Special Issue "Detection of Moving Objects"

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: 30 April 2018

Special Issue Editor

Guest Editor
Prof. Thierry Bouwmans

Laboratory MIA, University of La Rochelle, France
Website | E-Mail
Phone: 0546457202
Interests: background subtraction; background modeling; foreground detection; fuzzy theory; Dempster-shafer theory; robust PCA; deep learning models

Special Issue Information

Dear Colleagues,

The detection of moving objects is one of the most important steps in the video processing field, such as in video-surveillance, optical motion capture, multimedia applications, teleconferencing, video editing, human-computer interface, etc. The last two decades have witnessed very significant publications on the detection of moving objects in video taken by static cameras; however, recently, new applications in which backgrounds are not static, such as recordings taken from drones, UAVs or Internet videos, need new developments to detect robustly moving objects in challenging environments. Thus, effective methods for robustness to deal both with dynamic backgrounds and illumination changes in real scenes with fixed cameras or mobile devices are needed and so different models need to be used such as advanced statistical models, fuzzy models, robust subspace learning models and deep learning models.

The intent of this Special Issue is to provide: 1) new approaches in detection of moving objects, 2) new strategies to improve foreground detection algorithms to tackle critical scenarios, such as dynamic backgrounds, illumination changes, night videos and low-frame rate videos, and 3) new adaptive and incremental algorithms to achieve real-time applications.

This Special Issue is primarily focused on the following topics; however, we encourage all submissions related to detection of moving objects in videos taken by a static or moving cameras:

  • Background initialization
  • Background subtraction
  • Background modeling
  • Foreground detection
  • Feature selection
  • Statistical, Fuzzy, and Dempster-shafer concepts for detection of moving objects
  • Robust subspace learning models (RPCA, etc.).
  • Deep learning models.
  • HD camera, IR cameras, Light Field cameras, RGB-D cameras
  • Drones, UAV’s
  • Real-time implementations (GPU, FPGA, etc.)
Prof. Thierry Bouwmans
Guest Editor

Manuscript Submission Information

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. 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. Journal of Imaging is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. 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.

Keywords

  • Background initialization
  • Background subtraction
  • Background modeling
  • Foreground detection
  • Feature selection
  • Statistical, Fuzzy, and Dempster-shafer concepts for detection of moving objects
  • Robust subspace learning models (RPCA, etc.)
  • Deep learning models
  • HD camera, IR cameras
  • Light Field  Cameras, RGB-D cameras
  • Drone, UAV’s
  • Real-time implementations (GPU, FPGA, etc.)

Published Papers

This special issue is now open for submission.
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