Call for Submissions: [Sensors, ISSN 1424-8220, IF 3.275] – Special Issue “Visual Sensor Networks for Object Detection and Tracking”

Call for papers:

Sensors (IF 3.275): Special Issue “Visual Sensor Networks for Object
Detection and Tracking”
Deadline for manuscript submissions: 15 January 2021
https://www.mdpi.com/journal/sensors/special_issues/VSN_ODT
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Dear Colleagues,

Hope you are doing well.

We are pleased to invite you to contribute a paper, comprehensive review
or original paper, to our Special Issue “Visual Sensor Networks for
Object Detection and Tracking” in /Sensors/:

Special Issue Website:
https://www.mdpi.com/journal/sensors/special_issues/VSN_ODT
*Guest Editor*: Prof. Dr. Byung-Gyu Kim
Deadline for manuscript submissions: 15 January 2021

*The particular topics of interest include, but are not limited to:*

     Intelligent object detection algorithms
     Fast and complexity reduction algorithms for real-time object
detection and tracking
     Knowledge extraction and mining from visual sensor data
     Visual sensor network architecture for object detection and tracking
     Awareness-based visual sensor network design
     Intelligent machine learning mechanism for object detection and
recognition
     Lightweight deep learning for real-time object detection and tracking
     Visual data representation and transmission in a 5G network
     Real-time visual object tracking in vision sensor network
     Intelligent CCTV applications

If you are interested in contributing, please contact
angelina.wang@mdpi.com. /Sensors/ manages a rigorous and efficient
peer review process for all submissions, i.e., a first decision provided
to authors approximately 17.9 days after submission. There are around
40,000 verified reviews in Sensors on Publons.

/Sensors/ (ISSN 1424-8220; https://www.mdpi.com/journal/sensors) is a
leading international peer-reviewed open access journal on the science
and technology of sensors. Sensors’ Impact Factor 2019 is 3.275, and
5-year IF of 3.427. It ranks 15/64 (Q1) in “Instruments &
Instrumentation”; 22/86 (Q2) in “Chemistry, Analytical”; 77/266 (Q2) in
“Engineering, Electrical & Electronic” from JCR.

We look forward to hearing from you.

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