Active contours for visual tracking: a geometric gradient based approach

A. Kumar, A. Yezzi, S. Kichenassamy, P. Olver, A. Tannenbaum

Research output: Contribution to journalConference article

3 Scopus citations

Abstract

In this note, we analyze the geometric active contour models proposed in [5, 19] from a curve evolution point of view and propose some modifications based on gradient flows relative to certain new metrics. This leads to a novel snake paradigm in which the feature of interest may be considered to lie at the bottom of a potential well. Thus the snake is attracted very naturally and efficiently to the desired feature. Moreover, we consider some 3-D active surface models based on these ideas.

Original languageEnglish (US)
Pages (from-to)4041-4046
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume4
StatePublished - Dec 1 1995
EventProceedings of the 1995 34th IEEE Conference on Decision and Control. Part 1 (of 4) - New Orleans, LA, USA
Duration: Dec 13 1995Dec 15 1995

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    Kumar, A., Yezzi, A., Kichenassamy, S., Olver, P., & Tannenbaum, A. (1995). Active contours for visual tracking: a geometric gradient based approach. Proceedings of the IEEE Conference on Decision and Control, 4, 4041-4046.