{"id":"https://openalex.org/W2149587482","doi":"https://doi.org/10.1145/2157689.2157837","title":"Color anomaly detection and suggestion for wilderness search and rescue","display_name":"Color anomaly detection and suggestion for wilderness search and rescue","publication_year":2012,"publication_date":"2012-03-05","ids":{"openalex":"https://openalex.org/W2149587482","doi":"https://doi.org/10.1145/2157689.2157837","mag":"2149587482"},"language":"en","primary_location":{"id":"doi:10.1145/2157689.2157837","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2157689.2157837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction","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/A5112290329","display_name":"Bryan S. Morse","orcid":null},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bryan S. Morse","raw_affiliation_strings":["Brigham Young University, Provo, UT, USA"],"affiliations":[{"raw_affiliation_string":"Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024250329","display_name":"Daniel Thornton","orcid":"https://orcid.org/0000-0002-4994-2942"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Thornton","raw_affiliation_strings":["Brigham Young University, Provo, UT, USA"],"affiliations":[{"raw_affiliation_string":"Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077345598","display_name":"Michael A. Goodrich","orcid":"https://orcid.org/0000-0002-2489-5705"},"institutions":[{"id":"https://openalex.org/I100005738","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47","country_code":"US","type":"education","lineage":["https://openalex.org/I100005738"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael A. Goodrich","raw_affiliation_strings":["Brigham Young University, Provo, UT, USA"],"affiliations":[{"raw_affiliation_string":"Brigham Young University, Provo, UT, USA","institution_ids":["https://openalex.org/I100005738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112290329"],"corresponding_institution_ids":["https://openalex.org/I100005738"],"apc_list":null,"apc_paid":null,"fwci":1.1103,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81235353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"455","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9912999868392944,"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":0.9912999868392944,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9634000062942505,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wilderness","display_name":"Wilderness","score":0.6481140851974487},{"id":"https://openalex.org/keywords/rescue-robot","display_name":"Rescue robot","score":0.6161559224128723},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5637211203575134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48743394017219543},{"id":"https://openalex.org/keywords/search-and-rescue","display_name":"Search and rescue","score":0.4574223756790161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3974687457084656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3371681571006775},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.09536764025688171},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.09309026598930359}],"concepts":[{"id":"https://openalex.org/C2778677346","wikidata":"https://www.wikidata.org/wiki/Q911871","display_name":"Wilderness","level":2,"score":0.6481140851974487},{"id":"https://openalex.org/C17006198","wikidata":"https://www.wikidata.org/wiki/Q7315030","display_name":"Rescue robot","level":4,"score":0.6161559224128723},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5637211203575134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48743394017219543},{"id":"https://openalex.org/C2775935494","wikidata":"https://www.wikidata.org/wiki/Q741964","display_name":"Search and rescue","level":3,"score":0.4574223756790161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3974687457084656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3371681571006775},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.09536764025688171},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.09309026598930359},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2157689.2157837","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2157689.2157837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.308.6078","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.6078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://faculty.cs.byu.edu/~mike/mikeg/papers/ColorAnomalyMorseHRI.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W791517674","https://openalex.org/W1490760466","https://openalex.org/W1532325173","https://openalex.org/W1562324688","https://openalex.org/W1973041621","https://openalex.org/W1977387036","https://openalex.org/W1979004942","https://openalex.org/W1988177629","https://openalex.org/W1995642009","https://openalex.org/W2047870694","https://openalex.org/W2049633694","https://openalex.org/W2056452200","https://openalex.org/W2063052894","https://openalex.org/W2066761125","https://openalex.org/W2072970403","https://openalex.org/W2083833721","https://openalex.org/W2102625004","https://openalex.org/W2107664584","https://openalex.org/W2115763357","https://openalex.org/W2122646361","https://openalex.org/W2123864966","https://openalex.org/W2125884443","https://openalex.org/W2129317335","https://openalex.org/W2134115916","https://openalex.org/W2135744926","https://openalex.org/W2142552707","https://openalex.org/W2142610581","https://openalex.org/W2146820417","https://openalex.org/W2158340226","https://openalex.org/W2163272476","https://openalex.org/W2168634487","https://openalex.org/W2329598122","https://openalex.org/W2799061466","https://openalex.org/W2963883248","https://openalex.org/W4250128322"],"related_works":["https://openalex.org/W4206733587","https://openalex.org/W2388951953","https://openalex.org/W2367640936","https://openalex.org/W3101748978","https://openalex.org/W2543684242","https://openalex.org/W2361811248","https://openalex.org/W4391252873","https://openalex.org/W2981213010","https://openalex.org/W2155005883","https://openalex.org/W2117893626"],"abstract_inverted_index":{"In":[0],"wilderness":[1,34],"search":[2,85,180],"and":[3,61,71],"rescue,":[4],"objects":[5,79],"not":[6,147],"native":[7],"or":[8],"typical":[9],"to":[10,73,104],"a":[11,52,94,121,152],"scene":[12,60],"may":[13],"provide":[14],"clues":[15],"that":[16,128,141,161,175,187],"indicate":[17,140],"the":[18,22,28,55,59,84,90,97,102,106,117,162,168],"recent":[19],"presence":[20],"of":[21,30,54,96,164],"missing":[23],"person.":[24],"This":[25,108],"paper":[26,109],"presents":[27],"results":[29,126,173],"augmenting":[31],"an":[32,38,131],"aerial":[33],"search-and-rescue":[35],"system":[36],"with":[37,130],"automated":[39],"spectral":[40],"anomaly":[41],"detector":[42,49,119,133],"for":[43,89,179],"identifying":[44],"unusually":[45,75],"colored":[46,76],"objects.":[47,77],"The":[48],"dynamically":[50],"builds":[51],"model":[53],"natural":[56],"coloring":[57],"in":[58,83,151],"identifies":[62],"outlier":[63],"pixels,":[64],"which":[65],"are":[66,80],"then":[67,81,115],"filtered":[68],"both":[69],"spatially":[70],"temporally":[72],"find":[74],"These":[78,172],"highlighted":[82],"video":[86,103],"as":[87],"suggestions":[88,166],"user,":[91],"thus":[92],"shifting":[93],"portion":[95],"user's":[98],"task":[99,154,170],"from":[100],"scanning":[101],"verifying":[105],"suggestions.":[107],"empirically":[110],"evaluates":[111],"multiple":[112],"potential":[113],"detectors":[114],"incorporates":[116],"best-performing":[118],"into":[120],"suggestion":[122],"system.":[123],"User":[124],"study":[125],"demonstrate":[127],"even":[129],"imperfect":[132],"users'":[134,142],"detection":[135],"increased":[136],"significantly.":[137],"Results":[138],"further":[139],"false":[143],"positive":[144],"rates":[145],"did":[146,155],"increase,":[148],"though":[149],"performance":[150,185],"secondary":[153],"decrease.":[156],"Furthermore,":[157],"users":[158],"subjectively":[159],"reported":[160],"use":[163],"detector-based":[165],"made":[167],"overall":[169,183],"easier.":[171],"suggest":[174],"such":[176],"suggestion-based":[177],"systems":[178],"can":[181],"increase":[182],"searcher":[184],"but":[186],"additional":[188],"external":[189],"tasks":[190],"should":[191],"be":[192],"limited.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}