Automatic detection of vehicle occupants: the imaging problem and its solution

The automatic detection and counting of vehicle occupants is a challenging research problem that was given little attention until recently. An automated vehicle-occupant-counting occupant-counting system would greatly facilitate the operation of freeway lanes reserved for car pools (high occupancy v...

Full description

Saved in:
Bibliographic Details
Published in:Machine vision and applications 2000-04, Vol.11 (6), p.313-320
Main Authors: Pavlidis, I, Symosek, P, Fritz, B, Bazakos, M, Papanikolopoulos, N
Format: Article
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 320
container_issue 6
container_start_page 313
container_title Machine vision and applications
container_volume 11
creator Pavlidis, I
Symosek, P
Fritz, B
Bazakos, M
Papanikolopoulos, N
description The automatic detection and counting of vehicle occupants is a challenging research problem that was given little attention until recently. An automated vehicle-occupant-counting occupant-counting system would greatly facilitate the operation of freeway lanes reserved for car pools (high occupancy vehicle lanes or HOV lanes). There are three major aspects of this problem: (a) the imaging aspect (sensor phenomenology), (b) the pattern recognition aspect, and (c) the system architecture aspect. In this paper, we present a solution to the imaging aspect of the problem. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments. We also compare our solution to other possible solutions across the electromagnetic spectrum, particularly in the thermal infrared and visible regions.
doi_str_mv 10.1007/s001380050116
format article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_27766574</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>27766574</sourcerecordid><originalsourceid>FETCH-LOGICAL-p184t-cd59d693d0d67fcabba7082ec01806f3d66706cc252b26d72ad5f252ea88f9b93</originalsourceid><addsrcrecordid>eNotjjtPwzAURj2ARCmM7J7YAtd24gdbVfGSKrqUuXLs69bIiQN2-P0UwfTpDOfoI-SGwR0DUPcFgAkN0AFj8owswAjeaDD8glyW8gEArVLtgryt5poHW6OjHiu6GvNIc6DfeIwuIc3OzZMda3mg9Yg0DvYQxwOdvnKfcKB29DTWQktO8696Rc6DTQWv_3dJ3p8ed-uXZrN9fl2vNs3EdFsb5zvjpREevFTB2b63CjRHB0yDDMJLqUA6xzvec-kVt74LJ0CrdTC9EUty-9c9HfmcsdT9EIvDlOyIeS57rpSUnWrFD5oQUFY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>27766574</pqid></control><display><type>article</type><title>Automatic detection of vehicle occupants: the imaging problem and its solution</title><source>Springer Link</source><creator>Pavlidis, I ; Symosek, P ; Fritz, B ; Bazakos, M ; Papanikolopoulos, N</creator><creatorcontrib>Pavlidis, I ; Symosek, P ; Fritz, B ; Bazakos, M ; Papanikolopoulos, N</creatorcontrib><description>The automatic detection and counting of vehicle occupants is a challenging research problem that was given little attention until recently. An automated vehicle-occupant-counting occupant-counting system would greatly facilitate the operation of freeway lanes reserved for car pools (high occupancy vehicle lanes or HOV lanes). There are three major aspects of this problem: (a) the imaging aspect (sensor phenomenology), (b) the pattern recognition aspect, and (c) the system architecture aspect. In this paper, we present a solution to the imaging aspect of the problem. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments. We also compare our solution to other possible solutions across the electromagnetic spectrum, particularly in the thermal infrared and visible regions.</description><identifier>ISSN: 0932-8092</identifier><identifier>DOI: 10.1007/s001380050116</identifier><language>eng</language><ispartof>Machine vision and applications, 2000-04, Vol.11 (6), p.313-320</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Pavlidis, I</creatorcontrib><creatorcontrib>Symosek, P</creatorcontrib><creatorcontrib>Fritz, B</creatorcontrib><creatorcontrib>Bazakos, M</creatorcontrib><creatorcontrib>Papanikolopoulos, N</creatorcontrib><title>Automatic detection of vehicle occupants: the imaging problem and its solution</title><title>Machine vision and applications</title><description>The automatic detection and counting of vehicle occupants is a challenging research problem that was given little attention until recently. An automated vehicle-occupant-counting occupant-counting system would greatly facilitate the operation of freeway lanes reserved for car pools (high occupancy vehicle lanes or HOV lanes). There are three major aspects of this problem: (a) the imaging aspect (sensor phenomenology), (b) the pattern recognition aspect, and (c) the system architecture aspect. In this paper, we present a solution to the imaging aspect of the problem. