An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas

Human-elephant conflict is a major problem leading to crop damage, human death and injuries caused by elephants, and elephants being killed by humans. In this paper, we propose an automated unsupervised elephant image detection system (EIDS) as a solution to human-elephant conflict in the context of...

Full description

Saved in:
Bibliographic Details
Published in:TheScientificWorld 2014-01, Vol.2014 (2014), p.1-10
Main Authors: Sugumar, S. J., Jayaparvathy, R.
Format: Article
Language:English
Subjects:
Animal Migration - physiology
Animals
Automation
Construction
Crop damage
Databases, Factual
Elephantidae
Elephants
Elephants - physiology
Farms
Food
Forest management
Forests
Human beings
Humans
Identification systems
Image processing
Image Processing, Computer-Assisted - methods
Influence on nature
Methods
Population density
Water shortages
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c605t-4f13067a73f5c1d1803b434e4891803627722f1aac1a3730bec88724a841e5f33
cites cdi_FETCH-LOGICAL-c605t-4f13067a73f5c1d1803b434e4891803627722f1aac1a3730bec88724a841e5f33
container_end_page 10
container_issue 2014
container_start_page 1
container_title TheScientificWorld
container_volume 2014
creator Sugumar, S. J.
Jayaparvathy, R.
description Human-elephant conflict is a major problem leading to crop damage, human death and injuries caused by elephants, and elephants being killed by humans. In this paper, we propose an automated unsupervised elephant image detection system (EIDS) as a solution to human-elephant conflict in the context of elephant conservation. The elephant’s image is captured in the forest border areas and is sent to a base station via an RF network. The received image is decomposed using Haar wavelet to obtain multilevel wavelet coefficients, with which we perform image feature extraction and similarity match between the elephant query image and the database image using image vision algorithms. A GSM message is sent to the forest officials indicating that an elephant has been detected in the forest border and is approaching human habitat. We propose an optimized distance metric to improve the image retrieval time from the database. We compare the optimized distance metric with the popular Euclidean and Manhattan distance methods. The proposed optimized distance metric retrieves more images with lesser retrieval time than the other distance metrics which makes the optimized distance method more efficient and reliable.
doi_str_mv 10.1155/2014/393958
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_ee924849f8154faaa60d2f063dcb1b20</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A413711467</galeid><doaj_id>oai_doaj_org_article_ee924849f8154faaa60d2f063dcb1b20</doaj_id><sourcerecordid>A413711467</sourcerecordid><originalsourceid>FETCH-LOGICAL-c605t-4f13067a73f5c1d1803b434e4891803627722f1aac1a3730bec88724a841e5f33</originalsourceid><addsrcrecordid>eNqNkk1vEzEQhlcIREPhxB1Z4oJAaT3rr80FKZQWIlVCgiJxsybeceJodx28m6L-e5xsqVpOlQ-2Zp55NTN-i-I18BMApU5LDvJUzMRMVU-KCShhpkbKX0-LSSmUnmqQ_Kh40fcbzkVlQD0vjkqpjKwqPSlw3rFFu03xmmr2nbBhV6GlHMIVsc80kBtC7NiPm36glvmY2HlD2zV2A1t0Q9r1-yw2sVuxYU3sIibqB_YpppoSmyfC_mXxzGPT06vb-7j4eXF-dfZ1evnty-Jsfjl1mqthKj0Irg0a4ZWDGioullJIktVs_9alMWXpAdEBCiP4klxVmVJiJYGUF-K4WIy6dcSN3abQYrqxEYM9BGJaWUxDcA1ZolkpKznzFSjpEVHzuvRci9otYVnyrPVx1Nruli3VjvKo2DwQfZjpwtqu4rUVudn8EVng3a1Air93eSW2Db2jpsGO4q63oLgSArTSj0GFklKAyejb_9BN3KUub_VAaVWC3lMnI7XCPGvofMwtunxqaoOLHfmQ43MJwgDIQ8GHscCl2PeJ_N2gwO3eYnZvMTtaLNNv7u_mjv3nqQy8H4F16Gr8Ex6nRhkhj_dgOZNSib-m6N-g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1503652167</pqid></control><display><type>article</type><title>An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas</title><source>Wiley-Blackwell Open Access Collection</source><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>PubMed Central</source><creator>Sugumar, S. J. ; Jayaparvathy, R.</creator><contributor>Bourennane, S. ; Marot, J.</contributor><creatorcontrib>Sugumar, S. J. ; Jayaparvathy, R. ; Bourennane, S. ; Marot, J.</creatorcontrib><description>Human-elephant conflict is a major problem leading to crop damage, human death and injuries caused by elephants, and elephants being killed by humans. In this paper, we propose an automated unsupervised elephant image detection system (EIDS) as a solution to human-elephant conflict in the context of elephant conservation. The elephant’s image is captured in the forest border areas and is sent to a base station via an RF network. The received image is decomposed using Haar wavelet to obtain multilevel wavelet coefficients, with which we perform image feature extraction and similarity match between the elephant query image and the database image using image vision algorithms. A GSM message is sent to the forest officials indicating that an elephant has been detected in the forest border and is approaching human habitat. We propose an optimized distance metric to improve the image retrieval time from the database. We compare the optimized distance metric with the popular Euclidean and Manhattan distance methods. The proposed optimized distance metric retrieves more images with lesser retrieval time than the other distance metrics which makes the optimized distance method more efficient and reliable.