Hue-saturation-value Feature Analysis for Robust Ground Moving Target Tracking in Color Aerial Video
April 2006
Virgil E. Zetterlind III, The MITRE Corporation
Stephen M. Matechik, The MITRE Corporation
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.
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