A near-infrared fusion scheme for automatic detection of vehicle passengers

I. Pavlidis; P. Symosek; B. Fritz; N. Papanikolopoulos

doi:10.1109/CVBVS.1999.781093

A near-infrared fusion scheme for automatic detection of vehicle passengers

I. Pavlidis, P. Symosek, B. Fritz, N. Papanikolopoulos

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

3 Scopus citations

Abstract

We undertook a study to determine if the automatic detection and counting of vehicle passengers is feasible. An automated passenger counting system would greatly facilitate the operation of freeway lanes reserved for car-pools (HOV lanes). In the present paper we report our findings regarding the appropriate sensor phenomenology and arrangement for the task. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments.

Original language	English (US)
Title of host publication	Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum
Subtitle of host publication	Methods and Applications, CVBVS 1999
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	41-48
Number of pages	8
ISBN (Electronic)	0769500501, 9780769500508
DOIs	https://doi.org/10.1109/CVBVS.1999.781093
State	Published - 1999
Externally published	Yes
Event	1st IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999 - Fort Collins, United States Duration: Jun 21 1999 → Jun 22 1999

Publication series

Name	Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999

Other

Other	1st IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999
Country/Territory	United States
City	Fort Collins
Period	6/21/99 → 6/22/99

Bibliographical note

Funding Information:
We would like to extend our deep appreciation to Kevin Schwartz, the MnDOT HOVL program manager for his generous help and support. Many thanks to Ben Worel and Jack Herndon for accommodating our needs in the Mn-ROAD facility. We would also like to thank Joe Keller for his help during the road tests. Finally, we would like to thank Scott Nelson for a valuable discussion regarding some technical issues in this project. This work was supported by the Minnesota Department of Transportation under contract #F 10041. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the funding agency.

Publisher Copyright:
© 1999 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access

10.1109/CVBVS.1999.781093

OpenUrl availability

Full text

Cite this

Pavlidis, I., Symosek, P., Fritz, B., & Papanikolopoulos, N. (1999). A near-infrared fusion scheme for automatic detection of vehicle passengers. In Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999 (pp. 41-48). Article 781093 (Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CVBVS.1999.781093

A near-infrared fusion scheme for automatic detection of vehicle passengers. / Pavlidis, I.; Symosek, P.; Fritz, B. et al.
Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999. Institute of Electrical and Electronics Engineers Inc., 1999. p. 41-48 781093 (Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999).

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

Pavlidis, I, Symosek, P, Fritz, B & Papanikolopoulos, N 1999, A near-infrared fusion scheme for automatic detection of vehicle passengers. in Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999., 781093, Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999, Institute of Electrical and Electronics Engineers Inc., pp. 41-48, 1st IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999, Fort Collins, United States, 6/21/99. https://doi.org/10.1109/CVBVS.1999.781093

Pavlidis I, Symosek P, Fritz B, Papanikolopoulos N. A near-infrared fusion scheme for automatic detection of vehicle passengers. In Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999. Institute of Electrical and Electronics Engineers Inc. 1999. p. 41-48. 781093. (Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999). doi: 10.1109/CVBVS.1999.781093

Pavlidis, I. ; Symosek, P. ; Fritz, B. et al. / A near-infrared fusion scheme for automatic detection of vehicle passengers. Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999. Institute of Electrical and Electronics Engineers Inc., 1999. pp. 41-48 (Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999).

@inproceedings{1b1e1252fb0c4e47bfcf5fc31456cf65,

title = "A near-infrared fusion scheme for automatic detection of vehicle passengers",

abstract = "We undertook a study to determine if the automatic detection and counting of vehicle passengers is feasible. An automated passenger counting system would greatly facilitate the operation of freeway lanes reserved for car-pools (HOV lanes). In the present paper we report our findings regarding the appropriate sensor phenomenology and arrangement for the task. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments.",

author = "I. Pavlidis and P. Symosek and B. Fritz and N. Papanikolopoulos",

note = "Funding Information: We would like to extend our deep appreciation to Kevin Schwartz, the MnDOT HOVL program manager for his generous help and support. Many thanks to Ben Worel and Jack Herndon for accommodating our needs in the Mn-ROAD facility. We would also like to thank Joe Keller for his help during the road tests. Finally, we would like to thank Scott Nelson for a valuable discussion regarding some technical issues in this project. This work was supported by the Minnesota Department of Transportation under contract #F 10041. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the funding agency. Publisher Copyright: {\textcopyright} 1999 IEEE.; 1st IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999 ; Conference date: 21-06-1999 Through 22-06-1999",

year = "1999",

doi = "10.1109/CVBVS.1999.781093",

language = "English (US)",

series = "Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "41--48",

booktitle = "Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum",

}

TY - GEN

T1 - A near-infrared fusion scheme for automatic detection of vehicle passengers

AU - Pavlidis, I.

AU - Symosek, P.

AU - Fritz, B.

AU - Papanikolopoulos, N.

N1 - Funding Information: We would like to extend our deep appreciation to Kevin Schwartz, the MnDOT HOVL program manager for his generous help and support. Many thanks to Ben Worel and Jack Herndon for accommodating our needs in the Mn-ROAD facility. We would also like to thank Joe Keller for his help during the road tests. Finally, we would like to thank Scott Nelson for a valuable discussion regarding some technical issues in this project. This work was supported by the Minnesota Department of Transportation under contract #F 10041. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the funding agency. Publisher Copyright: © 1999 IEEE.

PY - 1999

Y1 - 1999

N2 - We undertook a study to determine if the automatic detection and counting of vehicle passengers is feasible. An automated passenger counting system would greatly facilitate the operation of freeway lanes reserved for car-pools (HOV lanes). In the present paper we report our findings regarding the appropriate sensor phenomenology and arrangement for the task. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments.

AB - We undertook a study to determine if the automatic detection and counting of vehicle passengers is feasible. An automated passenger counting system would greatly facilitate the operation of freeway lanes reserved for car-pools (HOV lanes). In the present paper we report our findings regarding the appropriate sensor phenomenology and arrangement for the task. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments.

UR - http://www.scopus.com/inward/record.url?scp=33846966242&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33846966242&partnerID=8YFLogxK

U2 - 10.1109/CVBVS.1999.781093

DO - 10.1109/CVBVS.1999.781093

M3 - Conference contribution

AN - SCOPUS:33846966242

T3 - Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999

SP - 41

EP - 48

BT - Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1st IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999

Y2 - 21 June 1999 through 22 June 1999

ER -

A near-infrared fusion scheme for automatic detection of vehicle passengers

Abstract

Publication series

Other

Bibliographical note

UN SDGs

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this