Wireless sensor networks produce a large amount of data that needs to be processed,
delivered, and assessed according to the application objectives. The way these data are …

This paper presents a new solution for multi-target tracking over a network of sensors with
limited spatial coverage. The proposed solution is based on the centralized data fusion …

In this paper, we consider a time-varying optimization approach to the problem of tracking a
moving target using noisy time-of-arrival (TOA) measurements. Specifically, we formulate the …

This paper describes a fusion of panoramic vision and laser range data to track multiple
persons simultaneously from a stationary robot. Particle filters are used to track people in the …

In many cases, the multi-target tracking system is essential for realizing the current state of
an environment. The standard multi-target tracking algorithms assume that each target state …

The use of online algorithms to track a moving target is gaining attention in the control
community for its simpler and faster computation. In this work, we study the dynamic regret of …

Este trabalho oferece uma discussão geral sobre o tema de fusão de dados em redes de
sensores sem fio (RSSFs) que permite:(i) a identificação de problemas em aberto e (ii) o …

Objectives: An algorithm should be generate d for Resource discovery in Wireless Dynamic
Sensors that improves operation level of wireless nodes in sensing and sending information …

In order to solve the problem that particle swarm optimization (PSO) tends to fall into the
local optimal solution and the convergence speed is slow when solving multi-sensor …

It is the general perception that models describing human motion patterns enhance tracking
even with long term occlusions. One effective way of learning such patterns is to use …