On the problem of distributed multi-sensor multi-target tracking, a new optimal assignment model on the basis of fuzzy data correlation is presented. The new algorithm calculates the fuzzy marginal correlation probability between measurement and target track by using fuzzy integrated similarity degree under multiple-to-multiple feasible rule, and determines the point-track correlation matches b...

This paper is based on the analysis and variation of multi target tracking algorithm which is based on kalman filter a digital filter. In this paper integrated random coefficient matrices kalman filtering is analysed with a mathematical model and used to reduce error and results are compared. KeywordsKalman Filtering, multi target tracking, integrated random coefficient matrices.

Successful multi-target tracking requires locating the targets and labeling their identities. This mission becomes significantly more challenging when many targets frequently interact with each other (present partial or complete occlusions). This paper presents an on-line supervised learning based method for tracking multiple interacting targets. When the targets do not interact with each other...

this paper is concerned with the consensus tracking problem of high order mimo nonlinear multi-agent systems. the agents must follow a leader node in presence of unknown dynamics and uncertain external disturbances. the communication network topology of agents is assumed to be a fixed undirected graph. a distributed adaptive control method is proposed to solve the consensus problem utilizing re...

This paper presents a flexible modeling framework for multi-target tracking based on the theory of Outer Probability Measures (OPMs). The notion labeled uncertain finite set is introduced and utilized as basis to derive possibilistic analog $\delta$-Generalized Labeled Multi-Bernoulli (<tex-math notation="LaT...

The proposed framework for Multi-Agent Target Tracking supports i) tracking of objects and ii) search and rescue based on the fusion of very heterogeneous data. The system is based on a novel approach to fusing sensory observations, intelligence and context data (i.e. the data about the environmental conditions relevant for the tracked target). In contrast to the traditional approaches to targe...