An unbiased active contour algorithm for object tracking

Chun Leung Lam; Shiu Yin Yuen

doi:10.1016/S0167-8655(98)00015-4

An unbiased active contour algorithm for object tracking

Chun Leung Lam, Shiu Yin Yuen^*

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

24 Citations (Scopus)

Abstract

Active contour models for object tracking are investigated. The unbiased active contour algorithm, a model using edge feature based tracking, modifies the energy functions to correct the bias towards equal-distanced snaxels and small curvature, and eliminates the need to treat corners specially. Comparison with the William and Shah (1992) model shows substantial improvements.

Original language	English
Pages (from-to)	491-498
Journal	Pattern Recognition Letters
Volume	19
Issue number	5-6
DOIs	https://doi.org/10.1016/S0167-8655(98)00015-4
Publication status	Published - Apr 1998

Research Keywords

Active contour
Bias of shape
Complex background
Greedy algorithm
Non-rigid motion
Object tracking
Snake
Snaxel

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title = "An unbiased active contour algorithm for object tracking",

abstract = "Active contour models for object tracking are investigated. The unbiased active contour algorithm, a model using edge feature based tracking, modifies the energy functions to correct the bias towards equal-distanced snaxels and small curvature, and eliminates the need to treat corners specially. Comparison with the William and Shah (1992) model shows substantial improvements.",

keywords = "Active contour, Bias of shape, Complex background, Greedy algorithm, Non-rigid motion, Object tracking, Snake, Snaxel",

author = "Lam, {Chun Leung} and Yuen, {Shiu Yin}",

year = "1998",

month = apr,

doi = "10.1016/S0167-8655(98)00015-4",

language = "English",

volume = "19",

pages = "491--498",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - An unbiased active contour algorithm for object tracking

AU - Lam, Chun Leung

AU - Yuen, Shiu Yin

PY - 1998/4

Y1 - 1998/4

N2 - Active contour models for object tracking are investigated. The unbiased active contour algorithm, a model using edge feature based tracking, modifies the energy functions to correct the bias towards equal-distanced snaxels and small curvature, and eliminates the need to treat corners specially. Comparison with the William and Shah (1992) model shows substantial improvements.

AB - Active contour models for object tracking are investigated. The unbiased active contour algorithm, a model using edge feature based tracking, modifies the energy functions to correct the bias towards equal-distanced snaxels and small curvature, and eliminates the need to treat corners specially. Comparison with the William and Shah (1992) model shows substantial improvements.

KW - Active contour

KW - Bias of shape

KW - Complex background

KW - Greedy algorithm

KW - Non-rigid motion

KW - Object tracking

KW - Snake

KW - Snaxel

UR - http://www.scopus.com/inward/record.url?scp=0032044912&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0032044912&origin=recordpage

U2 - 10.1016/S0167-8655(98)00015-4

DO - 10.1016/S0167-8655(98)00015-4

M3 - RGC 21 - Publication in refereed journal

SN - 0167-8655

VL - 19

SP - 491

EP - 498

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 5-6

ER -

An unbiased active contour algorithm for object tracking

Abstract

Research Keywords

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