检索结果-内蒙古大学图书馆

4th International Conference on sensor networks (sensorNETS)

作者： Schranz, Melanie Rinner, Bernhard Alpen Adria Univ Klagenfurt Inst Networked & Embeddod Syst Klagenfurt Austria

ISBN: (纸本)9789897580864

Generally, resource-awareness plays a key role in wireless sensor networks- due the limited capabilities in processing, storage and communication. In this paper we present a resource-aware cooperative state estimation facilitated by a dynamic cluster-based protocol in a visual sensor network (VSN). The VSN consists of smart cameras. which process and analyze the captured data locally. We apply a state estimation algorithm to improve the tracking results of the cameras. To design a lightweight protocol, the final aggregation of the observations and state estimation are only performed by the cluster head. Our protocol is based on a market-based approach in which the cluster head is elected based-on-the available resources and a visibility parameter of the object gained by the cluster members. We show in simulations that our approach reduces the costs for state estimation and communication as compared to a fully distributed approach. As resource-awareness is the focus of the cluster-based protocol we can accept a slight degradation of the accuracy on the object's state estimation by a standard deviation of about 1.48 length units to the available ground truth.

关键词： visual sensor network Resource Distribution Wireless Communication Negotiation Theory Decentralized Processing

来源：评论

学校读者我要写书评

暂无评论

Collaborative Occupancy Reasoning in visual sensor network for Scalable Smart Video Surveillance

引用

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2010年第3期56卷 1997-2003页

作者： Cho, Yongil Lim, Sang Ok Yang, Hyun Seung Korea Adv Inst Sci & Technol Dept Comp Sci Taejon 305701 South Korea

Video surveillance is a popular consumer application that is used for various purposes such as public safety, facilities surveillance, and traffic monitoring. In a general video surveillance system, video streams from cameras are sent to a control center and operators monitor the videos. But human operator monitoring of the views every moment of every day is almost impossible;so, smart surveillance systems are required, systems that are capable of automated scene analysis. There are a number of studies to enable smart video surveillance in a multi-camera network. Most of the studies, however, treat central processing approaches in which a scene analysis is processed inside a central server domain once all available information has been collected in the server. Such approaches require tremendous efforts in building the system and, moreover, limit the scalability. To accomplish scalable smart video surveillance, an inference framework in visual sensor networks is necessary, one in which autonomous scene analysis is performed via distributed and collaborative processing among camera nodes without necessity for a high performance server. In this paper, we propose a collaborative inference framework for visual sensor networks and an efficient occupancy reasoning algorithm that is essential in smart video surveillance based on the framework. We estimate the existence probabilities for every camera and combine them using the work-tree architecture in a distributed and collaborative manner. We aim for practical smart video surveillance systems(1).

关键词： Smart Video Surveillance Distributed Inference visual sensor network Occupancy Reasoning

来源：评论

学校读者我要写书评

暂无评论

Self-calibration in visual sensor networks equipped with RGB-D cameras 40

Self-calibration in visual sensor networks equipped with RGB...

引用

40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Wang, Xiaoqin Sekercioglu, Y. Ahmet Drummond, Tom ARC Centre of Excellence for Robotic Vision Monash University Australia

ISBN: (纸本)9781467369978

We consider the self-calibration problem (estimation of location and orientation of multiple camera sensors), in visual sensor networks equipped with RGB-D cameras. We propose two algorithms based on feature matching and relative pose estimation. First one uses Floyd-Warshall algorithm, and can accurately estimate the camera locations. On the other hand, the second algorithm is more scalable than the first one, and can be used in large networks if high accuracy is not an issue. Numerical results demonstrate that both algorithms, depending on the network topology, can be used for self-calibration in RGB-D equipped visual sensor networks. © 2015 IEEE.

关键词： RGB-D camera Self-calibration visual sensor network

来源：评论

学校读者我要写书评

暂无评论

WiseNET - smart camera network interacting with a semantic model: PhD Forum 16

WiseNET - smart camera network interacting with a semantic m...

引用

Proceedings of the 10th International Conference on Distributed Smart Camera

作者： Roberto Marroquin Julien Dubois Christophe Nicolle Laboratory Le2i - UMR CNRS University of Burgundy Franche-Comté France

ISBN: (纸本)9781450347860

This paper presents an innovative concept for a distributed system that combines a smart camera network with semantic reasoning. The proposed system is context sensitive and combines the information extracted by the smart camera with logic rules and knowledge of what the camera observes, building information and events that may occurred. The proposed system is a justification for the use of smart cameras, and it can improve the classical visual sensor networks (VSN) and enhance the standard computer vision approach. The main application of our system is smart building management, where we specifically focus on increasing the services of the building users.

