A distributed multirate IMM algorithm for multiplatform tracking
نویسندگان
چکیده
منابع مشابه
S-IMM: Switched IMM Algorithm for Maneuvering Target Tracking
For maneuvering target tracking problem, interacting multiple model (IMM) algorithm performs better than single model algorithm, however, it also has some shortcomings. This study is devoted to propose a high accurate IMM algorithm. An improved IMM algorithm, named Switched IMM(S-IMM), is proposed. The S-IMM algorithm consists of two independent IMM filters with different model sets, CV(constan...
متن کاملGA-JPDA-IMM-PF Algorithm for Tracking Highly Maneuvering Targets
In this paper, we present an interesting filtering algorithm to perform accurate estimation in jump Markov nonlinear systems, in case of multi-target tracking. With this paper, we aim to contribute in solving the problem of modelbased body motion estimation by using data coming from visual sensors. The Interacting Multiple Model (IMM) algorithm is specially designed to track accurately targets ...
متن کاملIMM Algorithm Using Intelligent Input Estimation for Maneuvering Target Tracking
A new interacting multiple model (IMM) algorithm using intelligent input estimation (IIE) is proposed for maneuvering target tracking. In the proposed method, the acceleration level for each sub-model is determined by IIE-the estimation of the unknown target acceleration by a fuzzy system using the relation between the residuals of the maneuvering filter and the non-maneuvering filter. The gene...
متن کاملA Distributed Multiplatform Architecture For Traffic Generation
This paper deals with the specification and realization of a synthetic traffic generator for IP traffic, called D-ITG (Distributed Internet Traffic Generator). We point our attention on the innovative architectural choices and the consequent interesting results. Indeed, thanks to the novel proposed distributed architecture, D-ITG reaches the highest performance over all the considered platforms...
متن کاملVisual tracking and motion determination using the IMM algorithm
In this paper we present a feature tracking system with automatic motion determination of features in an image sequence. The positions of features (corners) extracted in the first frame of a sequence are estimated and predicted in the subsequent frames by using an extension of Bayesian multiple hypothesis technique (MHT [2]) based on different motion models. The tracking of features is based on...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical and Computer Modelling
سال: 2000
ISSN: 0895-7177
DOI: 10.1016/s0895-7177(00)00193-x