Articles

Robust object tracking in compressed image sequences

[+] Author Affiliations
Fernando Mujica

Georgia Institute of Technology, School of Electrical Engineering, Center for Signal and Image Processing, Atlanta, Georgia

Romain Murenzi

Clark Atlanta University, Department of Physics, Center for Theoretical Studies of Physical Systems, Atlanta, Georgia

Mark J. T. Smith

Georgia Institute of Technology, School of Electrical Engineering, Center for Signal and Sound Processing, Atlanta, Georgia

Jean-Pierre Leduc

Washington University, Mathematics Department, Saint Louis, Missouri

J. Electron. Imaging. 7(4), 746-754 (Oct 01, 1998). doi:10.1117/1.482661
History: Received Apr. 14, 1998; Revised July 10, 1998; Accepted Aug. 10, 1998
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Abstract

Accurate object tracking is important in defense applications where an interceptor missile must hone into a target and track it through the pursuit until the strike occurs. The expense associated with an interceptor missile can be reduced through a distributed processing arrangement where the computing platform on which the tracking algorithm is run resides on the ground, and the interceptor need only carry the sensor and communications equipment as part of its electronics complement. In this arrangement, the sensor images are compressed, transmitted to the ground, and decompressed to facilitate real-time downloading of the data over available bandlimited channels. The tracking algorithm is run on a ground-based computer while tracking results are transmitted back to the interceptor as soon as they become available. Compression and transmission in this scenario introduce distortion. If severe, these distortions can lead to erroneous tracking results. As a consequence, tracking algorithms employed for this purpose must be robust to compression distortions. In this paper we introduced a robust object tracking algorithm based on the continuous wavelet transform. The algorithm processes image sequence data on a frame-by-frame basis, implicitly taking advantage of temporal history and spatial frame filtering to reduce the impact of compression artifacts. Test results show that tracking performance can be maintained at low transmission bit rates and can be used reliably in conjunction with many well-known image compression algorithms. © 1998 SPIE and IS&T.

© 1998 SPIE and IS&T

Citation

Fernando Mujica ; Romain Murenzi ; Mark J. T. Smith and Jean-Pierre Leduc
"Robust object tracking in compressed image sequences", J. Electron. Imaging. 7(4), 746-754 (Oct 01, 1998). ; http://dx.doi.org/10.1117/1.482661


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