{"id":"https://openalex.org/W2000808560","doi":"https://doi.org/10.1109/wacv.2014.6836003","title":"Data association based ant tracking with interactive error correction","display_name":"Data association based ant tracking with interactive error correction","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2000808560","doi":"https://doi.org/10.1109/wacv.2014.6836003","mag":"2000808560"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2014.6836003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2014.6836003","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Winter Conference on Applications of Computer Vision","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103899208","display_name":"Hoan Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hoan Nguyen","raw_affiliation_strings":["University of North Carolina, Charlotte","(University of North Carolina at Charlotte, USA)"],"affiliations":[{"raw_affiliation_string":"University of North Carolina, Charlotte","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"(University of North Carolina at Charlotte, USA)","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055813864","display_name":"Thomas Fasciano","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Fasciano","raw_affiliation_strings":["University of North Carolina, Charlotte","(University of North Carolina at Charlotte, USA)"],"affiliations":[{"raw_affiliation_string":"University of North Carolina, Charlotte","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"(University of North Carolina at Charlotte, USA)","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086859475","display_name":"Daniel Charbonneau","orcid":"https://orcid.org/0000-0002-9537-4763"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Charbonneau","raw_affiliation_strings":["Universtiy of Arizona","Universtiy of Arizona, USA"],"affiliations":[{"raw_affiliation_string":"Universtiy of Arizona","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Universtiy of Arizona, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052699227","display_name":"Anna Dornhaus","orcid":"https://orcid.org/0000-0002-9809-7263"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Dornhaus","raw_affiliation_strings":["Universtiy of Arizona","Universtiy of Arizona, USA"],"affiliations":[{"raw_affiliation_string":"Universtiy of Arizona","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Universtiy of Arizona, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037102683","display_name":"Min Chul Shin","orcid":"https://orcid.org/0000-0002-3296-2357"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min C. Shin","raw_affiliation_strings":["University of North Carolina, Charlotte","(University of North Carolina at Charlotte, USA)"],"affiliations":[{"raw_affiliation_string":"University of North Carolina, Charlotte","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"(University of North Carolina at Charlotte, USA)","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103899208"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":0.5128,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62208713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"941","last_page":"946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9524999856948853,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8388078212738037},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6884322166442871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5938411355018616},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5070934295654297},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5023808479309082},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.43499165773391724},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.430813729763031},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3438476324081421},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10094672441482544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8388078212738037},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6884322166442871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5938411355018616},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5070934295654297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5023808479309082},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.43499165773391724},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.430813729763031},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3438476324081421},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10094672441482544},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv.2014.6836003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2014.6836003","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Winter Conference on Applications of Computer Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1987738973","https://openalex.org/W1989493360","https://openalex.org/W1995903777","https://openalex.org/W2102872573","https://openalex.org/W2115672710","https://openalex.org/W2118019783","https://openalex.org/W2122088301","https://openalex.org/W2122469558","https://openalex.org/W2147828785","https://openalex.org/W2152914780","https://openalex.org/W2169998728","https://openalex.org/W2171228813","https://openalex.org/W6677999991","https://openalex.org/W6678185843","https://openalex.org/W6682705098"],"related_works":["https://openalex.org/W1998764991","https://openalex.org/W2389084676","https://openalex.org/W2352562594","https://openalex.org/W2523883203","https://openalex.org/W3133608987","https://openalex.org/W2031358465","https://openalex.org/W2375117482","https://openalex.org/W2062298386","https://openalex.org/W286567303","https://openalex.org/W2152866694"],"abstract_inverted_index":{"The":[0],"tracking":[1,29,46,51,112,117],"of":[2,11,20,50,69,126,152],"ants":[3],"in":[4,43],"video":[5,80],"is":[6,23,59,73,136],"important":[7],"for":[8,129],"the":[9,17,65,70,78,97,116,124,140,148,153],"analysis":[10,19],"their":[12,39],"complex":[13],"group":[14],"behavior.":[15],"However,":[16],"manual":[18,63],"these":[21],"videos":[22],"tedious":[24],"and":[25,41,121],"time":[26,68,100,106,143],"consuming.":[27],"Automated":[28],"methods":[30,47],"tend":[31],"to":[32,35,114,138],"drift":[33],"due":[34],"frequent":[36],"occlusions":[37],"during":[38,131],"interactions":[40],"similarity":[42],"appearance.":[44],"Semi-automated":[45],"enable":[48],"corrections":[49],"errors":[52],"by":[53,101,107,144],"incorporating":[54,108],"user":[55,67,98,104,119,130,141],"interaction.":[56],"Although":[57],"it":[58],"much":[60],"lower":[61],"than":[62],"analysis,":[64],"required":[66],"existing":[71],"method":[72,90,113,135,156],"still":[74],"typically":[75],"23":[76],"times":[77],"actual":[79],"length.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85],"propose":[86],"a":[87,109],"new":[88],"semi-automated":[89,155],"that":[91],"achieves":[92],"similar":[93],"accuracy":[94,149],"while":[95,146],"reducing":[96],"interaction":[99,142],"(1)":[102],"mitigating":[103],"wait":[105],"data":[110],"association":[111],"separate":[115],"from":[118],"correction,":[120],"(2)":[122],"minimizing":[123],"number":[125],"candidates":[127],"visualized":[128],"correction.":[132],"This":[133],"proposed":[134],"able":[137],"reduce":[139],"67%":[145],"maintaining":[147],"within":[150],"3%":[151],"previous":[154],"[11].":[157]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}