{"id":"https://openalex.org/W2039961654","doi":"https://doi.org/10.1109/icnc.2012.6234621","title":"An effective approach to pedestrian detection in thermal imagery","display_name":"An effective approach to pedestrian detection in thermal imagery","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2039961654","doi":"https://doi.org/10.1109/icnc.2012.6234621","mag":"2039961654"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2012.6234621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2012.6234621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 8th International Conference on Natural Computation","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/A5100739392","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-4308-4385"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Li","raw_affiliation_strings":["MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000121999","display_name":"Dequan Zheng","orcid":"https://orcid.org/0000-0002-6431-360X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dequan Zheng","raw_affiliation_strings":["MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101661008","display_name":"Tiejun Zhao","orcid":"https://orcid.org/0000-0003-4659-4935"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Zhao","raw_affiliation_strings":["MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078273319","display_name":"Mengda Yang","orcid":"https://orcid.org/0000-0002-7808-852X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengda Yang","raw_affiliation_strings":["Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China","[Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China]","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100739392"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.4709,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.90279495,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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":0.9976999759674072,"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/pedestrian-detection","display_name":"Pedestrian detection","score":0.8418396711349487},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7450940012931824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6974672675132751},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.673711359500885},{"id":"https://openalex.org/keywords/thermal-infrared","display_name":"Thermal infrared","score":0.6670396327972412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6582551002502441},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6339616775512695},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.6145695447921753},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6135622262954712},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5126034617424011},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5038155913352966},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.468398779630661},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4645172655582428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44159233570098877},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4253275990486145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40864798426628113},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3674923777580261},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15797126293182373}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.8418396711349487},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7450940012931824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6974672675132751},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.673711359500885},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.6670396327972412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582551002502441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6339616775512695},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.6145695447921753},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6135622262954712},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5126034617424011},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5038155913352966},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.468398779630661},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4645172655582428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44159233570098877},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4253275990486145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40864798426628113},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3674923777580261},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15797126293182373},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/icnc.2012.6234621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2012.6234621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 8th International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1687797484","https://openalex.org/W1992825118","https://openalex.org/W2031342017","https://openalex.org/W2098305259","https://openalex.org/W2099355420","https://openalex.org/W2104671481","https://openalex.org/W2107775979","https://openalex.org/W2120339771","https://openalex.org/W2124221237","https://openalex.org/W2156539399","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2538624569","https://openalex.org/W3097096317","https://openalex.org/W3151111735"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W1977648593","https://openalex.org/W2348780717","https://openalex.org/W2780165746","https://openalex.org/W4235475963","https://openalex.org/W4252030899","https://openalex.org/W3087821047","https://openalex.org/W2071599417","https://openalex.org/W2039961654"],"abstract_inverted_index":{"In":[0,14],"this":[1,42],"paper,":[2],"an":[3],"integrated":[4],"algorithm":[5,26,43],"to":[6,79,94,164],"detect":[7],"humans":[8],"in":[9,30,38,86,151],"thermal":[10,153],"imagery":[11,40],"was":[12],"introduced.":[13],"recent":[15],"years,":[16],"histogram":[17],"of":[18,72,83,131,169],"oriented":[19],"gradient":[20],"(HOG)":[21],"is":[22,61,77,115,126,139],"a":[23,95,137,142],"quite":[24],"popular":[25],"for":[27,65,98],"person":[28],"detection":[29,37,113],"visible":[31],"imagery.":[32,154],"We":[33],"implement":[34],"the":[35,46,66,70,73,81,84,89,104,107,112,118,129,132,149,152,166],"pedestrian":[36,138],"infrared":[39,74,87],"with":[41,157],"by":[44,128,141],"adjusting":[45],"parameters.":[47],"Simultaneously,":[48],"we":[49,102,146],"have":[50,147],"increased":[51],"some":[52],"other":[53],"geometric":[54],"characteristics,":[55],"such":[56],"as":[57,63],"mean":[58],"contrast,":[59],"which":[60,76,125],"used":[62],"features":[64],"detection.":[67],"After":[68,110],"analyzing":[69],"property":[71],"imagery,":[75,88],"designed":[78],"meet":[80],"shortfall":[82],"HOG":[85],"combined":[90],"vectors":[91],"are":[92,162],"fed":[93],"linear":[96],"SVM":[97],"object/non-object":[99],"classification":[100],"and":[101,123,145],"get":[103],"detector":[105],"at":[106,120],"same":[108],"time.":[109],"that,":[111],"window":[114],"scanned":[116],"across":[117],"image":[119],"multiple":[121],"positions":[122],"scales,":[124],"followed":[127],"combination":[130],"overlapping":[133],"detections.":[134],"At":[135],"last,":[136],"described":[140],"final":[143],"detection,":[144],"detected":[148],"pedestrians":[150],"Experimental":[155],"results":[156],"OSU":[158],"Thermal":[159],"Pedestrian":[160],"Database":[161],"reported":[163],"demonstrate":[165],"excellent":[167],"performance":[168],"our":[170],"algorithms.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
