Articulated motion and deformable objects. (July 2018)
- Record Type:
- Journal Article
- Title:
- Articulated motion and deformable objects. (July 2018)
- Main Title:
- Articulated motion and deformable objects
- Authors:
- Wan, Jun
Escalera, Sergio
Perales, Francisco J.
Kittler, Josef - Abstract:
- Abstract: This guest editorial introduces the twenty two papers accepted for this Special Issue on Articulated Motion and Deformable Objects (AMDO). They are grouped into four main categories within the field of AMDO: human motion analysis (action/gesture), human pose estimation, deformable shape segmentation, and face analysis. For each of the four topics, a survey of the recent developments in the field is presented. The accepted papers are briefly introduced in the context of this survey. They contribute novel methods, algorithms with improved performance as measured on benchmarking datasets, as well as two new datasets for hand action detection and human posture analysis. The special issue should be of high relevance to the reader interested in AMDO recognition and promote future research directions in the field.
- Is Part Of:
- Pattern recognition. Volume 79(2018:Jul.)
- Journal:
- Pattern recognition
- Issue:
- Volume 79(2018:Jul.)
- Issue Display:
- Volume 79 (2018)
- Year:
- 2018
- Volume:
- 79
- Issue Sort Value:
- 2018-0079-0000-0000
- Page Start:
- 55
- Page End:
- 64
- Publication Date:
- 2018-07
- Subjects:
- Articulated motion and deformable Objects -- Pose estimation -- Action recognition -- Gesture recognition -- Face analysis
Pattern perception -- Periodicals
Perception des structures -- Périodiques
Patroonherkenning
006.4 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00313203 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.patcog.2018.01.038 ↗
- Languages:
- English
- ISSNs:
- 0031-3203
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6432.xml