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Special Issue "Sensor Fusion for Object Detection, Classification and Tracking"

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

Deadline for manuscript submissions: 30 November 2020.

Special Issue Editor

Prof. Hanseok Ko
Guest Editor
School of Electrical Engineering, Korea University, Intelligent Signal Processing Center, Korea University, Anam-dong, Seongbuk-gu, Seoul 02841, South Korea
Interests: computer vision; acoustic signal processing; multi-sensor fusion; deep learning; big data analytics
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Audio-visual-based object detection and tracking is a fundamental problem in computer vision and signal processing. Advances in sensor fusion technology combining more powerful and low-cost computer platforms with novel methods, particularly those relying on deep learning, are revolutionizing the computer vision field and provide new opportunities for research with larger and more diverse data sets. Recently, sensor fusion tasks for object detection, recognition, and tracking are being enabled by more flexible acoustic and vision sensors and their network scheme.

This call for papers invites technical contributions to Sensors Special Issue on “Sensor Fusion for Object Detection, Classification and Tracking”. The Special Issue aims to publish original technical papers and review papers on recent technologies that focus on object detection and tracking, knowledge extraction, distributed sensor networks, sensor fusion, and applications. Potential topics include but are not limited to the following:

  • Detection and tracking objects using various sensors;
  • Intelligent object detection algorithms;
  • Visual sensor network architecture for object detection and tracking;
  • Real-time visual object tracking in vision sensor network;
  • Intelligent machine learning mechanism for object detection and recognition;
  • Deep learning for real-time object detection and tracking;
  • Computational photography for object detection and tracking;
  • Development of non-visual sensors and their applications to video analysis and tracking;
  • Acoustic and vision sensor fusion schemes.

Prof. Hanseok Ko
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at 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. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short 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 thoroughly refereed through a single-blind 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 semimonthly 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 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Artificial general intelligence
  • Sensor fusion
  • Deep learning
  • Big data analytics
  • Human–robot interactions
  • Human–computer integration
  • Data fusion
  • Acoustic sensors (microphone array)
  • Camera
  • Visual object recognition
  • Visual object tracking
  • Motion estimation
  • Video analytics
  • Visual surveillance and monitoring.

Published Papers

This special issue is now open for submission.
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