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Proceedings Paper

Performance-modeling-based adaptive target tracking in multiscenario environment
Author(s): Chuan Zhou; Guilin Zhang; Jiaxiong Pen
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Paper Abstract

An adaptive scheme is introduced to detect and track moving targets under multiscenario environment including target in complex background, target is partial obstructed and multi- target or multi-bait. The performance modeling is important to do with the fact that it can enhance the ability to predict the target tracking system performance in scenarios where data is not available. A critical use of performance models is selecting proper algorithms and adaptation of algorithm parameters to meet different scenarios' changes. The performance model is built at algorithm level instead of system level. For each algorithm, its performance model was built based upon experimental design. Some image metrics are employed to describe scene variation, and integrated into performance model. In our experiments, with the controls of adaptive controller of our system based on algorithm performance model and expert knowledge, system can select proper algorithms, tune algorithm parameters, and target was tracked perfectly in total 400 frames.

Paper Details

Date Published: 24 May 1996
PDF: 9 pages
Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); doi: 10.1117/12.241141
Show Author Affiliations
Chuan Zhou, Huazhong Univ. of Science and Technology (China)
Guilin Zhang, Huazhong Univ. of Science and Technology (China)
Jiaxiong Pen, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 2756:
Automatic Object Recognition VI
Firooz A. Sadjadi, Editor(s)

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