by McIvor, A, Zang, Q and Klette, R
Abstract:
This paper reviews papers on tracking people in a video surveillance system, and it presents a newsy stem designed for being able to cope with shadows in a real-time application for counting people which is one of the remaining main problems in adaptive background subtraction in such video surveillance systems.
Reference:
The background subtraction problem for video surveillance systems (McIvor, A, Zang, Q and Klette, R), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, volume 1998, 2001.
Bibtex Entry:
@inproceedings{mcivor2001thesystems,
author = "McIvor, A and Zang, Q and Klette, R",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "176--183",
publisher = "Springer Verlag",
title = "The background subtraction problem for video surveillance systems",
volume = "1998",
year = "2001",
abstract = "This paper reviews papers on tracking people in a video surveillance system, and it presents a newsy stem designed for being able to cope with shadows in a real-time application for counting people which is one of the remaining main problems in adaptive background subtraction in such video surveillance systems.",
isbn = "3540416943",
issn = "0302-9743",
eissn = "1611-3349",
language = "eng",
}