Performance-modeling-based adaptive target tracking in multiscenario environment

Chuan Zhou; Guilin Zhang; Jiaxiong Pen

doi:10.1117/12.241141

24 May 1996 Performance-modeling-based adaptive target tracking in multiscenario environment

Chuan Zhou, Guilin Zhang, Jiaxiong Pen

Proceedings Volume 2756, Automatic Object Recognition VI; (1996) https://doi.org/10.1117/12.241141
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Chuan Zhou, Guilin Zhang, and Jiaxiong Pen "Performance-modeling-based adaptive target tracking in multiscenario environment", Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); https://doi.org/10.1117/12.241141

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