NDLI: Human Shape and Pose Tracking Using Keyframes

Content Provider	IEEE Xplore Digital Library
Author	Chun-Hao Huang Boyer, E. Navab, N. Ilic, S.
Copyright Year	2014
Abstract	This paper considers human tracking in multi-view setups and investigates a robust strategy that learns online key poses to drive a shape tracking method. The interest arises in realistic dynamic scenes where occlusions or segmentation errors occur. The corrupted observations present missing data and outliers that deteriorate tracking results. We propose to use key poses of the tracked person as multiple reference models. In contrast to many existing approaches that rely on a single reference model, multiple templates represent a larger variability of human poses. They provide therefore better initial hypotheses when tracking with noisy data. Our approach identifies these reference models online as distinctive keyframes during tracking. The most suitable one is then chosen as the reference at each frame. In addition, taking advantage of the proximity between successive frames, an efficient outlier handling technique is proposed to prevent from associating the model to irrelevant outliers. The two strategies are successfully experimented with a surface deformation framework that recovers both the pose and the shape. Evaluations on existing datasets also demonstrate their benefits with respect to the state of the art.
Starting Page	3446
Ending Page	3453
File Size	1148340
Page Count	8
File Format	PDF
ISBN	9781479951185
ISSN	10636919
DOI	10.1109/CVPR.2014.440
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Three-dimensional displays Skeleton Deformable models Vectors Bandwidth Tracking
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An efficient volumetric framework for shape tracking

Simultaneous pose and non-rigid shape with particle dynamics

Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model

Tensor-Based Human Body Modeling

The stitched puppet: A graphical model of 3D human shape and pose

Shape-constrained Gaussian process regression for facial-point-based head-pose normalization

Multiview 3D warps

A Joint Model for 2D and 3D Pose Estimation from a Single Image

Hybrid On-Line 3D Face and Facial Actions Tracking in RGBD Video Sequences

Human Shape and Pose Tracking Using Keyframes

Similar Documents

An efficient volumetric framework for shape tracking

Simultaneous pose and non-rigid shape with particle dynamics

Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model

Tensor-Based Human Body Modeling

The stitched puppet: A graphical model of 3D human shape and pose

Shape-constrained Gaussian process regression for facial-point-based head-pose normalization

Multiview 3D warps

A Joint Model for 2D and 3D Pose Estimation from a Single Image

Hybrid On-Line 3D Face and Facial Actions Tracking in RGBD Video Sequences

Human Shape and Pose Tracking Using Keyframes