Tracking with Active Contours Using Dynamically Updated Shape Information

Chiverton John; Xie Xianghua; Majid Mirmehdi

Tracking with Active Contours Using Dynamically Updated Shape Information

Chiverton John, Xie Xianghua, Majid Mirmehdi

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

3 Citations (Scopus)

Abstract

An active contour based tracking framework is described that generates and integrates dynamic shape information without having to learn a priori shape constraints. This dynamic shape information is combined with dynamic photometric foreground model matching and background mismatching. Boundary based optical flow is also used to estimate the location of the object in each new frame, incorporating Procrustes shape alignment. Promising results under complex deformations of shape, varied levels of noise, and close-to-complete occlusion in complex textured backgrounds are presented.

Translated title of the contribution	Tracking with Active Contours Using Dynamically Updated Shape Information
Original language	English
Title of host publication	British Machine Vision Conference 2008
Publisher	BMVA Press
Publication status	Published - 2008

Bibliographical note

Other page information: 253-262
Conference Proceedings/Title of Journal: British Machine Vision Conference 2008
Other identifier: 2000932

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@inproceedings{06eb2e8de3a64bd3a097e316376d26b6,

title = "Tracking with Active Contours Using Dynamically Updated Shape Information",

abstract = "An active contour based tracking framework is described that generates and integrates dynamic shape information without having to learn a priori shape constraints. This dynamic shape information is combined with dynamic photometric foreground model matching and background mismatching. Boundary based optical flow is also used to estimate the location of the object in each new frame, incorporating Procrustes shape alignment. Promising results under complex deformations of shape, varied levels of noise, and close-to-complete occlusion in complex textured backgrounds are presented. ",

author = "Chiverton John and Xie Xianghua and Majid Mirmehdi",

note = "Other page information: 253-262 Conference Proceedings/Title of Journal: British Machine Vision Conference 2008 Other identifier: 2000932",

year = "2008",

language = "English",

booktitle = "British Machine Vision Conference 2008",

publisher = "BMVA Press",

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TY - GEN

T1 - Tracking with Active Contours Using Dynamically Updated Shape Information

AU - John, Chiverton

AU - Xianghua, Xie

AU - Mirmehdi, Majid

N1 - Other page information: 253-262 Conference Proceedings/Title of Journal: British Machine Vision Conference 2008 Other identifier: 2000932

PY - 2008

Y1 - 2008

N2 - An active contour based tracking framework is described that generates and integrates dynamic shape information without having to learn a priori shape constraints. This dynamic shape information is combined with dynamic photometric foreground model matching and background mismatching. Boundary based optical flow is also used to estimate the location of the object in each new frame, incorporating Procrustes shape alignment. Promising results under complex deformations of shape, varied levels of noise, and close-to-complete occlusion in complex textured backgrounds are presented.

AB - An active contour based tracking framework is described that generates and integrates dynamic shape information without having to learn a priori shape constraints. This dynamic shape information is combined with dynamic photometric foreground model matching and background mismatching. Boundary based optical flow is also used to estimate the location of the object in each new frame, incorporating Procrustes shape alignment. Promising results under complex deformations of shape, varied levels of noise, and close-to-complete occlusion in complex textured backgrounds are presented.

M3 - Conference Contribution (Conference Proceeding)

BT - British Machine Vision Conference 2008

PB - BMVA Press

ER -

Tracking with Active Contours Using Dynamically Updated Shape Information

Abstract

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