关键词： visual sensor network semantic gap knowledge engineering event detection Building information modeling

来源：评论

学校读者我要写书评

暂无评论

Game-theoretic solutions through intelligent optimization for efficient resource management in wireless visual sensor networks

引用

SIGNAL PROCESSING-IMAGE COMMUNICATION 2014年第4期29卷 472-493页

作者： Pandremmenou, Katerina Kondi, Lisimachos P. Parsopoulos, Konstantinos E. Bentley, Elizabeth S. Univ Ioannina Dept Comp Sci & Engn GR-45110 Ioannina Greece Air Force Res Lab Rome Italy

We propose a quality-driven cross-layer optimization scheme for wireless direct sequence code division multiple access (DS-CDMA) visual sensor networks (VSNs). The scheme takes into account the fact that different nodes image videos with varying amounts of motion and determines the source coding rate, channel coding rate, and power level for each node under constraints on the available bit rate and power. The objective is to maximize the quality of the video received by the centralized control unit (CCU) from each node. However, since increasing the power level of one node will lead to increased interference with the rest of the nodes, simultaneous maximization of the video qualities of all nodes is not possible. In fact, there are an infinite number of Pareto-optimal solutions. Thus, we propose the use of the Nash bargaining solution (NBS), which pinpoints one of the infinite Pareto-optimal solutions, based on the stipulation that the solution should satisfy four fairness axioms. The NBS results in a mixed-integer optimization problem, which is solved using the particle swarm optimization (PSO) algorithm. The presented experimental results demonstrate the advantages of the NBS compared with alternative optimization criteria. (c) 2014 Elsevier B.V. All rights reserved.

关键词： Bargaining powers Game theory Nash bargaining solution Particle swarm optimization Resource allocation visual sensor network

来源：评论

学校读者我要写书评

暂无评论

Discrete Cosine Transform based fusion of multi-focus images for visual sensor networks

引用

SIGNAL PROCESSING 2014年 95卷 161-170页

作者： Phamila, Y. Asnath Victy Amutha, R. Anna Univ SSN Coll Engn Madras 600025 Tamil Nadu India

This paper presents a simple and efficient multi-focus image fusion scheme explicitly designed for wireless visual sensor systems equipped with resource constrained, battery powered image sensors employed in surveillance, hazardous environment like battlefields etc. Here the fusion of multi-focus images is based on higher valued Alternating Current (AC) coefficients calculated in Discrete Cosine Transform (DCT) domain. The proposed method overcomes the computation and energy limitation of low power devices and is investigated in terms of image quality and computation energy. Simulations are performed using Atmel Atmega128 processor of Mica 2 mote to measure the resultant energy savings. The experimental results verify the significant efficiency improvement of the proposed method in output quality and energy consumption, when compared with other fusion techniques in DCT domain. (C) 2013 Elsevier B.V. All rights reserved.

关键词： Image fusion Discrete Cosine Transform visual sensor network Fusion metrics

来源：评论

学校读者我要写书评

暂无评论

Multi-phase Joint Reconstruction Framework for Multi-view Video Compression using Block-based Compressive Sensing

Multi-phase Joint Reconstruction Framework for Multi-view Vi...

引用

IEEE visual Communications and Image Processing (VCIP) Conference

作者： Ebrahim, Mansoor Chai, Wai Chong Sunway Univ Fac Sci & Technol Subang Jaya Selangor Malaysia

ISBN: (纸本)9781467373142

The video captured by different visual sensor in a visual sensor network is first compressed using the block-based compressive sensing algorithm. All the videos are encoded independently at different sub-rates and transmitted to a host workstation for reconstruction. Then, the proposed multi-phase joint reconstruction framework is applied to improve the reconstruction of lower subrate videos. In this case, frames extracted from higher subrate videos are used to produce some side information, which serve as prediction of the counterpart frames in lower subrate videos. Next, the difference between them at the measurement level is calculated. The difference is then added to the prediction to obtain the final reconstruction. The experimental results show that the proposed framework is able to outperform the other frameworks on average by a margin of 1dB to 2dB at different subrates on various multi-view videos.

