Occlusion tracking using logic models

James H. Von Brecht; Sheshadri R. Thiruvenkadam; Tony F. Chan

Occlusion tracking using logic models

James H. Von Brecht, Sheshadri R. Thiruvenkadam, Tony F. Chan

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

Abstract

We present a variational PDE based model for tracking objects under occlusion. Here, prior shape information is used to segment object boundaries that are occluded. The novelty in this work is that the shape prior is combined with the image term using logical operations pertaining to a unique occlusion scenario, thus avoiding locally optimal solutions. The model was tested on real and synthetic image sequences with promising results.

Original language	English (US)
Title of host publication	Proceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007
Pages	224-229
Number of pages	6
State	Published - Dec 1 2007
Externally published	Yes
Event	9th IASTED International Conference on Signal and Image Processing, SIP 2007 - Honolulu, HI, United States Duration: Aug 20 2007 → Aug 22 2007

Conference

Conference	9th IASTED International Conference on Signal and Image Processing, SIP 2007
Country/Territory	United States
City	Honolulu, HI
Period	08/20/07 → 08/22/07

Keywords

Image segmentation
Tracking
Variational methods

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing

Cite this

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title = "Occlusion tracking using logic models",

abstract = "We present a variational PDE based model for tracking objects under occlusion. Here, prior shape information is used to segment object boundaries that are occluded. The novelty in this work is that the shape prior is combined with the image term using logical operations pertaining to a unique occlusion scenario, thus avoiding locally optimal solutions. The model was tested on real and synthetic image sequences with promising results.",

keywords = "Image segmentation, Tracking, Variational methods",

author = "{Von Brecht}, {James H.} and Thiruvenkadam, {Sheshadri R.} and Chan, {Tony F.}",

year = "2007",

month = dec,

day = "1",

language = "English (US)",

isbn = "9780889866751",

pages = "224--229",

booktitle = "Proceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007",

note = "9th IASTED International Conference on Signal and Image Processing, SIP 2007 ; Conference date: 20-08-2007 Through 22-08-2007",

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TY - GEN

T1 - Occlusion tracking using logic models

AU - Von Brecht, James H.

AU - Thiruvenkadam, Sheshadri R.

AU - Chan, Tony F.

PY - 2007/12/1

Y1 - 2007/12/1

N2 - We present a variational PDE based model for tracking objects under occlusion. Here, prior shape information is used to segment object boundaries that are occluded. The novelty in this work is that the shape prior is combined with the image term using logical operations pertaining to a unique occlusion scenario, thus avoiding locally optimal solutions. The model was tested on real and synthetic image sequences with promising results.

AB - We present a variational PDE based model for tracking objects under occlusion. Here, prior shape information is used to segment object boundaries that are occluded. The novelty in this work is that the shape prior is combined with the image term using logical operations pertaining to a unique occlusion scenario, thus avoiding locally optimal solutions. The model was tested on real and synthetic image sequences with promising results.

KW - Image segmentation

KW - Tracking

KW - Variational methods

UR - http://www.scopus.com/inward/record.url?scp=56149104987&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:56149104987

SN - 9780889866751

SP - 224

EP - 229

BT - Proceedings of the 9th IASTED International Conference on Signal and Image Processing, SIP 2007

T2 - 9th IASTED International Conference on Signal and Image Processing, SIP 2007

Y2 - 20 August 2007 through 22 August 2007

ER -

Occlusion tracking using logic models

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this