Tracking objects with level sets

Mark C. Moelich; Tony F. Chan

Tracking objects with level sets

Mark C. Moelich, Tony F. Chan

Research output: Contribution to conference › Paper › peer-review

Abstract

Tracking objects in video sequences is a challenging problem for which many techniques and algorithms have been developed. This paper focuses on using region-based segmentation and level sets as the basis of a tracking algorithm. This approach is relatively new and has much promise. The main ideas behind this approach are explained and then demonstrated with two algorithms. The first algorithm is capable of tracking a selected object in the presence of a moving camera. The second algorithm assumes a fixed camera, but is able to detect and isolate multiple moving objects in low-resolution video, without user input.

Original language	English (US)
State	Published - 2004
Externally published	Yes
Event	European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004 - Jyvaskyla, Finland Duration: Jul 24 2004 → Jul 28 2004

Other

Other	European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004
Country/Territory	Finland
City	Jyvaskyla
Period	07/24/04 → 07/28/04

Keywords

Level sets
Region-based
Segmentation
Tracking
Video

ASJC Scopus subject areas

Artificial Intelligence
Applied Mathematics

Cite this

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title = "Tracking objects with level sets",

abstract = "Tracking objects in video sequences is a challenging problem for which many techniques and algorithms have been developed. This paper focuses on using region-based segmentation and level sets as the basis of a tracking algorithm. This approach is relatively new and has much promise. The main ideas behind this approach are explained and then demonstrated with two algorithms. The first algorithm is capable of tracking a selected object in the presence of a moving camera. The second algorithm assumes a fixed camera, but is able to detect and isolate multiple moving objects in low-resolution video, without user input.",

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author = "Moelich, {Mark C.} and Chan, {Tony F.}",

year = "2004",

language = "English (US)",

note = "European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004 ; Conference date: 24-07-2004 Through 28-07-2004",

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TY - CONF

T1 - Tracking objects with level sets

AU - Moelich, Mark C.

AU - Chan, Tony F.

PY - 2004

Y1 - 2004

N2 - Tracking objects in video sequences is a challenging problem for which many techniques and algorithms have been developed. This paper focuses on using region-based segmentation and level sets as the basis of a tracking algorithm. This approach is relatively new and has much promise. The main ideas behind this approach are explained and then demonstrated with two algorithms. The first algorithm is capable of tracking a selected object in the presence of a moving camera. The second algorithm assumes a fixed camera, but is able to detect and isolate multiple moving objects in low-resolution video, without user input.

AB - Tracking objects in video sequences is a challenging problem for which many techniques and algorithms have been developed. This paper focuses on using region-based segmentation and level sets as the basis of a tracking algorithm. This approach is relatively new and has much promise. The main ideas behind this approach are explained and then demonstrated with two algorithms. The first algorithm is capable of tracking a selected object in the presence of a moving camera. The second algorithm assumes a fixed camera, but is able to detect and isolate multiple moving objects in low-resolution video, without user input.

KW - Level sets

KW - Region-based

KW - Segmentation

KW - Tracking

KW - Video

UR - http://www.scopus.com/inward/record.url?scp=84893436830&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84893436830

T2 - European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004

Y2 - 24 July 2004 through 28 July 2004

ER -

Tracking objects with level sets

Abstract

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Keywords

ASJC Scopus subject areas

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