8,782 Hits in 7.8 sec

Experimental Evaluation Of Simultaneous 3D Localization Of Sensor Nodes And Tracking Moving Targets

J. Gomes, Pinar Oguz Ekim, Paulo Oliveira, João Xavier
2012 Zenodo  
Publication in the conference proceedings of EUSIPCO, Bucharest, Romania, 2012  ...  INTRODUCTION This paper addresses the problem of tracking a moving device while localizing the sensor nodes of a Crossbow Cricket location system.  ...  It is demonstrated experimentally that the proposed scheme can track a target and localize sensors to within about 4 cm accuracy in a 3D indoor environment using mixed ultrasound-RF ranging.  ... 
doi:10.5281/zenodo.42920 fatcat:5asmosd4ubfnzhqu3i6lo4j6r4

A Fault-Tolerant Distributed Vision System Architecture for Object Tracking in a Smart Room [chapter]

Deepak R. Karuppiah, Zhigang Zhu, Prashant Shenoy, Edward M. Riseman
2001 Lecture Notes in Computer Science  
For example, one of the cameras may have a hardware failure or it may lose the target, which moved away from its field of view.  ...  a common goal, say tracking of multiple human subjects and mobile robots in an indoor smart environment.  ...  Roderic Grupen -for their involvement in the development of this research. We would also like to thank Yuichi Kikuchi for his contribution to the development of the Pan-Tilt-Zoom sensor node.  ... 
doi:10.1007/3-540-48222-9_14 fatcat:2gw5rpanqjei5binvst6hxe6ru

A distributed heterogeneous sensor network for tracking and monitoring

Antonio Petitti, Donato Di Paola, Annalisa Milella, Pier Luigi Mazzeo, Paolo Spagnolo, Grazia Cicirelli, Giovanni Attolico
2013 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance  
The nodes can both act with some degree of autonomy and cooperate with each other.  ...  validate the distributed target tracking algorithm. 978-1-4799-0703-8/13/$31.00 ©2013 IEEE  ...  Acknowledgements This research is supported by the National Research Program PON-BAITAH -"Methodology and Instruments of Building Automation and Information Technology for pervasive models of treatment  ... 
doi:10.1109/avss.2013.6636677 dblp:conf/avss/PetittiPMMSCA13 fatcat:jvpb3ld3inhx5lmeaj6b7pupq4

Simultaneous localization, calibration, and tracking in an ad hoc sensor network

Christopher Taylor, Ali Rahimi, Jonathan Bachrach, Howard Shrobe, Anthony Grue
2006 Proceedings of the fifth international conference on Information processing in sensor networks - IPSN '06  
We introduce Simultaneous Localization and Tracking, called SLAT, the problem of tracking a target in a sensor network while simultaneously localizing and calibrating the nodes of the network.  ...  Our proposed solution, LaSLAT, is a Bayesian filter that provides on-line probabilistic estimates of sensor locations and target tracks.  ...  In this paper, we show how to track the position of an unconstrained target while localizing and calibrating the sensor nodes.  ... 
doi:10.1145/1127777.1127785 dblp:conf/ipsn/TaylorRBSG06 fatcat:wxg3qpkpbfguvgkf4nmdw352lq

Simultaneous localization, calibration, and tracking in an ad hoc sensor network

C. Taylor, A. Rahimi, J. Bachrach, H. Shrobe, A. Grue
2006 2006 5th International Conference on Information Processing in Sensor Networks  
We introduce Simultaneous Localization and Tracking, called SLAT, the problem of tracking a target in a sensor network while simultaneously localizing and calibrating the nodes of the network.  ...  Our proposed solution, LaSLAT, is a Bayesian filter that provides on-line probabilistic estimates of sensor locations and target tracks.  ...  In this paper, we show how to track the position of an unconstrained target while localizing and calibrating the sensor nodes.  ... 
doi:10.1109/ipsn.2006.244053 fatcat:z3iic2yhyrcqrhnu27tphn23pe

