{"id":"https://openalex.org/W2903236148","doi":"https://doi.org/10.1109/rtsi.2018.8548397","title":"Performance Comparison of Methods Based on Image Retrieval and Direct Regression for Egocentric Shopping Cart Localization","display_name":"Performance Comparison of Methods Based on Image Retrieval and Direct Regression for Egocentric Shopping Cart Localization","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903236148","doi":"https://doi.org/10.1109/rtsi.2018.8548397","mag":"2903236148"},"language":"en","primary_location":{"id":"doi:10.1109/rtsi.2018.8548397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtsi.2018.8548397","pdf_url":null,"source":{"id":"https://openalex.org/S4306498310","display_name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","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/A5033441067","display_name":"Emiliano Spera","orcid":null},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emiliano Spera","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089549062","display_name":"Antonino Furnari","orcid":"https://orcid.org/0000-0001-6911-0302"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonino Furnari","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042746008","display_name":"Sebastiano Battiato","orcid":"https://orcid.org/0000-0001-6127-2470"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiano Battiato","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087180022","display_name":"Giovanni Maria Farinella","orcid":"https://orcid.org/0000-0002-6034-0432"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Maria Farinella","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"60 2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973000288009644,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9843000173568726,"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/computer-science","display_name":"Computer science","score":0.792094349861145},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7560915946960449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7538930177688599},{"id":"https://openalex.org/keywords/cart","display_name":"Cart","score":0.706943154335022},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6927087306976318},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6199461817741394},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6038469672203064},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5459631085395813},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5280091166496277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49211186170578003},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4381200075149536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2970932126045227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12034773826599121},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08448246121406555},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.048729896545410156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792094349861145},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7560915946960449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7538930177688599},{"id":"https://openalex.org/C2777275308","wikidata":"https://www.wikidata.org/wiki/Q234668","display_name":"Cart","level":2,"score":0.706943154335022},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6927087306976318},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6199461817741394},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6038469672203064},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5459631085395813},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5280091166496277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49211186170578003},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4381200075149536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2970932126045227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12034773826599121},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08448246121406555},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.048729896545410156},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rtsi.2018.8548397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtsi.2018.8548397","pdf_url":null,"source":{"id":"https://openalex.org/S4306498310","display_name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1606858007","https://openalex.org/W1686810756","https://openalex.org/W1883248133","https://openalex.org/W1909903157","https://openalex.org/W1913628733","https://openalex.org/W1980635903","https://openalex.org/W1989476314","https://openalex.org/W1992047056","https://openalex.org/W2031597059","https://openalex.org/W2032982774","https://openalex.org/W2043732461","https://openalex.org/W2083988561","https://openalex.org/W2085078372","https://openalex.org/W2091520273","https://openalex.org/W2097117768","https://openalex.org/W2117228865","https://openalex.org/W2138621090","https://openalex.org/W2151103935","https://openalex.org/W2155392943","https://openalex.org/W2183341477","https://openalex.org/W2200124539","https://openalex.org/W2284646714","https://openalex.org/W2340690086","https://openalex.org/W2516059803","https://openalex.org/W2520918336","https://openalex.org/W2522940611","https://openalex.org/W2531151744","https://openalex.org/W2550682069","https://openalex.org/W2605111497","https://openalex.org/W2728498859","https://openalex.org/W2903038716","https://openalex.org/W2952600975","https://openalex.org/W2962835968","https://openalex.org/W2963775347","https://openalex.org/W2973689592","https://openalex.org/W3103919331","https://openalex.org/W6636412649","https://openalex.org/W6637373629","https://openalex.org/W6658165931","https://openalex.org/W6682431704","https://openalex.org/W6704508018","https://openalex.org/W6727393507","https://openalex.org/W6728329568","https://openalex.org/W6735189984"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W2621086889"],"abstract_inverted_index":{"This":[0],"work":[1],"compares":[2],"the":[3,33,43,46,54,62,71,78,85,104],"performances":[4,44],"of":[5,8,45,56,67],"two":[6],"families":[7],"image-based":[9,48],"methods":[10,20,79],"for":[11,50],"egocentric":[12],"shopping":[13],"cart":[14],"localization":[15,52,95],"in":[16,53],"retail":[17,57],"stores,":[18],"namely,":[19],"based":[21,27,80,87],"on":[22,28,81,88],"image":[23,82],"retrieval":[24,83],"and":[25,65,84,111],"approaches":[26],"direct":[29,89],"pose":[30,90],"regression":[31,91],"from":[32],"input":[34],"image.":[35],"Our":[36],"contribution":[37],"is":[38,102],"two-fold:":[39],"1)":[40],"we":[41,60],"benchmark":[42],"considered":[47,72],"techniques":[49],"camera":[51],"context":[55],"stores;":[58],"2)":[59],"study":[61],"computational":[63],"time":[64],"amount":[66],"memory":[68],"required":[69],"by":[70],"techniques.":[73],"Experimental":[74],"results":[75],"show":[76],"that":[77],"ones":[86],"can":[92],"achieve":[93],"comparable":[94],"accuracy,":[96],"while,":[97],"especially":[98],"when":[99],"a":[100],"GPU":[101],"available,":[103],"latter":[105],"tend":[106],"to":[107],"be":[108],"much":[109],"faster":[110],"require":[112],"less":[113],"memory.":[114]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
