS), which essentially calculates the pixel scores of the sequences, where a high score indicates a target is suspected to traverse the pixel. VERS uses two parameters – long and short term windows, which were predetermined individually for each movie, depending on the target velocity and on the clouds intensity and amount, as opposed to clear sky (noise), in the background. In this work, we examine the correlation between the sequences' spatial and temporal features and these two windows. In addition, we modify VERS calculation, to enhance target detection and decrease cloud-edge scores and false detection. We conclude this work by evaluating VERS as a detection measure, using its original version and its modified version. The test sequences are both original real IR sequences as well as their relative compressed sequences using our designated temporal DCT quantization method.

Paper Details

Date Published: 30 September 2013
PDF: 12 pages
Proc. SPIE 8857, Signal and Data Processing of Small Targets 2013, 885707 (30 September 2013); doi: 10.1117/12.2023681
Show Author Affiliations
Revital Huber-Shalem, Ben Gurion Univ. of the Negev (Israel)
Ofer Hadar, Ben Gurion Univ. of the Negev (Israel)
Stanley R. Rotman, Ben Gurion Univ. of the Negev (Israel)
Merav Huber-Lerner, Ben Gurion Univ. of the Negev (Israel)
Stanislav Evstigneev, Ben Gurion Univ. of the Negev (Israel)


Published in SPIE Proceedings Vol. 8857:
Signal and Data Processing of Small Targets 2013
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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