关键词： Compressive sensing multi-view image or video visual sensor network joint decoding image or video compression

来源：评论

学校读者我要写书评

暂无评论

A Pervasive network Control Algorithm for Multicamera networks

引用

IEEE sensorS JOURNAL 2014年第4期14卷 1280-1294页

作者： Lee, Sungjin Lee, Inwoong Kim, Seonghyun Lee, Sanghoon Bovik, Alan Conrad Yonsei Univ Dept Elect & Elect Engn Seoul 120749 South Korea Univ Texas Austin Dept Elect & Comp Engn Lab Image & Video Engn Austin TX 78712 USA

Owing to the increasingly large volume and complexity of captured videos, renewable energy systems based on solar energy are of particular interest in the design of energy harvesting (EH) wireless visual sensor networks (WVSNs). Since additional energy consumption following image capture occurs owing to image processing, mote operation, data transmission, and reception, the capture rate significantly affects the lifetime of a node. To this end, we explore a novel energy-efficient framework for EH-WVSN design by developing an optimal algorithm named capture rate and pervasive network control for multicamera networks where the quality of service is maximized by obtaining optimal values for the capture rate, allocated energy, and transmit power, based on field of view-based networking in the presence of event and power acquisition patterns. Through simulations, we demonstrate the feasibility of EH-WVSNs in terms of energy consumption, energy allocation, and capture rate in a realistic scenario (parking surveillance).

关键词： Capture rate energy harvesting visual sensor network IEEE 802.15.4 field of view

来源：评论

学校读者我要写书评

暂无评论

Geometric Bargaining Approach for Optimizing Resource Allocation in Wireless visual sensor networks

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2013年第8期23卷 1388-1401页

作者： Pandremmenou, Katerina Kondi, Lisimachos P. Parsopoulos, Konstantinos E. Univ Ioannina Dept Comp Sci GR-45110 Ioannina Greece

Applications that include real-time video delivery are demanding on network performance, while the various network resources are usually constrained. This fact boosts the need for efficient resource management, aiming at the amelioration of the video quality that reaches the end-user. The present paper considers a wireless direct sequence code division multiple access visual sensor network, which employs a cross-layer design. The objective is the maximization of the nodes' utilities under the constraints of a maximum bit rate and a maximum power level for each node. In this vein, the Kalai-Smorodinsky bargaining solution is applied, which is geometrically derived from the graphical representations of the utility sets, under a centralized topology. Ultimately, we have to deal with an optimization problem that concerns the optimal determination of the source coding rates, channel coding rates, and power levels of all nodes of the network, under certain modeling conditions. The experimental results provided by the Kalai-Smorodinsky bargaining solution are compared with results using the Nash bargaining solution and two other schemes that aim at the maximization of an unweighted and a weighted version of the total network utility, respectively. A metric that captures fairness and performance issues is used in order to compare the performance of the schemes. The results are also evaluated in terms of the total consumed power relative with the total achieved utility.

关键词： Game theory Kalai-Smorodinsky bargaining solution resource allocation visual sensor network

来源：评论

学校读者我要写书评

暂无评论

Effective Resource Management in visual sensor networks With MPSK

引用

IEEE SIGNAL PROCESSING LETTERS 2013年第8期20卷 739-742页

作者： Odejide, Olusegun O. Bentley, Elizabeth S. Kondi, Lisimachos P. Matyjas, John D. USAF Res Lab Rome NY 13441 USA Univ Ioannina Dept Comp Sci GR-45110 Ioannina Greece

The problem of resource management in a Direct Sequence Code Division Multiple Access (DS-CDMA) wireless visual sensor network (VSN) with M-array Phase Shift Keying (MPSK) modulation in an Additive White Gaussian network (AWGN) channel was considered in this paper. Achieving maximum video quality, in spite of the prevailing network resource constraints, is of utmost importance in VSN applications. Our optimization scheme is based on the Nash Bargaining Solution (NBS). The nodes in the network negotiate in order to determine their transmission parameters (transmission powers;source and channel coding rates for each node). The task is to optimize the transmission powers (which are continuous) and the source and channel coding rates (which are discrete) for all the network nodes, while taking advantage of the improved bandwidth spectral efficiency provided by the higher order constellation.

关键词： Cross layer optimization game theory MPSK Nash bargaining solution visual sensor network

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：