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Special Issue "Visual Sensor Networks"

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A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (28 February 2015)

Special Issue Editors

Guest Editor
Dr. Y. Ahmet Sekercioglu

Department of Electrical and Computer Systems Engineering Monash University, Clayton, Victoria, 3800, Australia
Website | E-Mail
Interests: distributed algorithms for self-organization in wireless ad hoc; sensor and visual sensor networks; Wireless systems for networked control applications
Guest Editor
Dr. Isabelle Fantoni

HEUDIASYC UMR CNRS 7253 Université de Technologie de Compiègne Rue Roger Couttolenc, CS 60319, 60200, Compiègne, France
Website | E-Mail
Interests: Control of Unmanned Aerial Vehicles (UAVs); Flocking of multiple UAVs; Localization and navigation of UAVs using camera networks; Heterogeneous robotic systems in interaction
Guest Editor
Dr. Vincent Frémont

HEUDIASYC UMR CNRS 7253 Université de Technologie de Compiègne Rue Roger Couttolenc, CS 60319, 60200, Compiègne, France
Website | E-Mail

Special Issue Information

Dear Colleagues,

An extension of Wireless Sensor Networks (WSNs), Visual Sensor Networks (VSNs) are becoming a reality thanks to the recent advances of mass production of low-cost camera modules, increasingly powerful and power effective processor systems, and high-speed wireless communications technologies. VSNs collect information-rich visual data. Multiple camera nodes, potentially installed on mobile robots or unmanned aerial vehicles (UAVs), generate potentially large amounts of data which will inevitably require new paradigms for processing and transmission. For VSNs to reach their full potential of usability, intelligent algorithms for scalable, distributed and collaborative processing will be needed. Plug-and-play functionality and self-organization schemes will also play a central role for large-scale deployment of VSNs.

Tremendous challenges and research opportunities are present. To name a few: Quality-of-Service (QoS) aware visual sensory data processing, coverage optimization, multi-view information analysis and 3D mapping, power conservation methods, new architectures including cloud-enhanced ones, improved communication protocols, intelligent data coding and compression methods, or localized information analysis and task distribution.

In this special issue, research papers are sought covering all aspects of VSN hardware, software, algorithms and experimental setups, especially on mobile robot or UAV platforms. In-depth, authoritative survey and tutorial papers are also welcome. Submissions should clearly indicate which open challenges in VSNs are addressed in their work. Authors are invited to contact the guest editors prior to submission if they are uncertain whether their work falls within the general scope of this special issue.

Dr. Y. Ahmet Sekercioglu
Dr. Isabelle Fantoni
Dr. Vincent Frémont
Guest Editors

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed Open Access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs).

Keywords

  • 3-D vision for robotics
  • projective and computational geometry
  • dynamical scene analysis
  • image processing
  • distributed visual SLAMs

Published Papers (4 papers)

