Bus detection for intelligent transport systems using computer vision

Mijail Gerschuni; Alvaro Pardo

doi:10.1007/978-3-642-41827-3_8

Bus detection for intelligent transport systems using computer vision

Mijail Gerschuni, Alvaro Pardo

Department of Engineering

Universidad Católica del Uruguay

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

3 Scopus citations

Abstract

In this work we explore the use of computer vision for bus detection in the context of intelligent transport systems. We propose a simple and efficient method to detect moving objects using a probabolistic modelling of the scene. For classification of the detected moving regions we study the use of eigenfaces.

Original language	English
Title of host publication	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings
Pages	59-66
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-41827-3_8
State	Published - 2013
Event	18th Iberoamerican Congress on Pattern Recognition, CIARP 2013 - Havana, Cuba Duration: 20 Nov 2013 → 23 Nov 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8259 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th Iberoamerican Congress on Pattern Recognition, CIARP 2013
Country/Territory	Cuba
City	Havana
Period	20/11/13 → 23/11/13

Access to Document

10.1007/978-3-642-41827-3_8

Cite this

Gerschuni, M., & Pardo, A. (2013). Bus detection for intelligent transport systems using computer vision. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings (PART 2 ed., pp. 59-66). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8259 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-41827-3_8

Gerschuni, Mijail ; Pardo, Alvaro. / Bus detection for intelligent transport systems using computer vision. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings. PART 2. ed. 2013. pp. 59-66 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Bus detection for intelligent transport systems using computer vision",

abstract = "In this work we explore the use of computer vision for bus detection in the context of intelligent transport systems. We propose a simple and efficient method to detect moving objects using a probabolistic modelling of the scene. For classification of the detected moving regions we study the use of eigenfaces.",

author = "Mijail Gerschuni and Alvaro Pardo",

year = "2013",

doi = "10.1007/978-3-642-41827-3_8",

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booktitle = "Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings",

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Gerschuni, M & Pardo, A 2013, Bus detection for intelligent transport systems using computer vision. in Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8259 LNCS, pp. 59-66, 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, Havana, Cuba, 20/11/13. https://doi.org/10.1007/978-3-642-41827-3_8

Bus detection for intelligent transport systems using computer vision. / Gerschuni, Mijail; Pardo, Alvaro.
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings. PART 2. ed. 2013. p. 59-66 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8259 LNCS, No. PART 2).

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

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AB - In this work we explore the use of computer vision for bus detection in the context of intelligent transport systems. We propose a simple and efficient method to detect moving objects using a probabolistic modelling of the scene. For classification of the detected moving regions we study the use of eigenfaces.

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Gerschuni M, Pardo A. Bus detection for intelligent transport systems using computer vision. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 18th Iberoamerican Congress, CIARP 2013, Proceedings. PART 2 ed. 2013. p. 59-66. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-41827-3_8

Bus detection for intelligent transport systems using computer vision

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