NDLI: Orderless Tracking through Model-Averaged Posterior Estimation

Content Provider	IEEE Xplore Digital Library
Author	Seunghoon Hong Suha Kwak Bohyung Han
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. & Eng., POSTECH, Pohang, South Korea (Bohyung Han)
Abstract	We propose a novel offline tracking algorithm based on model-averaged posterior estimation through patch matching across frames. Contrary to existing online and offline tracking methods, our algorithm is not based on temporally-ordered estimates of target state but attempts to select easy-to-track frames first out of the remaining ones without exploiting temporal coherency of target. The posterior of the selected frame is estimated by propagating densities from the already tracked frames in a recursive manner. The density propagation across frames is implemented by an efficient patch matching technique, which is useful for our algorithm since it does not require motion smoothness assumption. Also, we present a hierarchical approach, where a small set of key frames are tracked first and non-key frames are handled by local key frames. Our tracking algorithm is conceptually well-suited for the sequences with abrupt motion, shot changes, and occlusion. We compare our tracking algorithm with existing techniques in real videos with such challenges and illustrate its superior performance qualitatively and quantitatively.
Sponsorship	IEEE Comput. Soc.
Starting Page	2296
Ending Page	2303
File Size	2849451
Page Count	8
File Format	PDF
ISBN	9781479928408
ISSN	15505499
DOI	10.1109/ICCV.2013.285
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Videos Density functional theory Computational modeling Estimation Hidden Markov models Bayesian model averaging offline 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

Estimating Tracking Sources and Sinks

B.: Orderless tracking through model-averaged posterior estimation

Orderless tracking through model-averaged posterior estimation (2013)

B.: Orderless tracking through model-averaged posterior estimation (2013)

Robust visual tracking using autoregressive hidden Markov Model

Understanding Collective Activitiesof People from Videos

Model-based motion clustering using boosted mixture modeling

On-line density-based appearance modeling for object tracking

Tracking Random Sets of Vehicles in Terrain

Orderless Tracking through Model-Averaged Posterior Estimation

Similar Documents

Estimating Tracking Sources and Sinks

B.: Orderless tracking through model-averaged posterior estimation

Orderless tracking through model-averaged posterior estimation (2013)

B.: Orderless tracking through model-averaged posterior estimation (2013)

Robust visual tracking using autoregressive hidden Markov Model

Understanding Collective Activitiesof People from Videos

Model-based motion clustering using boosted mixture modeling

On-line density-based appearance modeling for object tracking

Tracking Random Sets of Vehicles in Terrain

Orderless Tracking through Model-Averaged Posterior Estimation