NDLI: Non-rigid tracking of musk shrews in video for detection of emetic episodes

Content Provider	IEEE Xplore Digital Library
Author	Dong Huang Meyers, K. Henry, S. De la Torre, F. Horn, C.C.
Copyright Year	2011
Description	Author affiliation: University of Pittsburgh Cancer Institute, Biobehavioral Medicine in Oncology Program, USA (Meyers, K.; Horn, C.C.) \|\| AgroSup Dijon, France (Henry, S.) \|\| Robotics Institute, Carnegie Mellon University, USA (Dong Huang; De la Torre, F.)
Abstract	Animal study plays a key role in understanding the mechanisms of emesis induced by many diseases and drug treatments. The traditional measurement of emesis usually requires manual observation which is labor intensive, difficult to standardize across coders, and often lacks spatial and temporal precision. This paper proposes a vision-based system for non-rigid tracking of musk shrews in videos and automatic characterization of eme-sis response when a chemotherapy agent is applied. Firstly, we learn a 80-dimensional non-rigid shape model (defined by 40 two-dimensional landmarks) to characterize the non-rigid shape variation of a musk shrews. After the body contour of the musk shrew is initialized in the first frame, we propose an algorithm for non-rigid tracking of the 40 landmarks in a video sequence. In each frame the contour of the musk shrew is estimated using background subtraction and a major challenge is to solve for the correspondence between the body contour and the shape model. Once the tracking is done, we used the shape changes to characterize the retch response during the emetic episodes. Finally, an emetic episode is detected when there're consecutive retches.
Starting Page	17
Ending Page	23
File Size	2799452
Page Count	7
File Format	PDF
ISBN	9781457705298
ISSN	21607516
e-ISBN	9781457705304
DOI	10.1109/CVPRW.2011.5981741
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Deformable models Shape Animals Tracking Computational modeling Optimization
Content Type	Text
Resource Type	Article

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

Robust non-rigid 3D tracking for face recognition in real-world videos

Tracking Complete Deformable Objects with Finite Elements

A Feature-Preserved Canonical Form for Non-rigid 3D Meshes

Efficient groupwise non-rigid registration of textured surfaces

Non-Rigid Structure from Motion using non-Parametric Tracking and Non-Linear Optimization

Shape-Regulated Particle Filtering for Tracking Non-Rigid Objects

Novel dynamic measures of emetic behavior in musk shrews

Motion detection and tracking using deformable templates

Optimization of the active contour snaxels for human gait tracking

Non-rigid tracking of musk shrews in video for detection of emetic episodes

Similar Documents

Robust non-rigid 3D tracking for face recognition in real-world videos

Tracking Complete Deformable Objects with Finite Elements

A Feature-Preserved Canonical Form for Non-rigid 3D Meshes

Efficient groupwise non-rigid registration of textured surfaces

Non-Rigid Structure from Motion using non-Parametric Tracking and Non-Linear Optimization

Shape-Regulated Particle Filtering for Tracking Non-Rigid Objects

Novel dynamic measures of emetic behavior in musk shrews

Motion detection and tracking using deformable templates

Optimization of the active contour snaxels for human gait tracking

Non-rigid tracking of musk shrews in video for detection of emetic episodes