{"id":"https://openalex.org/W2038732945","doi":"https://doi.org/10.1109/icip.2010.5653519","title":"Robust object detection scheme using feature selection","display_name":"Robust object detection scheme using feature selection","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2038732945","doi":"https://doi.org/10.1109/icip.2010.5653519","mag":"2038732945"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5653519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083939413","display_name":"Hong Pan","orcid":"https://orcid.org/0000-0002-0539-7997"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Hong Pan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","School of Automation, South-East University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"School of Automation, South-East University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"LiangZheng Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"LiangZheng Xia","raw_affiliation_strings":["School of Automation, South-East University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, South-East University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102719190","display_name":"Truong Q. Nguyen","orcid":"https://orcid.org/0000-0002-5022-063X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Truong Q. Nguyen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46225467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"849","last_page":"852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/feature-selection","display_name":"Feature selection","score":0.7833020687103271},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7740422487258911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7285346984863281},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7014195322990417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6748472452163696},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6523869633674622},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5491835474967957},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5400974750518799},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5104864835739136},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5069477558135986},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46818411350250244},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4680473506450653},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4458000063896179},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1927412450313568},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15838706493377686}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7833020687103271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7740422487258911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7285346984863281},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7014195322990417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748472452163696},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6523869633674622},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5491835474967957},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5400974750518799},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5104864835739136},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5069477558135986},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46818411350250244},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4680473506450653},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4458000063896179},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1927412450313568},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15838706493377686},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":2,"locations":[{"id":"doi:10.1109/icip.2010.5653519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:37efe6ac-c141-47a1-9683-a61e8659662f/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/455617","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2010 IEEE International Conference on Image Processing, Hong Kong, China, 26-29 Sept. 2010, pp. 849-852","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1574213390","https://openalex.org/W2012330712","https://openalex.org/W2105464770","https://openalex.org/W2125213524","https://openalex.org/W2141582975","https://openalex.org/W2144999986","https://openalex.org/W2151103935","https://openalex.org/W2152195021","https://openalex.org/W2161969291","https://openalex.org/W2163994077","https://openalex.org/W3097096317","https://openalex.org/W6634274370"],"related_works":["https://openalex.org/W2345184372","https://openalex.org/W4205647891","https://openalex.org/W2187500075","https://openalex.org/W2801009187","https://openalex.org/W2950902107","https://openalex.org/W2160451891","https://openalex.org/W2903612442","https://openalex.org/W3197541072","https://openalex.org/W2699360047","https://openalex.org/W2042348617"],"abstract_inverted_index":{"Feature":[0,38],"selection":[1,18,64,110],"is":[2,59],"an":[3,14,80],"important":[4],"issue":[5],"for":[6,31,82],"object":[7,32],"detection.":[8,33],"In":[9,34],"this":[10],"paper,":[11],"we":[12],"propose":[13],"effective":[15],"wrapper-based":[16],"feature":[17,53,57,63,72,87,109],"scheme":[19,98,111],"using":[20],"Binary":[21],"Particle":[22],"Swarm":[23],"Optimization":[24],"(BPSO)":[25],"and":[26,74,104],"Support":[27],"Vector":[28],"Machine":[29],"(SVM)":[30],"our":[35,105],"algorithm,":[36],"Scale-Invariant":[37],"Transform":[39],"(SIFT)":[40],"descriptors":[41],"in":[42,66],"a":[43,75],"patch":[44],"around":[45],"the":[46,51,62,68,71,83,86,91,95,100,115,121],"keypoints":[47],"are":[48],"extracted":[49],"as":[50,79],"initial":[52,56],"representations.":[54],"The":[55],"set":[58],"fed":[60],"into":[61],"module":[65],"which":[67],"BPSO":[69],"searches":[70],"space,":[73],"SVM":[76],"classifier":[77],"serves":[78],"evaluator":[81],"performance":[84],"of":[85],"subset":[88],"selected":[89],"by":[90],"BPSO.":[92],"We":[93],"tested":[94],"proposed":[96],"detection":[97,116,122],"on":[99],"UIUC":[101],"car":[102],"dataset":[103],"results":[106],"show":[107],"that":[108],"not":[112],"only":[113],"improves":[114],"accuracy":[117],"but":[118],"also":[119],"enhances":[120],"efficiency.":[123]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}