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IEEE Vehicular Technology Conference

作者： Alessandro Enrico Redondi Matteo Cesana Luca Baroffio Marco Tagliasacchi Dip. Elettronica Informazione e Bioingegneria

ISBN: (纸本)9781479980895

This work studies how visual analysis tasks based on feature extraction can be speeded up in the context of visual sensor networks. The main catch is for the camera node to leverage the presence of neighboring sensor nodes and offload the task, thus parallelizing its execution. We propose two mathematical programming formulations for the optimal visual task offloading problem: the first one targets the minimization of the overall task completion time while enforcing energy consumption constraints onto the nodes;the second maximizes the overall sensor network lifetime subject to a temporal constraint on the task completion time. The aforementioned formulations are used to characterize the achievable speed-up and consequent energy consumption in representative visual sensor network topologies.

关键词： Mathematical Programming visual sensor networks Cooperative Processing

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An Improved Image Mosaicking Algorithm for visual sensor networks

An Improved Image Mosaicking Algorithm for Visual Sensor Net...

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2014 International Conference on Energy, Environment and Materials Engineering(EEME 2014)

作者： Yi-qin CAO Xiao-ci ZHOU Xiao-sheng HUANG School of Software East China Jiaotong University School of Information Engineering East China Jiaotong University

Aiming to the limited resources characteristic of visual sensor networks,the paper proposed an improved image mosaicking algorithm for visual sensor *** new algorithm firstly calculates the overlap region between images by strip search algorithm,which narrowed the registration search scope,and decreased the complexity of the ***,the algorithm performs image registration by block search method and the improved absolute difference value sum algorithm to improve the accuracy of image *** the end,the improved weighted fusion algorithm is used to achieve the seamless stitch of *** results demonstrate that our algorithm is simple and effective,and can obtain high-resolution images with wide field of view,and with lower energy consumption.

关键词： visual sensor networks Image mosaicking Strip searching Block searching

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Distributed barcode tracking in visual sensor networks

Distributed barcode tracking in visual sensor networks

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IEEE sensors

作者： Leander Hendrikx Eli De Poorter Adrian Munteanu Vrije Universiteit Brussel - imec ETRO Dept. Brussels Belgium Ghent University - imec IDLab Ghent Belgium

ISBN: (纸本)9781509010134

A novel approach for robot tracking and identification based on barcodes is proposed in this paper. The proposed system tracks robots fitted with barcodes identifying them. The system performs distributed visual processing and collaborative barcode tracking, whereby the nodes exchange processed visual information with appropriate neighboring nodes, informing them about incoming targets. The proposed tracking system is deployed on a visual sensor network (VSN) based on the Raspberry Pi. Its practical realization includes various components that handle real-time collaborative tracking, streaming, communication, configuration, management, monitoring, and deployment. The proposed system is able to efficiently and accurately track barcodes in real time. Complexity modeling demonstrates that the proposed distributed system brings substantial complexity reductions compared to a system of independently operating cameras. Experimental results demonstrate that the proposed system can track multiple barcodes in real time with an accuracy of less than 1 centimeter.

关键词： visual sensor networks Distributed processing Robot tracking Barcode detection Bar Codes sensor networks Distributed processing TRACKING SYSTEM tracking Robot Track visual processing

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sensor Selection and Configuration in visual sensor networks

Sensor Selection and Configuration in Visual Sensor Networks

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International Symposium on Telecommunications

作者： Mojtaba Hosseini Mehdi Dehghan Hossein Pedram Computer Engineering Dept. Amirkabir University

ISBN: (纸本)9781467320726

In this article, the problem of selection and configuration of visual sensors in visual sensor networks (VSNs) is studied for coverage of the existing targets in the three-dimensional network area. It is assumed that visual sensors are capable of Pan-Tilt-Zoom (PTZ) ability and able to choose the covered area and desirable target through configuration of the angle of view in two horizontal and vertical dimensions and alteration of the enlargement scale, In order to solve the problem of selection and configuration, a method is presented according to Binary Integer Programming (BIP). It ensures to find the best solution. In addition, it has less calculation complexity compared with other optimization methods. Applying the proposed solution, two problems of k-coverage and full angle coverage have been assessed using two models of point target model and circular target model. The perceived results properly confirm the efficiency of the proposed method in terms of execution speed and decreasing the computation complexity.

