{"id":"https://openalex.org/W2545871806","doi":"https://doi.org/10.1109/acpr.2011.6166629","title":"People counting using ellipse detection and forward/backward tracing","display_name":"People counting using ellipse detection and forward/backward tracing","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2545871806","doi":"https://doi.org/10.1109/acpr.2011.6166629","mag":"2545871806"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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/A5101823397","display_name":"Chung\u2010Lin Huang","orcid":"https://orcid.org/0000-0002-9866-4109"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chung-Lin Huang","raw_affiliation_strings":["Department of Electrical Engineering, National Tsinghua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsinghua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077937342","display_name":"Shih-Chung Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Chung Hsu","raw_affiliation_strings":["Department of Electrical Engineering, National Tsinghua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsinghua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083419690","display_name":"I-Chung Tsao","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"I-Chung Tsao","raw_affiliation_strings":["Department of Electrical Engineering, National Tsinghua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsinghua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038734483","display_name":"Ben-Syuan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ben-Syuan Huang","raw_affiliation_strings":["Department of Electrical Engineering, National Tsinghua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsinghua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008110549","display_name":"Hau-Wei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hau-Wei Wang","raw_affiliation_strings":["Center for Measurement Standards, Industrial Technology and Research Institute, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Center for Measurement Standards, Industrial Technology and Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059947547","display_name":"Hung-Wei Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I142066694","display_name":"ITRI International","ror":"https://ror.org/04wwsbd59","country_code":"US","type":"facility","lineage":["https://openalex.org/I142066694"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hung-Wei Lin","raw_affiliation_strings":["Industrial Technology Research Institute, Hsinchu, TW"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute, Hsinchu, TW","institution_ids":["https://openalex.org/I142066694"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101823397"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.2576,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64294592,"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":"505","last_page":"509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9940000176429749,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9714000225067139,"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/ellipse","display_name":"Ellipse","score":0.8913928270339966},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.7725623250007629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7494285106658936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6987286806106567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6681640148162842},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5187854766845703},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5115595459938049},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.44838735461235046},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.437614381313324},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43715769052505493},{"id":"https://openalex.org/keywords/blob-detection","display_name":"Blob detection","score":0.41724249720573425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3877756893634796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29914259910583496},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2363957166671753},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23442566394805908},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.17064398527145386},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13067808747291565}],"concepts":[{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.8913928270339966},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.7725623250007629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7494285106658936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6987286806106567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6681640148162842},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5187854766845703},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5115595459938049},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.44838735461235046},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.437614381313324},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43715769052505493},{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.41724249720573425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3877756893634796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29914259910583496},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2363957166671753},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23442566394805908},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.17064398527145386},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13067808747291565},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2011.6166629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2042322506","https://openalex.org/W2053381424","https://openalex.org/W2077322237","https://openalex.org/W2097094152","https://openalex.org/W2101611399","https://openalex.org/W2102599016","https://openalex.org/W2120815373","https://openalex.org/W2122243179","https://openalex.org/W2123175289","https://openalex.org/W2145517081","https://openalex.org/W2146944178","https://openalex.org/W2150319071","https://openalex.org/W2155916750","https://openalex.org/W2158604775","https://openalex.org/W2159929327","https://openalex.org/W2161841955","https://openalex.org/W2170469098","https://openalex.org/W2541546129","https://openalex.org/W6682254119"],"related_works":["https://openalex.org/W2371136327","https://openalex.org/W2890757232","https://openalex.org/W4293234107","https://openalex.org/W2370549269","https://openalex.org/W2386824811","https://openalex.org/W2354618530","https://openalex.org/W2076374160","https://openalex.org/W42554242","https://openalex.org/W2353626121","https://openalex.org/W2028212196"],"abstract_inverted_index":{"There":[0],"are":[1,56],"two":[2,79],"different":[3],"people":[4,9,25,44],"counting":[5,8],"methods:":[6],"(1)":[7],"across":[10],"a":[11,36,46],"detecting":[12],"line":[13,47],"in":[14,26,77,89,117],"certain":[15,30],"time":[16,31],"duration":[17],"and":[18],"(2)":[19],"estimating":[20],"the":[21,41,52,64,69,75,85,94,99,103,113,118,122,126],"total":[22],"number":[23,42,86,114],"of":[24,43,48,87,115,128],"some":[27],"region":[28],"at":[29],"instance.":[32],"This":[33],"paper":[34],"presents":[35],"new":[37],"approach":[38],"to":[39,111],"count":[40],"crossing":[45],"interest":[49],"(LOI).":[50],"First,":[51],"foreground":[53],"object":[54],"silhouettes":[55],"extracted":[57],"described":[58],"as":[59],"blobs.":[60],"Second,":[61],"we":[62,83,107,124],"generate":[63],"blob":[65,91],"linkage":[66],"based":[67],"on":[68],"one-to-one":[70],"or":[71],"one-to-many":[72],"correspondence":[73],"between":[74],"blobs":[76],"every":[78],"consecutive":[80],"frames.":[81],"Third,":[82],"label":[84],"objects":[88,116],"each":[90],"by":[92],"applying":[93],"ellipse":[95],"detection":[96],"technique.":[97],"However,":[98],"occlusion":[100],"problem":[101],"jeopardizes":[102],"labeling":[104],"process.":[105],"Here,":[106],"use":[108],"forward/backward":[109],"tracing":[110],"re-label":[112],"occluded":[119],"blob.":[120],"In":[121],"experiments,":[123],"illustrate":[125],"effectiveness":[127],"our":[129],"method.":[130]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