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments. We also compare our solution to other possible solutions across the electromagnetic spectrum, particularly in the thermal infrared and visible regions.</description><issn>0932-8092</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><recordid>eNotjjtPwzAURj2ARCmM7J7YAtd24gdbVfGSKrqUuXLs69bIiQN2-P0UwfTpDOfoI-SGwR0DUPcFgAkN0AFj8owswAjeaDD8glyW8gEArVLtgryt5poHW6OjHiu6GvNIc6DfeIwuIc3OzZMda3mg9Yg0DvYQxwOdvnKfcKB29DTWQktO8696Rc6DTQWv_3dJ3p8ed-uXZrN9fl2vNs3EdFsb5zvjpREevFTB2b63CjRHB0yDDMJLqUA6xzvec-kVt74LJ0CrdTC9EUty-9c9HfmcsdT9EIvDlOyIeS57rpSUnWrFD5oQUFY</recordid><startdate>20000401</startdate><enddate>20000401</enddate><creator>Pavlidis, I</creator><creator>Symosek, P</creator><creator>Fritz, B</creator><creator>Bazakos, M</creator><creator>Papanikolopoulos, N</creator><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20000401</creationdate><title>Automatic detection of vehicle occupants: the imaging problem and its solution</title><author>Pavlidis, I ; Symosek, P ; Fritz, B ; Bazakos, M ; Papanikolopoulos, N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p184t-cd59d693d0d67fcabba7082ec01806f3d66706cc252b26d72ad5f252ea88f9b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pavlidis, I</creatorcontrib><creatorcontrib>Symosek, P</creatorcontrib><creatorcontrib>Fritz, B</creatorcontrib><creatorcontrib>Bazakos, M</creatorcontrib><creatorcontrib>Papanikolopoulos, N</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Machine vision and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pavlidis, I</au><au>Symosek, P</au><au>Fritz, B</au><au>Bazakos, M</au><au>Papanikolopoulos, N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic detection of vehicle occupants: the imaging problem and its solution</atitle><jtitle>Machine vision and applications</jtitle><date>2000-04-01</date><risdate>2000</risdate><volume>11</volume><issue>6</issue><spage>313</spage><epage>320</epage><pages>313-320</pages><issn>0932-8092</issn><abstract>The automatic detection and counting of vehicle occupants is a challenging research problem that was given little attention until recently. An automated vehicle-occupant-counting occupant-counting system would greatly facilitate the operation of freeway lanes reserved for car pools (high occupancy vehicle lanes or HOV lanes). There are three major aspects of this problem: (a) the imaging aspect (sensor phenomenology), (b) the pattern recognition aspect, and (c) the system architecture aspect. In this paper, we present a solution to the imaging aspect of the problem. We propose a novel system based on fusion of near-infrared imaging signals and we demonstrate its adequacy with theoretical and experimental arguments. We also compare our solution to other possible solutions across the electromagnetic spectrum, particularly in the thermal infrared and visible regions.</abstract><doi>10.1007/s001380050116</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0932-8092
ispartof Machine vision and applications, 2000-04, Vol.11 (6), p.313-320
issn 0932-8092
language eng
recordid cdi_proquest_miscellaneous_27766574
source Springer Link
title Automatic detection of vehicle occupants: the imaging problem and its solution
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T23%3A30%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Automatic%20detection%20of%20vehicle%20occupants:%20the%20imaging%20problem%20and%20its%20solution&rft.jtitle=Machine%20vision%20and%20applications&rft.au=Pavlidis,%20I&rft.date=2000-04-01&rft.volume=11&rft.issue=6&rft.spage=313&rft.epage=320&rft.pages=313-320&rft.issn=0932-8092&rft_id=info:doi/10.1007/s001380050116&rft_dat=%3Cproquest%3E27766574%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p184t-cd59d693d0d67fcabba7082ec01806f3d66706cc252b26d72ad5f252ea88f9b93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=27766574&rft_id=info:pmid/&rfr_iscdi=true