{"id":"https://openalex.org/W2110057934","doi":"https://doi.org/10.1109/iccp.2011.6047884","title":"A comparative study of pedestrian detection methods using classical Haar and HoG features versus bag of words model computed from Haar and HoG features","display_name":"A comparative study of pedestrian detection methods using classical Haar and HoG features versus bag of words model computed from Haar and HoG features","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2110057934","doi":"https://doi.org/10.1109/iccp.2011.6047884","mag":"2110057934"},"language":"en","primary_location":{"id":"doi:10.1109/iccp.2011.6047884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp.2011.6047884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 7th International Conference on Intelligent Computer Communication and 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/A5047081027","display_name":"Raluca Brehar","orcid":"https://orcid.org/0000-0003-0978-7826"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Raluca Brehar","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047954457","display_name":"Sergiu Nedevschi","orcid":"https://orcid.org/0000-0003-2018-4647"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sergiu Nedevschi","raw_affiliation_strings":["Computer Science Department, Technical University of Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technical University of Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2353","issue":null,"first_page":"299","last_page":"306"},"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":0.9966999888420105,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.9039679765701294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8106613159179688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7114483118057251},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6986909508705139},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6638076901435852},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.6615708470344543},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.641923189163208},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6312738060951233},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.6244595050811768},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5587410926818848},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5345731377601624},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5269818305969238},{"id":"https://openalex.org/keywords/haar","display_name":"Haar","score":0.5210280418395996},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49242815375328064},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.4916391968727112},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.48334380984306335},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48056676983833313},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48026537895202637},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.45246386528015137},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4518846273422241},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.40730300545692444},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3876110911369324},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3317287564277649},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.2448870837688446},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.13564002513885498},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08144509792327881}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9039679765701294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8106613159179688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7114483118057251},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6986909508705139},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6638076901435852},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.6615708470344543},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.641923189163208},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6312738060951233},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.6244595050811768},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5587410926818848},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5345731377601624},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5269818305969238},{"id":"https://openalex.org/C187029792","wikidata":"https://www.wikidata.org/wiki/Q2179112","display_name":"Haar","level":3,"score":0.5210280418395996},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49242815375328064},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.4916391968727112},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.48334380984306335},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48056676983833313},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48026537895202637},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.45246386528015137},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4518846273422241},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.40730300545692444},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3876110911369324},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3317287564277649},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2448870837688446},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.13564002513885498},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08144509792327881},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp.2011.6047884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp.2011.6047884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1482428446","https://openalex.org/W1591285480","https://openalex.org/W1988790447","https://openalex.org/W1992825118","https://openalex.org/W2089181482","https://openalex.org/W2107034620","https://openalex.org/W2118605474","https://openalex.org/W2123504458","https://openalex.org/W2124285714","https://openalex.org/W2133990480","https://openalex.org/W2137744490","https://openalex.org/W2143026545","https://openalex.org/W2154740476","https://openalex.org/W2156890333","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2166623283","https://openalex.org/W6635441548","https://openalex.org/W6683560028"],"related_works":["https://openalex.org/W1977648593","https://openalex.org/W2348780717","https://openalex.org/W2780165746","https://openalex.org/W2602033589","https://openalex.org/W4235475963","https://openalex.org/W1982577389","https://openalex.org/W2947115402","https://openalex.org/W2776015780","https://openalex.org/W1989704487","https://openalex.org/W2110057934"],"abstract_inverted_index":{"The":[0,42,109],"bag":[1],"of":[2,26,53,91,111],"words":[3],"model":[4,21],"has":[5],"been":[6],"actively":[7],"adopted":[8],"by":[9],"content":[10],"based":[11],"image":[12,15],"retrieval":[13],"and":[14,89,103],"annotation":[16],"techniques.":[17],"We":[18],"employ":[19],"this":[20,34,48,84],"for":[22],"the":[23,51,116,122],"particular":[24],"task":[25],"pedestrian":[27,40,105],"detection":[28,106],"in":[29,47,83,98,101,104,107],"two":[30,75],"dimensional":[31,76],"images,":[32],"producing":[33],"way":[35],"a":[36,74],"novel":[37],"approach":[38],"to":[39,86],"detection.":[41],"experiments":[43,113],"we":[44,81],"have":[45],"done":[46],"paper":[49,85],"compare":[50],"behavior":[52],"discriminative":[54],"recognition":[55,100],"approaches":[56],"that":[57,69,115],"use":[58],"AdaBoost":[59],"on":[60,66],"codebook":[61,117],"features":[62,68,80,88],"versus":[63],"Adaboost":[64],"trained":[65],"primitive":[67,79,123],"may":[70],"be":[71],"extracted":[72],"from":[73],"image.":[77],"By":[78],"refer":[82],"Haar":[87],"Histogram":[90],"Oriented":[92],"Gradients":[93],"both":[94],"being":[95],"extremely":[96],"used":[97],"object":[99],"general":[102],"particular.":[108],"conclusion":[110],"our":[112],"is":[114],"representation":[118],"performs":[119],"better":[120],"than":[121],"feature":[124],"representation.":[125]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}