{"id":"https://openalex.org/W3082913333","doi":"https://doi.org/10.1109/iccsp48568.2020.9182100","title":"Multiple-Instance Learning Support Vector Machine Algorithm based Pedestrian Detection","display_name":"Multiple-Instance Learning Support Vector Machine Algorithm based Pedestrian Detection","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082913333","doi":"https://doi.org/10.1109/iccsp48568.2020.9182100","mag":"3082913333"},"language":"en","primary_location":{"id":"doi:10.1109/iccsp48568.2020.9182100","doi":"https://doi.org/10.1109/iccsp48568.2020.9182100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsp48568.2020.9182100","pdf_url":null,"source":{"id":"https://openalex.org/S7407088826","display_name":"International Conference on Communications and Signal Processing (ICCSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Communication and Signal Processing (ICCSP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5057206599","display_name":"Thotakura Haritha","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T Haritha.","raw_affiliation_strings":["Department of Electronics and communication Engineering, Amrita Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and communication Engineering, Amrita Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046384916","display_name":"Rajesh Kannan Megalingam","orcid":"https://orcid.org/0000-0003-1097-5576","observed_orcids":["https://orcid.org/0000-0003-1097-5576"]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh Kannan Megalingam","raw_affiliation_strings":["Department of Electronics and communication Engineering, Amrita Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and communication Engineering, Amrita Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.2943,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58277794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"302","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.4399000108242035,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.4399000108242035,"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":0.36500000953674316,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.15119999647140503,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":1.0},{"id":"https://openalex.org/keywords/multiple-instance-learning","display_name":"multiple instance learning","score":0.9390000104904175},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.996999979019165},{"id":"https://openalex.org/keywords/occlusion-handling","display_name":"occlusion handling","score":0.8629999756813049},{"id":"https://openalex.org/keywords/hidden-objects","display_name":"hidden objects","score":0.5879999995231628},{"id":"https://openalex.org/keywords/clothing-appearance","display_name":"clothing appearance","score":0.6359999775886536},{"id":"https://openalex.org/keywords/vehicle-safety-systems","display_name":"vehicle safety systems","score":0.5860000252723694},{"id":"https://openalex.org/keywords/intelligent-transportation-systems","display_name":"intelligent transportation systems","score":0.9589999914169312}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.9457667469978333},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.919297993183136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130151391029358},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7080891728401184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5813351273536682},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5375610589981079},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5280802249908447},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5171579718589783},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48344072699546814},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18788325786590576},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0894593894481659},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccsp48568.2020.9182100","doi":"https://doi.org/10.1109/iccsp48568.2020.9182100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsp48568.2020.9182100","pdf_url":null,"source":{"id":"https://openalex.org/S7407088826","display_name":"International Conference on Communications and Signal Processing (ICCSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Communication and Signal Processing (ICCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.40619999170303345,"display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1972003367","https://openalex.org/W1993918576","https://openalex.org/W2088133862","https://openalex.org/W2290843048","https://openalex.org/W2303068680","https://openalex.org/W2330715054","https://openalex.org/W2512306757","https://openalex.org/W2756367382","https://openalex.org/W2790984575","https://openalex.org/W2796529013","https://openalex.org/W2810609550","https://openalex.org/W2907398729","https://openalex.org/W2940453295","https://openalex.org/W2940690500","https://openalex.org/W2982222945"],"related_works":["https://openalex.org/W2067022487","https://openalex.org/W2512306757","https://openalex.org/W2146984718","https://openalex.org/W1579080782","https://openalex.org/W3203179871","https://openalex.org/W3091096869","https://openalex.org/W2037650452","https://openalex.org/W104073185","https://openalex.org/W4289713481","https://openalex.org/W2555440207"],"abstract_inverted_index":{"Pedestrian":[0],"detection":[1,15,75],"is":[2],"one":[3],"of":[4,28,49,55,59],"the":[5,9,13,24,29,43,68,73,78,87],"significant":[6],"task":[7],"for":[8,22],"intelligent":[10],"transportation":[11],"system.so":[12],"pedestrian":[14,36,56,74,88],"become":[16],"much":[17],"relevant":[18],"in":[19],"automotive":[20],"field":[21],"improving":[23],"safety":[25],"systems.":[26],"Many":[27],"existing":[30,44],"research":[31],"papers":[32],"focused":[33],"on":[34,77],"efficient":[35],"detection.":[37],"The":[38],"challenges":[39,70],"that":[40],"are":[41,46],"facing":[42],"researches":[45],"(1)Various":[47],"style":[48],"clothing":[50],"appearances":[51],"(2)Different":[52],"possible":[53],"poses":[54],"(3)":[57],"Presence":[58],"hidden":[60],"objects(4)Frequent":[61],"occlusion.":[62],"In":[63],"this":[64],"paper,":[65],"to":[66],"resolve":[67],"above":[69],"by":[71],"formulate":[72],"based":[76],"multiple":[79],"instance":[80],"learning":[81],"support":[82],"vector":[83],"machine":[84],"algorithm":[85],"(MILSVM).Therefore":[86],"performing":[89],"various":[90],"action":[91],"will":[92],"be":[93],"accurately":[94],"detected.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-09-08T00:00:00"}