关键词： visual sensor networks Directional sensor PTZ Capability sensor Selection sensor Configuration Circular Target Model Full Angle Coverage Binary Integer Programming

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Multifocus image fusion based on compressive sensing for visual sensor networks

Multifocus image fusion based on compressive sensing for vis...

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Iranian Conference on Electrical Engineering (ICEE)

作者： Vahdat Kazemi Hadi Seyedarabi Ali Aghagolzadeh Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran University of Tabriz Tabriz East Azerbaijan IR Faculty of Electrical and Computer Engineering Babol University of Technology Babol Iran

ISBN: (纸本)9781479944088

In this paper, we present a new and efficient multifocus image fusion based on compressive sensing in visual sensor networks. The energy consumption and bandwidth are mean factor in visual sensor networks which determine the lifetime of sensors. Thus, for reducing the energy consumption and bandwidth in transmission; the proposed method uses compressive sensing for fusion of multifocus images. The experimental results show that the proposed approach can achieve a higher fusion quality than some exiting fusion schemes.

关键词： Multifocus image fusion Compressive sensing visual sensor networks Discrete wavelet transform

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RATE-ACCURACY OPTIMIZATION IN visual WIRELESS sensor networks

RATE-ACCURACY OPTIMIZATION IN VISUAL WIRELESS SENSOR NETWORK...

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19th IEEE International Conference on Image Processing (ICIP)

作者： Redondi, A. Cesana, M. Tagliasacchi, M. Politecn Milan Dipartimento Elettron & Informaz Milan Italy

ISBN: (纸本)9781467325332;9781467325349

We consider the problem of allocating the resources in a wireless sensor network, which is designed to perform visual analysis (e. g. object recognition). We depart from the traditional compress-then-analyze paradigm, in which nodes sense, compress and transmit visual data to a sink node. Instead, we study the case in which nodes extract and lossy code local features from pixel-domain representations of the sensed visual scene. The formulation of the allocation problem entails maximizing the lifetime of the visual sensor network subject to a target accuracy of the analysis task, together with energy, bandwidth and routing constraints. To this end, we contribute with the definition of a rate-accuracy model, which plays the role of the traditional rate-distortion model commonly adopted in visual communication. The proposed model captures the impact of: i) the number of selected local features;ii) the number of bits used for quantizing local features;iii) the criterion used to select the subset of local features to be transmitted. We verify the correctness of the models on two widely adopted visual dataset and we demonstrate the network lifetime gain that can be achieved by an optimal allocation of the resources.

关键词： Rate-accuracy optimization Resources allocation visual sensor networks Object recognition

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AUTOMATED visual ANALYSIS IN LARGE SCALE sensor networks

AUTOMATED VISUAL ANALYSIS IN LARGE SCALE SENSOR NETWORKS

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2nd ACM/IEEE International Conference on Distributed Smart Cameras

作者： Rasheed, Z. Cao, X. Shafique, K. Liu, H. Yu, L. Lee, M. Ramnath, K. Choe, T. Javed, O. Haering, N. ObjectVideo Inc Ctr Video Understanding Excellence Reston VA 20191 USA

ISBN: (纸本)9781424426645

Modem automated video analysis systems consist of large networks of heterogeneous sensors. These systems must extract, integrate and present relevant information from the sensors in real-time. This paper addresses some of the major challenges such systems face: efficient video processing for high-resolution sensors;data fusion across multiple modalities;robustness to changing environmental conditions and video processing errors;and intuitive user interfaces for visualization and analysis. The paper discusses enabling technologies to overcome these challenges and presents a case study of a wide area video analysis system deployed at a port in the state of Florida, USA. The components of the system are also detailed and justified using quantitative and qualitative results.

关键词： visual sensor networks Geo-Registration Video Analysis Monitoring

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ENABLING visual ANALYSIS IN WIRELESS sensor networks

ENABLING VISUAL ANALYSIS IN WIRELESS SENSOR NETWORKS

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IEEE International Conference on Image Processing

作者： L. Baroffio A. Canclini M. Cesana A. Redondi M. Tagliasacchi G. Dan E. Eriksson V. Fodor J. Ascenso P. Monteiro DEIB - Politecnico di Milano KTH - Royal Institute of Technology Instituto de Telecomunicacoes

