Feature prominence-based weighting scheme for video tracking

Sema Candemir; Kannappan Palaniappan; Filiz Bunyak; Raghuveer M. Rao; Guna Seetharaman

doi:10.1145/2425333.2425358

Feature prominence-based weighting scheme for video tracking

Sema Candemir
, Kannappan Palaniappan
, Filiz Bunyak
, Raghuveer M. Rao
, Guna Seetharaman

University of Missouri-Columbia
U.S. Army Research Laboratory
Air Force Research Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012
DOIs	https://doi.org/10.1145/2425333.2425358
State	Published - 2012
Externally published	Yes
Event	8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012 - Mumbai, India Duration: Dec 16 2012 → Dec 19 2012

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012
Country/Territory	India
City	Mumbai
Period	12/16/12 → 12/19/12

ASJC Scopus Subject Areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Keywords

feature fusion
object tracking wide area motion imagery
statistical significance measure

Access to Document

10.1145/2425333.2425358

Cite this

Candemir, S, Palaniappan, K, Bunyak, F, Rao, RM & Seetharaman, G 2012, Feature prominence-based weighting scheme for video tracking. in Proceedings - 8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012. ACM International Conference Proceeding Series, 8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012, Mumbai, India, 12/16/12. https://doi.org/10.1145/2425333.2425358

@inproceedings{cf6a53e6ab40481a9bcec33f9af15f68,

title = "Feature prominence-based weighting scheme for video tracking",

keywords = "feature fusion, object tracking wide area motion imagery, statistical significance measure",

author = "Sema Candemir and Kannappan Palaniappan and Filiz Bunyak and Rao, \{Raghuveer M.\} and Guna Seetharaman",

year = "2012",

doi = "10.1145/2425333.2425358",

language = "English",

isbn = "9781450316606",

series = "ACM International Conference Proceeding Series",

booktitle = "Proceedings - 8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012",

note = "8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012 ; Conference date: 16-12-2012 Through 19-12-2012",

}

TY - GEN

T1 - Feature prominence-based weighting scheme for video tracking

AU - Candemir, Sema

AU - Palaniappan, Kannappan

AU - Bunyak, Filiz

AU - Rao, Raghuveer M.

AU - Seetharaman, Guna

PY - 2012

Y1 - 2012

KW - feature fusion

KW - object tracking wide area motion imagery

KW - statistical significance measure

UR - https://www.scopus.com/pages/publications/84872814710

UR - https://www.scopus.com/pages/publications/84872814710#tab=citedBy

U2 - 10.1145/2425333.2425358

DO - 10.1145/2425333.2425358

M3 - Conference contribution

AN - SCOPUS:84872814710

SN - 9781450316606

T3 - ACM International Conference Proceeding Series

BT - Proceedings - 8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012

T2 - 8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012

Y2 - 16 December 2012 through 19 December 2012

ER -

Feature prominence-based weighting scheme for video tracking

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this