Focal-plane moving object segmentation for realtime video surveillance

David Lopez Vilariño; Piotr Dudek; Diego Cabello Ferrer

doi:10.1109/ISCAS.2008.4541739

Focal-plane moving object segmentation for realtime video surveillance

David Lopez Vilariño, Piotr Dudek, Diego Cabello Ferrer

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper a new technique for segmenting and tracking moving objects in a user-defined control area is presented. It is based on an active contours technique called Pixel-Level Snakes (PLS) whose capabilities to manage changes of contour topology and to introduce additional constraints in the contour evolution are used to define a control area as well as to segment and track moving objects. Furthermore, PLS can reach a very high speed of response when they are implemented on a pixel-parallel hardware platform. To illustrate the validity of the proposal some examples and results regarding the computation time achieved in the implementation of the proposed algorithm on a cellular processor array (SCAMP-3 vision chip) have been included. ©2008 IEEE.

Original language	English
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems\|Proc IEEE Int Symp Circuits Syst
Pages	1600-1603
Number of pages	3
DOIs	https://doi.org/10.1109/ISCAS.2008.4541739
Publication status	Published - 2008
Event	2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA Duration: 1 Jul 2008 → …

Conference

Conference	2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
City	Seattle, WA
Period	1/07/08 → …

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10.1109/ISCAS.2008.4541739

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@inproceedings{e0a9cfacd3b645aeb1864e0adf6de757,

title = "Focal-plane moving object segmentation for realtime video surveillance",

abstract = "In this paper a new technique for segmenting and tracking moving objects in a user-defined control area is presented. It is based on an active contours technique called Pixel-Level Snakes (PLS) whose capabilities to manage changes of contour topology and to introduce additional constraints in the contour evolution are used to define a control area as well as to segment and track moving objects. Furthermore, PLS can reach a very high speed of response when they are implemented on a pixel-parallel hardware platform. To illustrate the validity of the proposal some examples and results regarding the computation time achieved in the implementation of the proposed algorithm on a cellular processor array (SCAMP-3 vision chip) have been included. {\textcopyright}2008 IEEE.",

author = "Vilari{\~n}o, \{David Lopez\} and Piotr Dudek and Ferrer, \{Diego Cabello\}",

year = "2008",

doi = "10.1109/ISCAS.2008.4541739",

language = "English",

isbn = "9781424416844",

pages = "1600--1603",

booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems|Proc IEEE Int Symp Circuits Syst",

note = "2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 ; Conference date: 01-07-2008",

}

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T1 - Focal-plane moving object segmentation for realtime video surveillance

AU - Vilariño, David Lopez

AU - Dudek, Piotr

AU - Ferrer, Diego Cabello

PY - 2008

Y1 - 2008

N2 - In this paper a new technique for segmenting and tracking moving objects in a user-defined control area is presented. It is based on an active contours technique called Pixel-Level Snakes (PLS) whose capabilities to manage changes of contour topology and to introduce additional constraints in the contour evolution are used to define a control area as well as to segment and track moving objects. Furthermore, PLS can reach a very high speed of response when they are implemented on a pixel-parallel hardware platform. To illustrate the validity of the proposal some examples and results regarding the computation time achieved in the implementation of the proposed algorithm on a cellular processor array (SCAMP-3 vision chip) have been included. ©2008 IEEE.

AB - In this paper a new technique for segmenting and tracking moving objects in a user-defined control area is presented. It is based on an active contours technique called Pixel-Level Snakes (PLS) whose capabilities to manage changes of contour topology and to introduce additional constraints in the contour evolution are used to define a control area as well as to segment and track moving objects. Furthermore, PLS can reach a very high speed of response when they are implemented on a pixel-parallel hardware platform. To illustrate the validity of the proposal some examples and results regarding the computation time achieved in the implementation of the proposed algorithm on a cellular processor array (SCAMP-3 vision chip) have been included. ©2008 IEEE.

UR - https://www.scopus.com/pages/publications/51749100417

U2 - 10.1109/ISCAS.2008.4541739

DO - 10.1109/ISCAS.2008.4541739

M3 - Conference contribution

SN - 9781424416844

SP - 1600

EP - 1603

BT - Proceedings - IEEE International Symposium on Circuits and Systems|Proc IEEE Int Symp Circuits Syst

T2 - 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008

Y2 - 1 July 2008

ER -

Focal-plane moving object segmentation for realtime video surveillance

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