ISBN: (纸本)9781479957521

This demo showcases some of the results obtained by the GreenEyes project, whose main objective is to enable visual analysis on resource-constrained multimedia sensor networks. The demo features a multi-hop visual sensor network operated by BeagleBones Linux computers with IEEE 802.15.4 communication capabilities, and capable of recognizing and tracking objects according to two different visual paradigms. In the traditional compress-then-analyze (CTA) paradigm, JPEG compressed images are transmitted through the network from a camera node to a central controller, where the analysis takes place. In the alternative analyze-then-compress (ATC) paradigm, the camera node extracts and compresses local binary visual features from the acquired images (either locally or in a distributed fashion) and transmits them to the central controller, where they are used to perform object recognition/tracking. We show that, in a bandwidth constrained scenario, the latter paradigm allows to reach better results in terms of application frame rates, still ensuring excellent analysis performance.

关键词： Binary Local visual Features visual sensor networks ARM Object Recognition Object Tracking

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An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless sensor networks Lifetime Utilization

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2020年第8期11卷 425-437页

作者： Abidoye, Ademola P. Ochola, Elisha O. Obagbuwa, Ibidun C. Govender, Desmond W. Cape Peninsula Univ Technol Dept Informat Technol Cape Town South Africa Univ South Africa Sch Comp Pretoria South Africa Univ KwaZulu Natal Dept Comp Sci Educ Pinetown South Africa

Wireless sensor networks (WSNs) are one of the most essential technologies in the 21st century due to their increase in various application areas and can be deployed in areas where cable and power supply are difficult to use. However, sensor nodes that form these networks are energy-constrained because they are powered by non-rechargeable small batteries. Thus, it is imperative to design a routing protocol that is energy efficient and reliable to extend network lifetime utilization. In this article, we propose an improved ant colony optimization algorithm: a technique for extending wireless sensor networks lifetime utilization called AMACO. We present a new clustering method to avoid the overhead that is usually involved during the election of cluster heads in the previous approaches and energy holes within the network. Moreover, fog computing is integrated into the scheme due to its ability to optimize the limited power source of WSNs and to scale up to the requirements of the Internet of Things applications. All the data packets received by the fog nodes are transmitted to the cloud for further analysis and storage. An improved ant colony optimization (ACO) algorithm is used to construct optimal paths between the cluster heads and fog nodes for a reliable end-to-end data packets delivery. The simulation results show that the network lifetime in AMACO increased by 22.0%, 30.7%, and 32.0% in comparison with EBAR, IACO-MS, and RRDLA before the first node dies (FND) respectively. It increased by 15.2%, 18.4%, and 33.5% in comparison with EBAR, IACO-MS, and RRDLA before half nodes die (HND) respectively. Finally, it increased by 28.2%, 24.9%, and 58.9% in comparison with EBAR, IACO-MS, and RRDLA before the last node dies (LND) respectively.

关键词： sensor nodes advanced nodes fog nodes data centre cloud computing ant colony optimization visual sensor networks

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A Survey on QoS-aware Secure Data Transmission in Multimedia sensor networks

A Survey on QoS-aware Secure Data Transmission in Multimedia...

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International Conference on sensors, Mechatronics and Automation (ICSMA)

作者： Ye, Qian Wu, Meng Wang, Yufei Nanjing Univ Posts & Telecommun Coll Comp Nanjing Peoples R China Nanjing Univ Posts & Telecommunicat Coll Telecommunicat Informat Engn Key Lab Broadband Wireless Commun & Sensor Networ Minist Educ Nanjing Peoples R China China Elect Power Res Inst Res Inst Informat Technol Commun Nanjing Peoples R China

ISBN: (纸本)9783038350170

QoS assurance and information security are important for multimedia data transmission in wireless multimedia sensor networks. First, the status of multimedia sensor networks was introduced. Then research status of QoS assurance and information security of wireless multimedia sensor networks was surveyed, and the related open issues were also analyzed. Finally, the technology routes to solve the open issues were also studied and discussed. We argue that trusted QoS architecture considering various applications with different QoS requirements is important for wireless multimedia sensor networks. And network conditions and protocol layers must be well designed in QoS-aware secure multimedia routing mechanism to satisfy QoS requirements of multiple traffic classes. Technologies of information hiding, multimedia data resolution, and multi-routing can be used for privacy protection in wireless multimedia sensor networks.

关键词： visual sensor networks trusted routing QoS assurance information security

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