Performance-modeling-based adaptive target tracking in multiscenario environment

摘要

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.!6