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In this paper we present a system for mobile augmented reality (AR) based on visual recognition. We split the tasks of recognizing an object and tracking it on the user's screen into a server-side and a client-side task, respectively. The capabilities of this hybrid client-server approach are demonstrated with a prototype application on the Android platform, which is able to augment both stationary...
This paper firstly introduced the basic idea of task requirement driven sensor management (TRDSM) and analyzed the task requirement of target tracking. Then, a new approach is proposed to deal with the multi-sensor management problem. The new method uses centralized management model to control sensors and the method comprehensively considers target priority and sensor usage cost. Then, sensors resource...
This paper discusses the tracking algorithms and approach used to control the tracking fluoroscope system. It is a mobile platform equipped with an on-board fluoroscope system to perform real-time imaging of human joints in motion: ankles, knees and hips. In order to record the natural and uninterrupted joint motion, the person has to be able to walk freely while being followed by the robot. It requires...
Sleep scheduling protocols are widely used in wireless sensor networks for saving energy in sensor nodes. However, without considering the special requirements of object tracking, conventional sleep scheduling protocols may lead to intolerable degradation of tracking qualities when they are used in object tracking applications. To handle this problem, sleep scheduling protocols tailed for object tracking...
Many sensor networks are deployed to detect and track intruders. If the existence and location of sensor nodes is disclosed to the opponent, the nodes can be easily disabled or compromised. Wireless transmissions in the presence of the opponent are an important source of disclosure. In this paper, we first describe a way to quantify the stealthiness of the sensor node, with a numerical stealthiness...
Besides sensing the environment variables, the application of localization in wireless sensor networks has became an important research subject. Unlike the other range-free localization schemes which are not effective in real time performance, we propose a real time algorithm, which determines the location of the moving object based on dynamically changing signal strength. The simulation results demonstrated...
The Network-Centric Exploitation and Tracking (N-CET) program is a research effort to enhance intelligence exploitation in a tactical environment by cross-cueing sensors and fusing data from on-board sources with processed information from off-board platforms and sharing the resulting products in a net-centric manner. At the core of N-CET are information management services that decouple data producers...
In this paper, the Wii remote (Wiimote) controller and a conventional video camera are used to perform real-time position tracking of an aerial vehicle. The combination of the Wiimote's infrared and video camera fields of view creates a virtual cube in which motion can be fully monitored. This controlled space allows a vehicle to navigate with no onboard sensors. The proposed approach is advantageous...
Adaptively monitoring the states of nodes in a large complex network is of interest in domains such as national security, public health, and energy grid management. Here, we present an information theoretic adaptive tracking and sampling framework that recursively selects measurements using the feedback from performing inference on a dynamic Bayesian Network. We also present conditions for the existence...
Driving assistance systems provide either safety or comfort functions. Such systems must evaluate the state of the world and take necessary actions. A preliminary step for evaluating the state of the world is to detect, track and classify scene objects. The classification step becomes especially important in complex urban traffic scenarios. In such scenarios the sensors of choice are vision based,...
With the recent improvements and cost reductions in GPS technology and wireless communication, telematics systems that integrate wireless communications with sensor-based monitoring and location aware applications have been widely deployed for mobile asset tracking and condition monitoring. In such telematics systems, mining patterns from GPS datasets and exploring the useful data for asset behaviors...
In a research project at the Reinhold-Wuerth-University in Kunzelsau, Germany, a new approach for logistic functions in production systems is investigated. Objects are thrown by throwing devices and captured by capturing devices. With this approach for the separation, transportation and commissioning of work pieces, tools, packaging etc. the features of high speeds, high flexibilities and the need...
This paper describes a cooperative testbed implementation of a new algorithm (Jin and Bertozzi, CDC 2007) for environmental boundary tracking and estimation using only localized noisy sensors. The tracking algorithm is based on Page's cumulative sum algorithm (CUSUM) a method for change-point detection. A geometric, biologically inspired, motion control algorithm allows individual vehicles to track...
This paper studies the problem of Hinfin output tracking control for continuous-time networked control systems (NCSs) with communication constraints. By using the continuous Jensen inequality, linear matrix inequality (LMI)-based Hinfin output tracking controller design for nominal NCSs with controller-to-actuator communication constraints is presented, and a new method is proposed to design Hinfin...
The main aim of this paper is the analysis and experimental evaluation of the performance of a photovoltaic power plant controlled by a dedicated algorithm. This is devoted to the search of the maximum power point during the energy conversion of the photovoltaic panels. The proposed approach uses a control strategy that does not requires the current sensing, which is a main cause of noises, errors...
We address the problem of tracking points in dense vector fields. Such vector fields may come from computational fluid dynamics simulations, environmental monitoring sensors, or dense point tracking of video data. To track points in vector fields, we capture the distribution of higher-order properties (e.g., properties derived from the gradient of the velocity vector field) in a novel local descriptor...
The use of unmanned vehicles in the field of underwater and marine applications is increasing significantly in recent years. Autonomous vehicles (like AUVs and gliders) or teleoperated ones (like ROVs) are currently employed for executing a number of different underwater tasks, like inspecting submerged pipes, executing maintenance interventions on underwater gas- or oil-platforms, collecting environmental...
This paper proposed a simple and novel approach for on-road object detection based on vision. Firstly, a simple method is applied to detect the interest pixels of object in images by the defined interest pixels function and a single strategy is applied to reduce the redundant computation in the process of computation gray mean of pixels in squared window; Secondly, all the detected interest pixels...
Variation in the number of targets and sensors needs to be addressed in any realistic sensor system. Targets may come in or out of a region or may suddenly stop emitting detectable signal. Sensors can be subject to failure for many reasons. We derive a tracking algorithm with a model that includes these variations using random finite set theory (RFST). RFST is a generalization of standard probability...
Tracking of movements such as that of people, animals, vehicles, or of phenomena such as fire, can be achieved by deploying a wireless sensor network. So far only prototype systems have been deployed and hence the issue of scale has not become critical. Real-life deployments, however, will be at large scale and achieving this scale will become prohibitively expensive if we require every point in the...
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