</description><identifier>ISSN: 2356-6140</identifier><identifier>ISSN: 1537-744X</identifier><identifier>EISSN: 1537-744X</identifier><identifier>DOI: 10.1155/2014/393958</identifier><identifier>PMID: 24574886</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Animal Migration - physiology ; Animals ; Automation ; Construction ; Crop damage ; Databases, Factual ; Elephantidae ; Elephants ; Elephants - physiology ; Farms ; Food ; Forest management ; Forests ; Human beings ; Humans ; Identification systems ; Image processing ; Image Processing, Computer-Assisted - methods ; Influence on nature ; Methods ; Population density ; Water shortages</subject><ispartof>TheScientificWorld, 2014-01, Vol.2014 (2014), p.1-10</ispartof><rights>Copyright © 2014 S. J. Sugumar and R. Jayaparvathy.</rights><rights>COPYRIGHT 2014 John Wiley &amp; Sons, Inc.</rights><rights>Copyright © 2014 S. J. Sugumar and R. Jayaparvathy. S. J. Sugumar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2014 S. J. Sugumar and R. Jayaparvathy. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c605t-4f13067a73f5c1d1803b434e4891803627722f1aac1a3730bec88724a841e5f33</citedby><cites>FETCH-LOGICAL-c605t-4f13067a73f5c1d1803b434e4891803627722f1aac1a3730bec88724a841e5f33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1503652167/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1503652167?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,25734,27905,27906,36993,36994,44571,53772,53774,74875</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24574886$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bourennane, S.</contributor><contributor>Marot, J.</contributor><creatorcontrib>Sugumar, S. J.</creatorcontrib><creatorcontrib>Jayaparvathy, R.</creatorcontrib><title>An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas</title><title>TheScientificWorld</title><addtitle>ScientificWorldJournal</addtitle><description>Human-elephant conflict is a major problem leading to crop damage, human death and injuries caused by elephants, and elephants being killed by humans. In this paper, we propose an automated unsupervised elephant image detection system (EIDS) as a solution to human-elephant conflict in the context of elephant conservation. The elephant’s image is captured in the forest border areas and is sent to a base station via an RF network. The received image is decomposed using Haar wavelet to obtain multilevel wavelet coefficients, with which we perform image feature extraction and similarity match between the elephant query image and the database image using image vision algorithms. A GSM message is sent to the forest officials indicating that an elephant has been detected in the forest border and is approaching human habitat. We propose an optimized distance metric to improve the image retrieval time from the database. We compare the optimized distance metric with the popular Euclidean and Manhattan distance methods. The proposed optimized distance metric retrieves more images with lesser retrieval time than the other distance metrics which makes the optimized distance method more efficient and reliable.</description><subject>Animal Migration - physiology</subject><subject>Animals</subject><subject>Automation</subject><subject>Construction</subject><subject>Crop damage</subject><subject>Databases, Factual</subject><subject>Elephantidae</subject><subject>Elephants</subject><subject>Elephants - physiology</subject><subject>Farms</subject><subject>Food</subject><subject>Forest management</subject><subject>Forests</subject><subject>Human beings</subject><subject>Humans</subject><subject>Identification systems</subject><subject>Image processing</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Influence on nature</subject><subject>Methods</subject><subject>Population density</subject><subject>Water shortages</subject><issn>2356-6140</issn><issn>1537-744X</issn><issn>1537-744X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkk1vEzEQhlcIREPhxB1Z4oJAaT3rr80FKZQWIlVCgiJxsybeceJodx28m6L-e5xsqVpOlQ-2Zp55NTN-i-I18BMApU5LDvJUzMRMVU-KCShhpkbKX0-LSSmUnmqQ_Kh40fcbzkVlQD0vjkqpjKwqPSlw3rFFu03xmmr2nbBhV6GlHMIVsc80kBtC7NiPm36glvmY2HlD2zV2A1t0Q9r1-yw2sVuxYU3sIibqB_YpppoSmyfC_mXxzGPT06vb-7j4eXF-dfZ1evnty-Jsfjl1mqthKj0Irg0a4ZWDGioullJIktVs_9alMWXpAdEBCiP4klxVmVJiJYGUF-K4WIy6dcSN3abQYrqxEYM9BGJaWUxDcA1ZolkpKznzFSjpEVHzuvRci9otYVnyrPVx1Nruli3VjvKo2DwQfZjpwtqu4rUVudn8EVng3a1Air93eSW2Db2jpsGO4q63oLgSArTSj0GFklKAyejb_9BN3KUub_VAaVWC3lMnI7XCPGvofMwtunxqaoOLHfmQ43MJwgDIQ8GHscCl2PeJ_N2gwO3eYnZvMTtaLNNv7u_mjv3nqQy8H4F16Gr8Ex6nRhkhj_dgOZNSib-m6N-g</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Sugumar, S. J.