Tracking with Active Contours Using Dynamically Updated Shape Information

Chiverton John, Xie Xianghua, Majid Mirmehdi

Research output: Chapter in Book/Report/Conference proceedingConference 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 contributionTracking with Active Contours Using Dynamically Updated Shape Information
Original languageEnglish
Title of host publicationBritish Machine Vision Conference 2008
PublisherBMVA Press
Publication statusPublished - 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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