Paper
17 May 2006 Hue-saturation-value feature analysis for robust ground moving target tracking in color aerial video
Virgil E. Zetterlind III, Stephen M. Matechik
Author Affiliations +
Abstract
Ground moving target tracking in aerial video presents a difficult algorithmic challenge due to sensor platform motion, non-uniform scene illumination, and other extended operating conditions. Theoretically, trackers which operate on color video should have improved performance vs. monochromatic trackers by leveraging the additional intensity channels. In this work, ground moving targets in color video are characterized in the Hue-Saturation-Value (HSV) color space. Using segmented real aerial video, HSV statistics are measured for multiple vehicle and background types and evaluated for separability and invariance to illumination change, obscuration, and aspect change. HSV statistics are then calculated for moving targets from the same video segmented with existing color tracking algorithms to determine HSV feature robustness to noisy segmentation.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Virgil E. Zetterlind III and Stephen M. Matechik "Hue-saturation-value feature analysis for robust ground moving target tracking in color aerial video", Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 62351E (17 May 2006); https://doi.org/10.1117/12.666728
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
RGB color model

Video

Silver

Unmanned aerial vehicles

Sensors

Statistical analysis

Image segmentation

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