Adaptive video background replacement

Baoxin Li; M. Ibrahim Sezan

doi:10.1109/ICME.2001.1237708

Adaptive video background replacement

Baoxin Li, M. Ibrahim Sezan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Scopus citations

Abstract

A video background replacement algorithm is proposed, which is based on background subtraction with adaptive background modeling. Like one early work ([1]) in this direction, it does not require a blue screen but needs only a pre-recorded background scene image. The problem is formulated as one that detects statistical outliers with respect to the given background. A twopass process, which refines initial segmentation based on the statistics on a pixel's neighborhood, is adopted in order to suppress false positives in the background region while increasing detection rate for the foreground object. Experiments with real image sequences are presented, along with comparisons with some other existing methods, illustrating the advantages of the proposed algorithm.

Original language	English (US)
Title of host publication	Proceedings - IEEE International Conference on Multimedia and Expo
Publisher	IEEE Computer Society
Pages	269-272
Number of pages	4
ISBN (Electronic)	0769511988
DOIs	https://doi.org/10.1109/ICME.2001.1237708
State	Published - Jan 1 2001
Externally published	Yes
Event	2001 IEEE International Conference on Multimedia and Expo, ICME 2001 - Tokyo, Japan Duration: Aug 22 2001 → Aug 25 2001

Publication series

Name	Proceedings - IEEE International Conference on Multimedia and Expo
ISSN (Print)	1945-7871
ISSN (Electronic)	1945-788X

Other

Other	2001 IEEE International Conference on Multimedia and Expo, ICME 2001
Country/Territory	Japan
City	Tokyo
Period	8/22/01 → 8/25/01

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/ICME.2001.1237708

Cite this

Li, B & Sezan, MI 2001, Adaptive video background replacement. in Proceedings - IEEE International Conference on Multimedia and Expo., 1237708, Proceedings - IEEE International Conference on Multimedia and Expo, IEEE Computer Society, pp. 269-272, 2001 IEEE International Conference on Multimedia and Expo, ICME 2001, Tokyo, Japan, 8/22/01. https://doi.org/10.1109/ICME.2001.1237708

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title = "Adaptive video background replacement",

abstract = "A video background replacement algorithm is proposed, which is based on background subtraction with adaptive background modeling. Like one early work ([1]) in this direction, it does not require a blue screen but needs only a pre-recorded background scene image. The problem is formulated as one that detects statistical outliers with respect to the given background. A twopass process, which refines initial segmentation based on the statistics on a pixel's neighborhood, is adopted in order to suppress false positives in the background region while increasing detection rate for the foreground object. Experiments with real image sequences are presented, along with comparisons with some other existing methods, illustrating the advantages of the proposed algorithm.",

author = "Baoxin Li and Sezan, {M. Ibrahim}",

year = "2001",

month = jan,

day = "1",

doi = "10.1109/ICME.2001.1237708",

language = "English (US)",

series = "Proceedings - IEEE International Conference on Multimedia and Expo",

publisher = "IEEE Computer Society",

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booktitle = "Proceedings - IEEE International Conference on Multimedia and Expo",

note = "2001 IEEE International Conference on Multimedia and Expo, ICME 2001 ; Conference date: 22-08-2001 Through 25-08-2001",

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AB - A video background replacement algorithm is proposed, which is based on background subtraction with adaptive background modeling. Like one early work ([1]) in this direction, it does not require a blue screen but needs only a pre-recorded background scene image. The problem is formulated as one that detects statistical outliers with respect to the given background. A twopass process, which refines initial segmentation based on the statistics on a pixel's neighborhood, is adopted in order to suppress false positives in the background region while increasing detection rate for the foreground object. Experiments with real image sequences are presented, along with comparisons with some other existing methods, illustrating the advantages of the proposed algorithm.

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M3 - Conference contribution

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BT - Proceedings - IEEE International Conference on Multimedia and Expo

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T2 - 2001 IEEE International Conference on Multimedia and Expo, ICME 2001

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ER -

Adaptive video background replacement

Abstract

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