Recursive expectation-maximization (EM) algorithms for time-varying parameters with applications to multiple target tracking
نویسندگان
چکیده
We investigate the application of expectationmaximization (EM) algorithms to the classical problem of multiple target tracking (MTT) for a known number of targets. Conventional algorithms, which deal with this problem, have a computational complexity that depends exponentially on the number of targets, and usually divide the problem into a localization stage and a tracking stage. The new algorithms achieve a linear dependency and integrate these two stages. Three optimization criteria are proposed, using deterministic and stochastic dynamic models for the targets.
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ورودعنوان ژورنال:
- IEEE Trans. Signal Processing
دوره 47 شماره
صفحات -
تاریخ انتشار 1999