People Detection and Analysis Using Depth Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".
Deadline for manuscript submissions: closed (1 March 2022) | Viewed by 2730
Special Issue Editors
Interests: computer vision; deep learning; vision based HCI; IoT
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; deep learning; face analysis; biometrics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are witnessing the wide diffusion of active depth sensors that represent an effective and affordable solution to capture 3D information even in low-light conditions. At the same time, computer vision and machine learning communities proposed new solutions to process depth data, individually or fused with other information such as RGB images. However, the generalization capabilities and performance of the deep learning models based on depth data, such as a depth map and its related data representations (e.g., normal images, voxels, and point clouds) have not yet been fully investigated. In this context, several challenging problems can be addressed, such as the reliable detection of people, the 3D analysis of humans in terms of body pose, and face and hand analysis, also oriented for the human–computer interaction and biometrics.
This Special Issue will publish innovative work that explores hardware and software solutions for exploiting depth information, investigating the use of ad hoc deep learning models and specific data pre-processing and normalization procedures. The particular topics of interest include, but are not limited to the following:
- people (and face) detection;
- human body pose estimation and refinement;
- people tracking;
- head pose estimation;
- face recognition and verification;
- face analysis;
- action recognition;
- gait analysis;
- human–computer interaction;
- hand detection;
- hand pose estimation;
- gesture recognition;
- depth-based data representations
Prof. Dr. Roberto Vezzani
Dr. Guido Borghi
Guest Editors
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 submissions that pass pre-check are 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 2600 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.
Keywords
- RGB-D computer vision
- depth sensors
- depth maps
- 3D pose estimation and tracking
- 3D body analysis
- applications of 3D vision (human–computer interaction, robotics, etc.)
