{"id":"https://openalex.org/W2040744778","doi":"https://doi.org/10.1109/icip.2011.6116284","title":"Anovel framework for automatic passenger counting","display_name":"Anovel framework for automatic passenger counting","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2040744778","doi":"https://doi.org/10.1109/icip.2011.6116284","mag":"2040744778"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th 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/A5074331810","display_name":"Satarupa Mukherjee","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Satarupa Mukherjee","raw_affiliation_strings":["Department of Computing Sciences., University of Alberta., Edmonton, Canada","Department of Computing Sciences University of Alberta Edmonton Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Sciences., University of Alberta., Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Sciences University of Alberta Edmonton Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076668827","display_name":"BaidyaNath Saha","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"BaidyaNath Saha","raw_affiliation_strings":["Department of Computing Sciences., University of Alberta., Edmonton, Canada","Department of Computing Sciences University of Alberta Edmonton Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Sciences., University of Alberta., Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Sciences University of Alberta Edmonton Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058251589","display_name":"Iqbal Jamal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iqbal Jamal","raw_affiliation_strings":["AQL Management Consulting Inc., Edmonton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AQL Management Consulting Inc., Edmonton, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016733653","display_name":"Richard Leclerc","orcid":null},"institutions":[{"id":"https://openalex.org/I2799519442","display_name":"TransAlta (Canada)","ror":"https://ror.org/025jq2275","country_code":"CA","type":"company","lineage":["https://openalex.org/I2799519442"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Richard Leclerc","raw_affiliation_strings":["Transnortation Department., Edmonton, Canada","Transportation Department, City of Edmonton, Edmonton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Transnortation Department., Edmonton, Canada","institution_ids":["https://openalex.org/I2799519442"]},{"raw_affiliation_string":"Transportation Department, City of Edmonton, Edmonton, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082800075","display_name":"Nilanjan Ray","orcid":"https://orcid.org/0000-0002-7588-5400"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nilanjan Ray","raw_affiliation_strings":["Department of Computing Sciences., University of Alberta., Edmonton, Canada","Department of Computing Sciences University of Alberta Edmonton Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Sciences., University of Alberta., Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Sciences University of Alberta Edmonton Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4268,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.84114441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2969","last_page":"2972"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/crowds","display_name":"Crowds","score":0.9097778797149658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7700756192207336},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.7432714104652405},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6507410407066345},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6435697078704834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.606660008430481},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6002114415168762},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5687252879142761},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.5140687227249146},{"id":"https://openalex.org/keywords/crowd-simulation","display_name":"Crowd simulation","score":0.46478700637817383},{"id":"https://openalex.org/keywords/field-of-view","display_name":"Field of view","score":0.4236205518245697},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3892134428024292},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.14832165837287903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10958576202392578}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.9097778797149658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700756192207336},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.7432714104652405},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6507410407066345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6435697078704834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.606660008430481},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6002114415168762},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5687252879142761},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.5140687227249146},{"id":"https://openalex.org/C45617602","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Crowd simulation","level":3,"score":0.46478700637817383},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.4236205518245697},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3892134428024292},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.14832165837287903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10958576202392578},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6116284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319946","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27"},{"id":"https://openalex.org/F4320322675","display_name":"Mitacs","ror":"https://ror.org/00cjrc276"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W1867429401","https://openalex.org/W2083978531","https://openalex.org/W2118877769","https://openalex.org/W2123175289","https://openalex.org/W2145983039","https://openalex.org/W2161969291","https://openalex.org/W2751023760","https://openalex.org/W4206519171","https://openalex.org/W6639126518","https://openalex.org/W6677548441","https://openalex.org/W6681368121"],"related_works":["https://openalex.org/W2036586770","https://openalex.org/W2094931707","https://openalex.org/W2911613207","https://openalex.org/W3043995842","https://openalex.org/W2944838502","https://openalex.org/W2535198484","https://openalex.org/W2060401867","https://openalex.org/W4230189742","https://openalex.org/W2559730559","https://openalex.org/W2077952221"],"abstract_inverted_index":{"We":[0,22],"propose":[1],"a":[2,9,61],"novel":[3],"framework":[4,13,82,117,162],"for":[5,154],"counting":[6],"passengers":[7],"in":[8,157],"railway":[10],"station.":[11],"The":[12,38,66,147,160],"has":[14,83],"three":[15,77,90],"components:":[16],"people":[17,155],"detection,":[18],"tracking":[19],"and":[20,123,126,131,144,170],"validation.":[21],"detect":[23,130,164],"every":[24],"person":[25,39],"using":[26,43],"Hough":[27],"circle":[28],"when":[29],"he":[30],"or":[31],"she":[32],"enters":[33],"the":[34,49,54,76,80,102,108,114],"field":[35,50],"of":[36,51,68,75,79,92,107],"view.":[37,52],"is":[40,58],"then":[41],"tracked":[42],"optical":[44],"flow":[45],"until":[46],"(s)he":[47],"leaves":[48],"Finally,":[53],"tracker":[55],"generated":[56],"trajectory":[57],"validated":[59],"through":[60],"spatiotemporal":[62],"background":[63],"subtraction":[64],"technique.":[65],"number":[67],"valid":[69],"trajectories":[70],"provides":[71],"passenger":[72],"count.":[73],"Each":[74],"components":[78],"proposed":[81,115,148,161],"been":[84,99],"compared":[85],"with":[86,134],"competitive":[87,176],"methods":[88],"on":[89,101,121],"datasets":[91,103],"varying":[93],"crowd":[94],"densities.":[95],"Extensive":[96],"experiments":[97],"have":[98],"conducted":[100],"having":[104],"top":[105],"views":[106],"passengers.":[109],"Experimental":[110],"results":[111,152],"demonstrate":[112],"that":[113],"algorithmic":[116],"performs":[118],"well":[119],"both":[120],"dense":[122],"sparse":[124],"crowds":[125],"it":[127],"can":[128,163],"successfully":[129],"track":[132],"persons":[133],"different":[135,158],"hair":[136],"colors,":[137],"hoodies,":[138],"caps,":[139],"long":[140],"winter":[141],"jackets,":[142],"bags":[143],"so":[145],"on.":[146],"algorithm":[149],"shows":[150],"promising":[151],"also":[153],"moving":[156],"directions.":[159],"up":[165],"to":[166],"30%":[167],"more":[168,172],"accurately":[169],"20%":[171],"precisely":[173],"than":[174],"other":[175],"methods.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-02T14:50:37.381335","created_date":"2025-10-10T00:00:00"}