Active contours for visual tracking: a geometric gradient based approach

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

Active contours for visual tracking: a geometric gradient based approach

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

School of Mathematics

Research output: Contribution to journal › Conference article › peer-review

4 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 language	English (US)
Pages (from-to)	4041-4046
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	4
State	Published - 1995
Event	Proceedings of the 1995 34th IEEE Conference on Decision and Control. Part 1 (of 4) - New Orleans, LA, USA Duration: Dec 13 1995 → Dec 15 1995

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title = "Active contours for visual tracking: a geometric gradient based approach",

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.",

author = "A. Kumar and A. Yezzi and S. Kichenassamy and P. Olver and A. Tannenbaum",

year = "1995",

language = "English (US)",

volume = "4",

pages = "4041--4046",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1995 34th IEEE Conference on Decision and Control. Part 1 (of 4) ; Conference date: 13-12-1995 Through 15-12-1995",

}

TY - JOUR

T1 - Active contours for visual tracking

T2 - Proceedings of the 1995 34th IEEE Conference on Decision and Control. Part 1 (of 4)

AU - Kumar, A.

AU - Yezzi, A.

AU - Kichenassamy, S.

AU - Olver, P.

AU - Tannenbaum, A.

PY - 1995

Y1 - 1995

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0029518255

UR - https://www.scopus.com/pages/publications/0029518255#tab=citedBy

M3 - Conference article

AN - SCOPUS:0029518255

SN - 0191-2216

VL - 4

SP - 4041

EP - 4046

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

Y2 - 13 December 1995 through 15 December 1995

ER -

Active contours for visual tracking: a geometric gradient based approach

Abstract

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