When trees are not green: Recent developments in an off-the-shelf system for robust color and multispectral based recognition and robot control

Mobile robots typically operate in environments where objects of interest are likely to appear as mixtures of colors and textures with complex outlines. To use color or multispectral imagery for identification and decision-making, systems that can quickly be trained by example to recognize such obje...

Full description

Saved in:
Bibliographic Details
Main Author: McConnell, R.K.
Format: Conference Proceeding
Language:English
Subjects:
Analog circuits
Discrete event simulation
Frequency synthesizers
Hardware design languages
Phase locked loops
Phase noise
Radio frequency
Robot control
Robust control
Semiconductor device modeling
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 209
container_issue
container_start_page 204
container_title
container_volume
creator McConnell, R.K.
description Mobile robots typically operate in environments where objects of interest are likely to appear as mixtures of colors and textures with complex outlines. To use color or multispectral imagery for identification and decision-making, systems that can quickly be trained by example to recognize such objects have distinct advantages. Two examples are shown of the use of WAY-2C, a system for color-based recognition that relies on a non-parametric statistical model to provide robust segmentation in the presence of real-world complexities. Recent enhancements to the system to increase the amount of information available for decision making are discussed as well as control interfaces.
doi_str_mv 10.1109/TEPRA.2009.5339621
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5339621</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5339621</ieee_id><sourcerecordid>5339621</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-2fb3ead68cddcc835a860d0864aae616399371967e044d4a27e90df1206d65d03</originalsourceid><addsrcrecordid>eNo1kM1OAjEUhWuUREBeQDd9gcHbn-lM3RGCPwmJhmBckjK9A2OGlrTFhKfwlR0UV_d8yfnO4hJyy2DMGOj75extMRlzAD3OhdCKswsyYJJLKbXm5SUZ6aL8ZwZXpM8FzzPIueqRwcnToFQhr8koxk8AEKzUwHSffH9s0dEUECM1AanziW46cg90gRW6RC1-Yev3uy5H2jhqHPV1naUtZnGLbU3jMSbc0doHGvz6EBOtfNuBcZbuDm1q4h6rFExL1yaipQErv3FNarz77XSSPzkuBd_ekF5t2oij8x2S98fZcvqczV-fXqaTedawIk8Zr9cCjVVlZW1VlSI3pQILpZLGoGJKaC0KplWBIKWVhheowdaMg7IqtyCG5O5vt0HE1T40OxOOq_NzxQ_JpGwk</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>When trees are not green: Recent developments in an off-the-shelf system for robust color and multispectral based recognition and robot control</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>McConnell, R.K.</creator><creatorcontrib>McConnell, R.K.</creatorcontrib><description>Mobile robots typically operate in environments where objects of interest are likely to appear as mixtures of colors and textures with complex outlines. To use color or multispectral imagery for identification and decision-making, systems that can quickly be trained by example to recognize such objects have distinct advantages. Two examples are shown of the use of WAY-2C, a system for color-based recognition that relies on a non-parametric statistical model to provide robust segmentation in the presence of real-world complexities. Recent enhancements to the system to increase the amount of information available for decision making are discussed as well as control interfaces.</description><identifier>ISSN: 2325-0526</identifier><identifier>ISBN: 9781424449910</identifier><identifier>ISBN: 142444991X</identifier><identifier>EISBN: 1424449928</identifier><identifier>EISBN: 9781424449927</identifier><identifier>DOI: 10.1109/TEPRA.2009.5339621</identifier><identifier>LCCN: 2009906674</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analog circuits ; Discrete event simulation ; Frequency synthesizers ; Hardware design languages ; Phase locked loops ; Phase noise ; Radio frequency ; Robot control ; Robust control ; Semiconductor device modeling</subject><ispartof>2009 IEEE International Conference on Technologies for Practical Robot Applications, 2009, p.204-209</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5339621$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,27908,54538,54903,54915</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5339621$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>McConnell, R.K.</creatorcontrib><title>When trees are not green: Recent developments in an off-the-shelf system for robust color and multispectral based recognition and robot control</title><title>2009 IEEE International Conference on Technologies for Practical Robot Applications</title><addtitle>TEPRA</addtitle><description>Mobile robots typically operate in environments where objects of interest are likely to appear as mixtures of colors and textures with complex outlines. To use color or multispectral imagery for identification and decision-making, systems that can quickly be trained by example to recognize such objects have distinct advantages. Two examples are shown of the use of WAY-2C, a system for color-based recognition that relies on a non-parametric statistical model to provide robust segmentation in the presence of real-world complexities. Recent enhancements to the system to increase the amount of information available for decision making are discussed as well as control interfaces.