Landscape-3D; A Robust Localization Scheme for Sensor Networks over Complex 3D Terrains

Liqiang Zhang, Xiaobo Zhou, Qiang Cheng
2006 Local Computer Networks (LCN), Proceedings of the IEEE Conference on  
In the paper, we introduce a robust 3D localization solution called Landscape-3D, in which we treat the localization problem from a novel perspective by taking it as a functional dual of target tracking  ...  Despite the fact that sensor networks could often be deployed over three-dimensional (3D) terrains, most approaches on sensor localizations are designed and evaluated considering only two-dimensional (  ...  Traditional target tracking solutions utilize one or more static location-aware sensors to track and predict the position (and/or speed) of a moving target.  ... 
doi:10.1109/lcn.2006.322106 dblp:conf/lcn/ZhangZC06 fatcat:lmsuacfq5ncgtcsytitv6onrku

Detection, classification and tracking of moving objects in a 3D environment

Asma Azim, Olivier Aycard
2012 2012 IEEE Intelligent Vehicles Symposium  
In this paper, we present a framework based on 3D range data to solve the problem of simultaneous localization and mapping (SLAM) with detection and tracking of moving objects (DATMO) in dynamic environments  ...  The proposed method for the discrimination between moving and stationary objects without a priori knowledge of the targets is the main contribution of this paper.  ...  It is usually divided into two subtasks: simultaneous localization and mapping (SLAM) and detection and tracking of moving objects (DATMO).  ... 
doi:10.1109/ivs.2012.6232303 dblp:conf/ivs/AzimA12 fatcat:7zcceildkfdmzc2km4rdobz6ga

Experiments with Underwater Robot Localization and Tracking

Peter Corke, Carrick Detweiler, Matthew Dunbabin, Michael Hamilton, Daniela Rus, Iuliu Vasilescu
2007 Engineering of Complex Computer Systems (ICECCS), Proceedings of the IEEE International Conference on  
The first method is based on a geometric approach in which a mobile node moves within a field of static nodes, and all nodes are capable of estimating the range to their neighbours acoustically.  ...  We also present experimental results comparing acoustic localization with GPS for surface operation, and a comparison of acoustic and visual methods for underwater operation.  ...  We are grateful to Neil Davies and Frank Murphy for their local support.  ... 
doi:10.1109/robot.2007.364181 dblp:conf/icra/CorkeDDHRV07 fatcat:ldndzxlpj5frnf2xfr3qnppbha

Signal Processing Advances in Robots and Autonomy

Frank Ehlers, Fredrik Gustafsson, Matthijs Spaan
2009 EURASIP Journal on Advances in Signal Processing  
Acknowledgment The guest editors of this special issue are much indebted to their authors and reviewers, who put a tremendous amount of effort and dedication to make this issue a reality.  ...  with onboard sensors to improve tracking of multiple ground targets.  ...  Experimental results show that the robot with the proposed algorithm can localize itself and track the frequently occluded object.  ... 
doi:10.1155/2009/948716 fatcat:kwwtttqrhvdgfo5lmgvptw4kne

Design and implementation of a robust and real-time ultrasonic motion-capture system

Tomohiko Sato, Shigeki Nakamura, Kotaro Terabayashi, Masanori Sugimoto, Hiromichi Hashizume
2011 2011 International Conference on Indoor Positioning and Indoor Navigation  
To design and implement the system, a distance-estimation method called the Extended Phase Accordance Method (EPAM), which can measure the distance to a moving object with a standard deviation of less  ...  It can work at 10 frames per second (fps), with an error of less than 54 mm and a standard deviation of 42 mm.  ...  However, if there is even one obstacle between a target object and one of the three measuring nodes, with line of sight between them not being guaranteed, we cannot estimate the 3D position of the target  ... 
doi:10.1109/ipin.2011.6071907 dblp:conf/ipin/SatoNTSH11 fatcat:juufgqbpg5bnlgdbcod5wm3xby

