{"id":"https://openalex.org/W2103729151","doi":"https://doi.org/10.1109/icip.2009.5413668","title":"Early terminating algorithms for Adaboost based detectors","display_name":"Early terminating algorithms for Adaboost based detectors","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2103729151","doi":"https://doi.org/10.1109/icip.2009.5413668","mag":"2103729151"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5061017734","display_name":"Arif Mahmood","orcid":"https://orcid.org/0000-0001-5986-9876"},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Arif Mahmood","raw_affiliation_strings":["Department of Computer Science, School of Science and Engineering, Lahore University of Management Sciences, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Science and Engineering, Lahore University of Management Sciences, Pakistan","institution_ids":["https://openalex.org/I207789805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102155704","display_name":"Sohaib Khan","orcid":"https://orcid.org/0000-0003-0120-8252"},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sohaib Khan","raw_affiliation_strings":["Department of Computer Science, School of Science and Engineering, Lahore University of Management Sciences, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Science and Engineering, Lahore University of Management Sciences, Pakistan","institution_ids":["https://openalex.org/I207789805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061017734"],"corresponding_institution_ids":["https://openalex.org/I207789805"],"apc_list":null,"apc_paid":null,"fwci":0.3281,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60994277,"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":"1209","last_page":"1212"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T10057","display_name":"Face and Expression Recognition","score":0.9983000159263611,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/adaboost","display_name":"AdaBoost","score":0.8708251714706421},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7866647243499756},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6780813336372375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6419352293014526},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6410943865776062},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5198343396186829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4689010679721832},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4236941337585449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42088407278060913},{"id":"https://openalex.org/keywords/maxima","display_name":"Maxima","score":0.41553008556365967},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.06237402558326721}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.8708251714706421},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7866647243499756},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6780813336372375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6419352293014526},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6410943865776062},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5198343396186829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4689010679721832},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4236941337585449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42088407278060913},{"id":"https://openalex.org/C91528185","wikidata":"https://www.wikidata.org/wiki/Q520952","display_name":"Maxima","level":3,"score":0.41553008556365967},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.06237402558326721},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2009.5413668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.228.436","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.lums.edu.pk/%7Esohaib/papers/Mahmood_Khan_ICIP09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.800000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2111308925","https://openalex.org/W2119461015","https://openalex.org/W2129143313","https://openalex.org/W2134053173","https://openalex.org/W2164598857","https://openalex.org/W2168572310","https://openalex.org/W2541294535","https://openalex.org/W3097096317","https://openalex.org/W3152267598","https://openalex.org/W6679454909","https://openalex.org/W6680312226","https://openalex.org/W6729284886"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2107371674","https://openalex.org/W1999737656"],"abstract_inverted_index":{"In":[0,20,119],"this":[1],"paper":[2],"we":[3],"propose":[4],"an":[5,130],"early":[6,161],"termination":[7],"algorithm":[8,84,124],"for":[9,141],"speeding":[10],"up":[11],"the":[12,16,21,29,48,54,59,65,82,89,114,136,142],"detection":[13],"phase":[14],"of":[15,39,77,132,144,175],"Adaboost":[17],"based":[18],"detectors.":[19,159,177],"basic":[22,83],"algorithm,":[23],"at":[24],"a":[25],"specific":[26],"search":[27],"location,":[28,112],"AdaBoost":[30,66,139,163],"ensemble":[31],"response":[32,49,61,106],"is":[33],"computed":[34],"as":[35,58,101,103],"monotonic":[36],"decreasing":[37],"function":[38],"weak":[40,44],"learners.":[41],"As":[42,56],"more":[43],"learners":[45],"are":[46,149],"evaluated,":[47],"either":[50],"decreases":[51],"or":[52],"remains":[53],"same.":[55],"soon":[57,102],"current":[60,105],"becomes":[62,107],"lower":[63,108],"than":[64,109,135,172],"global":[67],"threshold,":[68],"remaining":[69],"computations":[70],"may":[71,98],"be":[72,99,129,169],"skipped":[73],"without":[74],"any":[75],"loss":[76],"accuracy.":[78],"We":[79],"further":[80],"extend":[81],"by":[85],"integrating":[86],"it":[87],"with":[88,152],"Non":[90],"Maxima":[91],"Suppression":[92],"(NMS)":[93],"process.":[94],"Any":[95],"candidate":[96,111],"location":[97],"discarded,":[100],"its":[104],"another":[110],"within":[113],"same":[115],"non-maxima":[116],"suppression":[117],"window.":[118],"our":[120,122],"experiments,":[121],"proposed":[123],"has":[125,165],"been":[126,166],"found":[127,167],"to":[128,168],"order":[131],"magnitude":[133],"faster":[134,171],"traditionally":[137],"used":[138],"detector,":[140],"application":[143],"edge-corner":[145],"detection.":[146],"Speedup":[147],"comparisons":[148],"also":[150],"done":[151],"other":[153],"three":[154,174],"well":[155],"known":[156],"edge":[157],"corner":[158],"The":[160],"terminated":[162],"detector":[164],"significantly":[170],"all":[173],"these":[176]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}