</creator><creator>Jayaparvathy, R.</creator><general>Hindawi Publishing Corporation</general><general>John Wiley &amp; Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>7X8</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140101</creationdate><title>An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas</title><author>Sugumar, S. J. ; Jayaparvathy, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c605t-4f13067a73f5c1d1803b434e4891803627722f1aac1a3730bec88724a841e5f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Animal Migration - physiology</topic><topic>Animals</topic><topic>Automation</topic><topic>Construction</topic><topic>Crop damage</topic><topic>Databases, Factual</topic><topic>Elephantidae</topic><topic>Elephants</topic><topic>Elephants - physiology</topic><topic>Farms</topic><topic>Food</topic><topic>Forest management</topic><topic>Forests</topic><topic>Human beings</topic><topic>Humans</topic><topic>Identification systems</topic><topic>Image processing</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Influence on nature</topic><topic>Methods</topic><topic>Population density</topic><topic>Water shortages</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sugumar, S. J.</creatorcontrib><creatorcontrib>Jayaparvathy, R.</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medicine (ProQuest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East &amp; Africa Database</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>TheScientificWorld</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sugumar, S. J.</au><au>Jayaparvathy, R.</au><au>Bourennane, S.</au><au>Marot, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas</atitle><jtitle>TheScientificWorld</jtitle><addtitle>ScientificWorldJournal</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>2014</volume><issue>2014</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>2356-6140</issn><issn>1537-744X</issn><eissn>1537-744X</eissn><abstract>Human-elephant conflict is a major problem leading to crop damage, human death and injuries caused by elephants, and elephants being killed by humans. In this paper, we propose an automated unsupervised elephant image detection system (EIDS) as a solution to human-elephant conflict in the context of elephant conservation. The elephant’s image is captured in the forest border areas and is sent to a base station via an RF network. The received image is decomposed using Haar wavelet to obtain multilevel wavelet coefficients, with which we perform image feature extraction and similarity match between the elephant query image and the database image using image vision algorithms. A GSM message is sent to the forest officials indicating that an elephant has been detected in the forest border and is approaching human habitat. We propose an optimized distance metric to improve the image retrieval time from the database. We compare the optimized distance metric with the popular Euclidean and Manhattan distance methods. The proposed optimized distance metric retrieves more images with lesser retrieval time than the other distance metrics which makes the optimized distance method more efficient and reliable.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>24574886</pmid><doi>10.1155/2014/393958</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2356-6140
ispartof TheScientificWorld, 2014-01, Vol.2014 (2014), p.1-10
issn 2356-6140
1537-744X
1537-744X
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_ee924849f8154faaa60d2f063dcb1b20
source Wiley-Blackwell Open Access Collection; Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central
subjects Animal Migration - physiology
Animals
Automation
Construction
Crop damage
Databases, Factual
Elephantidae
Elephants
Elephants - physiology
Farms
Food
Forest management
Forests
Human beings
Humans
Identification systems
Image processing
Image Processing, Computer-Assisted - methods
Influence on nature
Methods
Population density
Water shortages
title An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T12%3A13%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20Improved%20Real%20Time%20Image%20Detection%20System%20for%20Elephant%20Intrusion%20along%20the%20Forest%20Border%20Areas&rft.jtitle=TheScientificWorld&rft.au=Sugumar,%20S.%20J.&rft.date=2014-01-01&rft.volume=2014&rft.issue=2014&rft.spage=1&rft.epage=10&rft.pages=1-10&rft.issn=2356-6140&rft.eissn=1537-744X&rft_id=info:doi/10.1155/2014/393958&rft_dat=%3Cgale_doaj_%3EA413711467%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c605t-4f13067a73f5c1d1803b434e4891803627722f1aac1a3730bec88724a841e5f33%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1503652167&rft_id=info:pmid/24574886&rft_galeid=A413711467&rfr_iscdi=true