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Research

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Open AccessArticle A Novel Square-Root Cubature Information Weighted Consensus Filter Algorithm for Multi-Target Tracking in Distributed Camera Networks
Sensors 2015, 15(5), 10526-10546; doi:10.3390/s150510526
Received: 2 March 2015 / Revised: 21 April 2015 / Accepted: 27 April 2015 / Published: 5 May 2015
Cited by 2 | PDF Full-text (294 KB) | HTML Full-text | XML Full-text
Abstract
This paper deals with the problem of multi-target tracking in a distributed camera network using the square-root cubature information filter (SCIF). SCIF is an efficient and robust nonlinear filter for multi-sensor data fusion. In camera networks, multiple cameras are arranged in a dispersed
[...] Read more.
This paper deals with the problem of multi-target tracking in a distributed camera network using the square-root cubature information filter (SCIF). SCIF is an efficient and robust nonlinear filter for multi-sensor data fusion. In camera networks, multiple cameras are arranged in a dispersed manner to cover a large area, and the target may appear in the blind area due to the limited field of view (FOV). Besides, each camera might receive noisy measurements. To overcome these problems, this paper proposes a novel multi-target square-root cubature information weighted consensus filter (MTSCF), which reduces the effect of clutter or spurious measurements using joint probabilistic data association (JPDA) and proper weights on the information matrix and information vector. The simulation results show that the proposed algorithm can efficiently track multiple targets in camera networks and is obviously better in terms of accuracy and stability than conventional multi-target tracking algorithms. Full article
(This article belongs to the Special Issue Visual Sensor Networks)
Open AccessArticle Fast Video Encryption Using the H.264 Error Propagation Property for Smart Mobile Devices
Sensors 2015, 15(4), 7953-7968; doi:10.3390/s150407953
Received: 16 January 2015 / Revised: 16 March 2015 / Accepted: 25 March 2015 / Published: 2 April 2015
Cited by 3 | PDF Full-text (2804 KB) | HTML Full-text | XML Full-text
Abstract
In transmitting video data securely over Video Sensor Networks (VSNs), since mobile handheld devices have limited resources in terms of processor clock speed and battery size, it is necessary to develop an efficient method to encrypt video data to meet the increasing demand
[...] Read more.
In transmitting video data securely over Video Sensor Networks (VSNs), since mobile handheld devices have limited resources in terms of processor clock speed and battery size, it is necessary to develop an efficient method to encrypt video data to meet the increasing demand for secure connections. Selective encryption methods can reduce the amount of computation needed while satisfying high-level security requirements. This is achieved by selecting an important part of the video data and encrypting it. In this paper, to ensure format compliance and security, we propose a special encryption method for H.264, which encrypts only the DC/ACs of I-macroblocks and the motion vectors of P-macroblocks. In particular, the proposed new selective encryption method exploits the error propagation property in an H.264 decoder and improves the collective performance by analyzing the tradeoff between the visual security level and the processing speed compared to typical selective encryption methods (i.e., I-frame, P-frame encryption, and combined I-/P-frame encryption). Experimental results show that the proposed method can significantly reduce the encryption workload without any significant degradation of visual security. Full article
(This article belongs to the Special Issue Visual Sensor Networks)
Open AccessArticle Image-Based Environmental Monitoring Sensor Application Using an Embedded Wireless Sensor Network
Sensors 2014, 14(9), 15981-16002; doi:10.3390/s140915981
Received: 11 July 2014 / Revised: 14 August 2014 / Accepted: 25 August 2014 / Published: 28 August 2014
Cited by 11 | PDF Full-text (4308 KB) | HTML Full-text | XML Full-text
Abstract
This article discusses the experiences from the development and deployment of two image-based environmental monitoring sensor applications using an embedded wireless sensor network. Our system uses low-power image sensors and the Tenet general purpose sensing system for tiered embedded wireless sensor networks. It
[...] Read more.
This article discusses the experiences from the development and deployment of two image-based environmental monitoring sensor applications using an embedded wireless sensor network. Our system uses low-power image sensors and the Tenet general purpose sensing system for tiered embedded wireless sensor networks. It leverages Tenet’s built-in support for reliable delivery of high rate sensing data, scalability and its flexible scripting language, which enables mote-side image compression and the ease of deployment. Our first deployment of a pitfall trap monitoring application at the James San Jacinto Mountain Reserve provided us with insights and lessons learned into the deployment of and compression schemes for these embedded wireless imaging systems. Our three month-long deployment of a bird nest monitoring application resulted in over 100,000 images collected from a 19-camera node network deployed over an area of 0.05 square miles, despite highly variable environmental conditions. Our biologists found the on-line, near-real-time access to images to be useful for obtaining data on answering their biological questions. Full article
(This article belongs to the Special Issue Visual Sensor Networks)

Review

Jump to: Research

Open AccessReview Research Trends in Wireless Visual Sensor Networks When Exploiting Prioritization
Sensors 2015, 15(1), 1760-1784; doi:10.3390/s150101760
Received: 12 August 2014 / Accepted: 28 October 2014 / Published: 15 January 2015
Cited by 6 | PDF Full-text (1055 KB) | HTML Full-text | XML Full-text
Abstract
The development of wireless sensor networks for control and monitoring functions has created a vibrant investigation scenario, where many critical topics, such as communication efficiency and energy consumption, have been investigated in the past few years. However, when sensors are endowed with low-power
[...] Read more.
The development of wireless sensor networks for control and monitoring functions has created a vibrant investigation scenario, where many critical topics, such as communication efficiency and energy consumption, have been investigated in the past few years. However, when sensors are endowed with low-power cameras for visual monitoring, a new scope of challenges is raised, demanding new research efforts. In this context, the resource-constrained nature of sensor nodes has demanded the use of prioritization approaches as a practical mechanism to lower the transmission burden of visual data over wireless sensor networks. Many works in recent years have considered local-level prioritization parameters to enhance the overall performance of those networks, but global-level policies can potentially achieve better results in terms of visual monitoring efficiency. In this paper, we make a broad review of some recent works on priority-based optimizations in wireless visual sensor networks. Moreover, we envisage some research trends when exploiting prioritization, potentially fostering the development of promising optimizations for wireless sensor networks composed of visual sensors. Full article
(This article belongs to the Special Issue Visual Sensor Networks)

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