检索结果-内蒙古大学图书馆

IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)

作者： Thao Nguyen Thi Huong Huy Phi Cong Tien Vu Huu Xiem HoangVan PTIT Hanoi Vietnam VNU Univ Engn & Technol Hanoi Vietnam

ISBN: (纸本)9781538666890

visual sensor network (VSN) has recently emerged as a promising solution for tremendous range of new vision-sensor based applications, from video surveillance, environmental monitoring to remote sensing. However, the practical VSN currently faces to the visual processing and transmitting problems due to the limitation of power at sensor nodes and the restriction of transmission bandwidth. In this context, the selection of a suitable video compression algorithm is utmost important task for achieving a practical VSN. To address this problem, this paper introduces a practical Raspberry Pi based High Efficiency Video Coding (HEVC) solution for visual sensor networks. The selected video coding solution is one of the most up-to-date compression engines but still achieving the low complexity capability. Experimental results show that the proposed video coding architecture has good compression performance with acceptable complexity performance.

关键词： visual sensor network Raspberry Pi HEVC

来源：评论

学校读者我要写书评

暂无评论

Towards a visual sensor network Built from Smartphones

Towards a Visual Sensor Network Built from Smartphones

引用

Eastern European Regional Conference on the Engineering of Computer Based Systems

作者： Kristóf Csorba Dávid Szalóki Norbert Koszó Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

ISBN: (纸本)9781479908530

With the developments of the last years, smartphones became suitable to be used as smart cameras in a visual sensor network. They have the necessary cameras with an acceptable quality of lenses and CCD, the required processing power, and WiFi or Bluetooth interfaces for communication. This paper describes the architecture of the SMEyeL (Smart Mobile Eyes for Localization) system. It is designed to utilize both smartphones and PC-s as processing nodes of a visual sensor network. It aims to achieve high spatial and temporal resolution, energy consumption optimization via computation offloading and distributed processing. The SMEyeL project is open source: sourcecode and measurement data sets are available on the web. We present the detailed description of the architecture and exprimental results related to timing accuracy and localization precision.

关键词： smartphone visual sensor network motion tracking computer vision distributed processing

来源：评论

学校读者我要写书评

暂无评论

Heterogeneous Feature Fusion-based Optimal Face Image Acquisition in visual sensor network

Heterogeneous Feature Fusion-based Optimal Face Image Acquis...

引用

IEEE International Instrumentation and Measurement Technology Conference

作者： Kuicheng Lin Xue Wang Sujin Cui Yuqi Tan State Key Laboratory of Precision Measurement Technology and Instrument Department of Precision Instrument Tsinghua University Beijing China

ISBN: (纸本)9781479961153

High quality face image acquisition from huge video data obtained in visual sensor network is of great significance in applications related to face processing, such as face recognition and reconstruction. This paper proposes an optimal face image acquisition method in visual sensor network, which is based on collaborative face frames acquisition and heterogeneous feature fusion-based face quality assessment. Gaussian-probability-distribution-based multi-view data fusion and kalman filter are used for collaborative target localization and tracking. To achieve primary screening of face frames, a lightweight face frames quality evaluation method is presented. Importantly, new face quality assessment criterion calculation methods are proposed to make fine screening of face images more applicable in visual sensor network. The new face quality assessment criterion calculation methods are based on heterogeneous feature fusion of pedestrian tracking and static face image features analysis. Fuzzy inference engine is used to combine these criteria to generate a face quality assessment score. Experimental results show that the proposed method can acquire optimal face images accurately and robustly.

关键词： optimal face image acquisition fuzzy inference engine visual sensor network face quality assessment

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

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

Cooperative image analysis in visual sensor networks

引用

AD HOC networkS 2015年第May期28卷 38-51页

作者： Redondi, Alessandro Cesana, Matteo Tagliasacchi, Marco Filippini, Ilario Dan, Gyorgy Fodor, Viktoria Politecn Milan Dipartimento Elettron lnformaz & Bioingn I-20133 Milan Italy KTH Royal Inst Technol Sch Elect Engn Lab Commun Networks Stockholm Sweden

This work addresses the problem of enabling resource-constrained sensor nodes to perform visual analysis tasks. The focus is on visual analysis tasks that require the extraction of local visual features, which form a succinct and distinctive representation of the visual content of still images or videos. The extracted features are then matched against a feature data set to support applications such as object recognition, face recognition and image retrieval. Motivated by the fact that the processing burden imposed by common algorithms for feature extraction may be prohibitive for a single, resource-constrained sensor node, this paper proposes cooperative schemes to minimize the processing time of the feature extraction algorithms by offloading the visual processing task to neighboring sensor nodes. The optimal offloading strategy is formally characterized under different networking and communication paradigms. The performance of the proposed offloading schemes is evaluated using simulations and is validated through experiments carried out on a real wireless sensor network testbed. The results show that the proposed offloading schemes allow to reduce the feature extraction time up to a factor of 3 in the reference scenario. (C) 2015 Elsevier B.V. All rights reserved.