</description><subject>Analog circuits</subject><subject>Discrete event simulation</subject><subject>Frequency synthesizers</subject><subject>Hardware design languages</subject><subject>Phase locked loops</subject><subject>Phase noise</subject><subject>Radio frequency</subject><subject>Robot control</subject><subject>Robust control</subject><subject>Semiconductor device modeling</subject><issn>2325-0526</issn><isbn>9781424449910</isbn><isbn>142444991X</isbn><isbn>1424449928</isbn><isbn>9781424449927</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kM1OAjEUhWuUREBeQDd9gcHbn-lM3RGCPwmJhmBckjK9A2OGlrTFhKfwlR0UV_d8yfnO4hJyy2DMGOj75extMRlzAD3OhdCKswsyYJJLKbXm5SUZ6aL8ZwZXpM8FzzPIueqRwcnToFQhr8koxk8AEKzUwHSffH9s0dEUECM1AanziW46cg90gRW6RC1-Yev3uy5H2jhqHPV1naUtZnGLbU3jMSbc0doHGvz6EBOtfNuBcZbuDm1q4h6rFExL1yaipQErv3FNarz77XSSPzkuBd_ekF5t2oij8x2S98fZcvqczV-fXqaTedawIk8Zr9cCjVVlZW1VlSI3pQILpZLGoGJKaC0KplWBIKWVhheowdaMg7IqtyCG5O5vt0HE1T40OxOOq_NzxQ_JpGwk</recordid><startdate>200911</startdate><enddate>200911</enddate><creator>McConnell, R.K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200911</creationdate><title>When trees are not green: Recent developments in an off-the-shelf system for robust color and multispectral based recognition and robot control</title><author>McConnell, R.K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-2fb3ead68cddcc835a860d0864aae616399371967e044d4a27e90df1206d65d03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Analog circuits</topic><topic>Discrete event simulation</topic><topic>Frequency synthesizers</topic><topic>Hardware design languages</topic><topic>Phase locked loops</topic><topic>Phase noise</topic><topic>Radio frequency</topic><topic>Robot control</topic><topic>Robust control</topic><topic>Semiconductor device modeling</topic><toplevel>online_resources</toplevel><creatorcontrib>McConnell, R.K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>McConnell, R.K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>When trees are not green: Recent developments in an off-the-shelf system for robust color and multispectral based recognition and robot control</atitle><btitle>2009 IEEE International Conference on Technologies for Practical Robot Applications</btitle><stitle>TEPRA</stitle><date>2009-11</date><risdate>2009</risdate><spage>204</spage><epage>209</epage><pages>204-209</pages><issn>2325-0526</issn><isbn>9781424449910</isbn><isbn>142444991X</isbn><eisbn>1424449928</eisbn><eisbn>9781424449927</eisbn><abstract>Mobile robots typically operate in environments where objects of interest are likely to appear as mixtures of colors and textures with complex outlines. To use color or multispectral imagery for identification and decision-making, systems that can quickly be trained by example to recognize such objects have distinct advantages. Two examples are shown of the use of WAY-2C, a system for color-based recognition that relies on a non-parametric statistical model to provide robust segmentation in the presence of real-world complexities. Recent enhancements to the system to increase the amount of information available for decision making are discussed as well as control interfaces.</abstract><pub>IEEE</pub><doi>10.1109/TEPRA.2009.5339621</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2325-0526
ispartof 2009 IEEE International Conference on Technologies for Practical Robot Applications, 2009, p.204-209
issn 2325-0526
language eng
recordid cdi_ieee_primary_5339621
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Analog circuits
Discrete event simulation
Frequency synthesizers
Hardware design languages
Phase locked loops
Phase noise
Radio frequency
Robot control
Robust control
Semiconductor device modeling
title When trees are not green: Recent developments in an off-the-shelf system for robust color and multispectral based recognition and robot control
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T07%3A39%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=When%20trees%20are%20not%20green:%20Recent%20developments%20in%20an%20off-the-shelf%20system%20for%20robust%20color%20and%20multispectral%20based%20recognition%20and%20robot%20control&rft.btitle=2009%20IEEE%20International%20Conference%20on%20Technologies%20for%20Practical%20Robot%20Applications&rft.au=McConnell,%20R.K.&rft.date=2009-11&rft.spage=204&rft.epage=209&rft.pages=204-209&rft.issn=2325-0526&rft.isbn=9781424449910&rft.isbn_list=142444991X&rft_id=info:doi/10.1109/TEPRA.2009.5339621&rft.eisbn=1424449928&rft.eisbn_list=9781424449927&rft_dat=%3Cieee_6IE%3E5339621%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-2fb3ead68cddcc835a860d0864aae616399371967e044d4a27e90df1206d65d03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5339621&rfr_iscdi=true