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Locating a moving target for an Underwater Wireless Sensor Network (UWSN) is a challenging task since traditional radio link based tracking methods can not be directly applied to the under water network. Underwater sensors use acoustic links for communication. Besides under the water, network architecture is also different from the traditional terrestrial WSN architecture. Replacement difficulty of...
This paper presents the multi-UAVs cooperative target observation and tracking considering the communication interference and the propagation loss. UAVs are assigned to the appropriate target group which maximises information defined by the Fisher information matrix (FIM). We propose multi-UAVs cooperative target optimal measurement and tracking models considering the communication factors. Using...
A preliminary framework for inferring continuous-time target trajectory (namely “track”) is given for a class of target tracking problems in which the target is subject to a rather smooth evolving process in time series, such as tracking passenger aircrafts or ships that have scheduled routes. As the core idea, the distant estimates given over time by a recursive estimator are ‘fitted’ by using a...
Target localization and tracking have the inseparable connection. On the one hand, localization is the basis of tracking. On the other hand, tracking can provide localization with prior information to correct the error of localization to some extent. At the same time, making the monitoring area be the grid area can let the localization and tracking system easy to be applied to different monitoring...
PRaVDA is an advanced imaging and dosimetry system for proton therapy with solid-state sensors throughout. The residual energy resolving detector (range telescope) can be composed of multiple layers of CMOS imagers. Such imagers, though operating at relatively low frame rates, can record many protons events per read cycle. The challenge is to identify the non-linear tracks of individual protons through...
This paper extends the smoothing algorithm based on integrated probabilistic data association to track multiple maneuvering targets by applying smoothing to joint integrated probabilistic data association (JIPDA). The proposed algorithm utilizes smoothing data association to obtain smoothing prediction which is needed to calculate the smoothing data association probabilities, the smoothing target...
The vulnerability of military installations and critical infrastructure sites from underwater threats is now well accepted and, in order to combat these security weaknesses, there has been growing interest in — and adoption of — sonar technology. Greater availability of Autonomous/Unmanned Underwater Vehicles (A/UUVs) to both adversary nations and terrorists/saboteurs is also a cause of increasing...
This paper discusses the role of computer vision to bridge the experiential gap between the cultural and emotional experience of the visitors in museums or cultural heritage sites. We don't argue against the use of multiple sensors to provide a more complete cultural experience but claim the primary role of computer vision for such a task. Although many research challenges are still far to be solved...
Combining measurements from different types of sensors has the potential to improve tracking performance. This is attributed to the diversity of information provided by the sensors on the state of the targets. Moreover, compressively acquiring measurements has the potential to enable the collection of measurements from high resolution sensors at low sampling rates. This can further improve tracking...
This paper regards a network of wireless passive sensors, suitable for radar applications. The network observes multiple number of target signals to be estimated. We propose an unbiased estimator whose error is minimized by optimizing both the power allocation at sensor nodes and the fusion coefficients at the fusion center. Since the underlying optimization problems are subject to both the individual...
Here we have discuss the network coverage of sensors nodes and proposed th+○8e algorithm for energy efficiency, target tracking and optimization. In WSN network for achieving the high energy efficiency we need to avoid long distance communication. We focus on distributed deployment optimization, With optimized sensor deployment, and while target tracking for the optimize energy consumption we can...
In this paper consensus based algorithms for distributed target tracking in large scale camera networks are discussed and a new adaptive algorithm is proposed. Camera networks are typically characterized by sparse communication and coverage topologies, as well as by the presence of multiple targets and clutter. The proposed algorithm (IPDA-ACF) is a result of the introduction of the probabilities...
Laser range finders are used in industrial safety and surveillance applications, e.g. to track persons. The relative position between two sensors is needed for the correct operation of such a system. In order to reduce costs, sensors are positioned to have minimal overlap while extending the combined field of view. The necessary calibration is often done in a time-consuming manual process. To automate...
Heel strikes from walking people generate impulses that propagate as Rayleigh waves that can be measured by seismic sensors. The time of arrival of these waves dependent upon both the location of the sensors and the propagation medium, which is usually not known. Hence, associating measured signals to an individual person is difficult. In this paper, we present two approaches for grouping the time...
This paper considers the problem of trajectory optimization for two platforms which perform bearings only tracking for multiple targets. It is not assumed that the measurements contain identifying features that enable measurements to be associated to targets. Therefore, ghost targets can appear, which strongly affect the resulting error. In comparison to existing approaches, we propose a trajectory...
We propose a multisensor method for tracking an unknown number of targets. Low computational complexity and very good scalability in the number of targets, number of sensors, and number of measurements per sensor are achieved by running a belief propagation (BP) message passing scheme on a suitably devised factor graph. Using a redundant formulation of data association uncertainty and “augmented target...
In this paper we introduce a new multilateration-based method for source localization. Sensors with known positions collect noisy signals whose strength depends on the relative position between the sensors and the source. A nonlinear system of equations is obtained which is then recast into a linearized least squares (LS) problem, which resembles a multilateration scenario. From the LS problem a low-complexity...
A cooperative track-before-detect algorithm for multiple ground targets is presented for fixed-wing Unmanned Air Vehicles (UAVs) with a finite field of view. The road network forms a graph whose nodes indicate the target likelihood ratio. Target observations are assimilated by a Bayesian likelihood ratio tracker in which likelihood diffuses according to the graph Laplacian of the road network. Using...
An effective sensor node placement in a Wireless Sensor Network (WSN) is one of the ways to provide a WSN with maximum coverage, maximum connectivity, minimum deployment cost and minimum energy consumption. Territorial Predator Scent Marking Algorithm (TPSMA) has been recently proposed by the authors. This paper presents an intruder detection system based on TPSMA. The performance of the TPSMA intruder...
Target Tracking issue in wireless sensor networks (WSNs) has gained much attention. Network lifetime and tracking accuracy are the important measurements for the target tracking mechanisms. However, most of approaches pursue one at the cost of the other. In some applications, the best tracking accuracy is not necessary to achieve if tracking quality is fixed by application users. This paper proposes...
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