关键词： visual sensor network Distributed processing Divisible load theory

来源：评论

学校读者我要写书评

暂无评论

A Location-Wise Predetermined Deployment for Optimizing Lifetime in visual sensor networks

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2016年第6期26卷 1131-1145页

作者： Halder, Subir Ghosal, Amrita Dr BC Roy Engn Coll Dept Comp Sci & Engn Durgapur 713206 India

visual sensor networks are receiving significant attention due to their potential applications ranging from surveillance to tracking domains. Nevertheless, due to the funneling effect, the unbalanced energy usage among visual sensor nodes (SNs) increases and leads to premature decrease in network lifetime. First, considering Rayleigh fading channel and routing models, we analyze the optimization of network lifetime by balancing the energy consumption among different SNs. From the analysis, it is revealed that the number of SNs and relay nodes and their locations have significant influence on limiting the energy hole problem and optimization of network lifetime. Based on the derived principle of energy balancing, we develop a heterogeneous SNs deployment strategy leading to optimization in network lifetime. Exhaustive simulation is performed, primarily to measure the extent of achieving our design goal of optimizing network lifetime while attaining energy balancing. We also measure the effect of placement errors on the performance and robustness of the scheme. The results show that even in the presence of placement error the performance is comparable and provides better robustness compared with the competing scheme. Further, the simulation results show that our scheme does not compromise with other performance metrics, e.g., end-to-end delay and throughput, while achieving the design goal. Finally, all the comparative results confirm our scheme's supremacy over the competing schemes.

关键词： Energy balance energy hole problem network lifetime node deployment visual sensor network

来源：评论

学校读者我要写书评

暂无评论

A NODE AND network LEVEL SELF-RECOVERING DISTRIBUTED WIRELESS sensor ARCHITECTURE FOR REAL-TIME CROP MONITORING IN GREENHOUSES

引用

TRANSACTIONS OF THE ASABE 2011年第4期54卷 1521-1527页

作者： Striemer, G. M. Story, D. L. Akoglu, A. Kacira, M. Univ Arizona Dept Elect & Comp Engn Tucson AZ 85721 USA Univ Arizona Dept Agr & Biosyst Engn Tucson AZ 85721 USA

visual sensor networks (VSNs) have emerged as a new paradigm by giving sensors the capability to perceive and analyze their surroundings. Robust and fault-tolerant operations are crucial for non-contact plant monitoring systems in a greenhouse environment equipped with a VSN. Achieving such capabilities requires new methods to monitor system status and crop health, and automatically reconfigure for new functionalities due to dynamic changes in the greenhouse environment. New technologies, such as field-programmable gate arrays (FPGAs), provide hardware designers with the ability to create high-performance and adaptive solutions. In this study, a distributed wireless sensor architecture with self-recovery capability was designed and constructed. The experimental results showed that the test bed comprised of wirelessly connected FPGAs (Xilinx Virtex 5) was able to achieve node-level fault detection and recovery within 2.16 s and network level recovery in 5.39 s. The application of the proposed architecture in greenhouse-based plant production is a significant step toward building a robust system for monitoring plant status.

关键词： Crop monitoring Detection Field programmable gate array Greenhouse visual sensor network Wireless sensor

来源：评论

学校读者我要写书评

暂无评论

A novel hybrid image fusion method based on integer lifting wavelet and discrete cosine transformer for visual sensor networks

引用

MULTIMEDIA TOOLS AND APPLICATIONS 2019年第8期78卷 10865-10887页

作者： Latreche, Boubakeur Saadi, Slami Kious, Mecheri Benziane, Ali Amar Telidji Univ Laghouat Semicond & Funct Mat Lab BP 37G Laghouat Algeria Ziane Achour Univ Djelfa Fac Exact Sci & Informat Djelfa Algeria

In recent years, multimedia data is most used in the world such as image, audio, video and text. For reducing the great amount of generated data and for obtaining the better sensing performance, several researches have been focused on multimedia data fusion (MDF). The main objective of image fusion techniques in the visual sensor networks (VSNs) is to combine multiple images of the same scene captured by different cameras and with various focused regions into a single informative image. In this paper, we propose an efficient hybrid image fusion method which is suitable for VSNs based on the integer lifting wavelet transform (ILWT) and the discrete cosine transformer (DCT). The suggested fusion algorithm consists of two steps. Firstly, the approximate coefficients (low frequencies) generated by the ILWT are fused by selecting the variance as an activity level measure in the DCT domain. Secondly, the detail coefficients (high frequencies) are fused by taking the optimum weighted average based on the correlation between coefficients in ILWT domain. Due to the integer operations in ILWT domain, the proposed method overcomes the loss of information, computational complexity, time and energy consumption and memory space. Extensive experiments are performed to demonstrate the outperforming of the proposed method compared qualitatively and quantitatively with some literature image fusion techniques.

关键词： Image fusion visual sensor network Integer lifting wavelet transform Discrete cosine transformer

来源：评论

学校读者我要写书评

暂无评论

Resource-Aware Coverage and Task Assignment in visual sensor networks

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2011年第10期21卷 1424-1437页

作者： Dieber, Bernhard Micheloni, Christian Rinner, Bernhard Alpen Adria Univ Klagenfurt Inst Networked & Embedded Syst A-9020 Klagenfurt Austria Univ Udine I-33100 Udine Italy

A visual sensor network (VSN) consists of a large amount of camera nodes which are able to process the captured image data locally and to extract the relevant information. The tight resource limitations in these networks of embedded sensors and processors represent a major challenge for the application development. In this paper, we focus on finding optimal VSN configurations which are basically given by: 1) the selection of cameras to sufficiently monitor the area of interest;2) the setting of the cameras' frame rate and resolution to fulfill the quality of service requirements;and 3) the assignment of processing tasks to cameras to achieve all required monitoring activities. We formally specify this configuration problem and describe an efficient approximation method based on an evolutionary algorithm. We analyze our approximation method on three different scenarios and compare the predicted results with measurements on real implementations on a VSN platform. We finally combine our approximation method with an expectation-maximization algorithm for optimizing the coverage and resource allocation in VSN with pan-tilt-zoom camera nodes.

关键词： Camera coverage evolutionary algorithm resource allocation task assignment 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：