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Published Articles >> Table of Contents >> Abstract
Eighth IEEE Workshop on Applications of Computer Vision (WACV'07)
p. 35
Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking
F. Bunyak, University of Missouri-Columbia
K. Palaniappan, University of Missouri-Columbia
S. K. Nath, University of Missouri-Columbia
G. Seetharaman, Air Force Institute of Technology
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WACV.2007.26
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| Abstract |
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Persistent object tracking in complex and adverse environments
can be improved by fusing information from multiple
sensors and sources. We present a new moving object
detection and tracking system that robustly fuses infrared
and visible video within a level set framework. We also introduce
the concept of the flux tensor as a generalization of
the 3D structure tensor for fast and reliable motion detection
without eigen-decomposition. The infrared flux tensor
provides a coarse segmentation that is less sensitive to illumination
variations and shadows. The Beltrami color metric
tensor is used to define a color edge stopping function
that is fused with the infrared edge stopping function based
on the grayscale structure tensor. The min fusion operator
combines salient contours in either the visible or infrared
video and drives the evolution of the multispectral geodesic
active contour to refine the coarse initial flux tensor motion
blobs. Multiple objects are tracked using correspondence
graphs and a cluster trajectory analysis module that
resolves incorrect merge events caused by under- segmentation
of neighboring objects or partial and full occlusions.
Long-term trajectories for object clusters are estimated using
Kalman filtering and watershed segmentation. We have
tested the persistent object tracking system for surveillance
applications and demonstrate that fusion of visible and infrared
video leads to significant improvements for occlusion
handling and disambiguating clustered groups of objects.
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 Additional Information
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Citation:
F. Bunyak, K. Palaniappan, S. K. Nath, G. Seetharaman,
"Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking,"
wacv,
p. 35,
Eighth IEEE Workshop on Applications of Computer Vision (WACV'07),
2007
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