Growing neural gas for intelligent robot vision with range imaging camera

Hironobu Sasaki, Toshio Fukuda, Masashi Satomi, Naoyuki Kubota
2009 2009 International Conference on Mechatronics and Automation  
We propose a method for perceive moving target by using growing neural gas and Genetic algorithm. In the experimental results, we show the potency of our method.  ...  In this paper, we discuss a intelligent robot vision in order to perceive people and the environment. We use the range imaging camera to detect distance and image data.  ...  So if we wont to get the 3 dimensional distance data, we have to move or rotate these sensors. In general, these kind of sensors are uses for mapping or localize ones position. B.  ... 
doi:10.1109/icma.2009.5246241 fatcat:7lqe3syubvfmtoxacenpkmpipa

A Distributed Many-Camera System for Multi-person Tracking [chapter]

Claus Lenz, Thorsten Röder, Martin Eggers, Sikandar Amin, Thomas Kisler, Bernd Radig, Giorgio Panin, Alois Knoll
2010 Lecture Notes in Computer Science  
The unique scale and set-up of the system require novel approaches for vision-based tracking, especially with respect to the transfer of targets between the different tracking processes while preserving  ...  We propose an integrated approach to cope with these challenges, and focus on the system architecture, the target information management, the calibration of the cameras and the applied tracking methodologies  ...  Acknowledgements This work was partly supported by the cluster of excellence CoTeSys -Cognition for Technical System ( within the projects ITrackU -Image-based Tracking and Understanding  ... 
doi:10.1007/978-3-642-16917-5_22 fatcat:gdkm27rcsrgyfo7bf2f4nrgq4e

Target tracking using SIR and MCMC particle filters by multiple cameras and laser range finders

R. Kurazume, H. Yamada, K. Murakami, Y. Iwashita, T. Hasegawa
2008 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Simultaneous tracking experiments for multiple moving targets are successfully carried out and it is verified that the combined particle filters has higher performance than the conventional particle filters  ...  in terms of the number of particles, the processing speed, and the tracking performance for multiple targets.  ...  ACKNOWLEDGMENT This research was supported in part by the Ministry of Education, Science, Sports and Culture, through a Grant-in-Aid for Scientific Research (B) (No.19360119).  ... 
doi:10.1109/iros.2008.4650634 dblp:conf/iros/KurazumeYMIH08 fatcat:655b4bpi3nfdrbssdtxhipf4mu

Distributed object tracking with robot and disjoint camera networks

Junbin Liu, Tim Wark, Steven Martin, Peter Corke, Matthew D'Souza
2011 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)  
In order to evaluate the localization performance of the camera network against ground truth data, the same robot was used as the tracking target.  ...  SPARSE OBJECT TRACKING A particle filtering process is used to track the current position of the robot node using the target location estimated by the camera nodes and the derived floor-plan map of the  ... 
doi:10.1109/percomw.2011.5766911 dblp:conf/percom/LiuWMCD11 fatcat:gdtesrtvgzeqnhgj43vz4aaqce

3D Deployment Problem in Wireless Sensor Networks resolved by Genetic and Ant Colony Algorithms

Sami MNASRI, Nejah NASRI, Malek ALRASHIDI, Thierry val
2020 2020 International Conference on Computing and Information Technology (ICCIT-1441)  
On this article, we discuss the 3D node positioning problem, while minimizing the global number of sensors, the consumption levels of energy, and maximizing the covered area and the hybrid localization  ...  Deploying sensors is a decisive operation that greatly influences the performance and the functioning of the network.  ...  A "nomad" node is attached to a moving target. -For the k-coverage case, the localized target should be in the range of k anchors or more.  ... 
doi:10.1109/iccit-144147971.2020.9213803 fatcat:d5zp2hzaoze5xodjm3yoa2euna
« Previous Showing results 1 — 15 out of 8,782 results