{"id":"https://openalex.org/W4289323442","doi":"https://doi.org/10.1007/978-981-19-4109-2_14","title":"Experiment Analysis on Fast Features Bag Approach for Pedestrian Re-recognition","display_name":"Experiment Analysis on Fast Features Bag Approach for Pedestrian Re-recognition","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4289323442","doi":"https://doi.org/10.1007/978-981-19-4109-2_14"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-19-4109-2_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-19-4109-2_14","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"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/A5054908307","display_name":"Hassan Jalil","orcid":"https://orcid.org/0000-0001-8417-2536"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hassan Jalil","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510642, Guangdong, China","College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510642, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026092741","display_name":"Kangshun Li","orcid":"https://orcid.org/0000-0002-0429-446X"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]},{"id":"https://openalex.org/I4210124427","display_name":"City College of Dongguan University of Technology","ror":"https://ror.org/02vdh2x09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029","https://openalex.org/I4210124427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kangshun Li","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510642, Guangdong, China","School of Computer and Information, Dongguan City University, Dongguan, 523808, Guangdong, China","South China Agricultural University, Guangzhou, China","College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","School of Computer and Information, Dongguan City University, Dongguan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510642, Guangdong, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"School of Computer and Information, Dongguan City University, Dongguan, 523808, Guangdong, China","institution_ids":["https://openalex.org/I4210124427"]},{"raw_affiliation_string":"South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"School of Computer and Information, Dongguan City University, Dongguan, China","institution_ids":["https://openalex.org/I4210124427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026092741"],"corresponding_institution_ids":["https://openalex.org/I101479585","https://openalex.org/I4210124427"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"154"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.995199978351593,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.7721866369247437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6698423027992249},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6339913606643677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5668942332267761},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5522206425666809},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5357508063316345},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4752885103225708},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4721424877643585},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4622172713279724},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.38687384128570557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34282827377319336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32374435663223267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11227422952651978},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08883404731750488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7721866369247437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6698423027992249},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6339913606643677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5668942332267761},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5522206425666809},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5357508063316345},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4752885103225708},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4721424877643585},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4622172713279724},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.38687384128570557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34282827377319336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32374435663223267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11227422952651978},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08883404731750488},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-19-4109-2_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-19-4109-2_14","pdf_url":null,"source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1602182271","https://openalex.org/W1941498359","https://openalex.org/W1979260620","https://openalex.org/W2001239463","https://openalex.org/W2009907187","https://openalex.org/W2014850105","https://openalex.org/W2079972027","https://openalex.org/W2089074647","https://openalex.org/W2101961145","https://openalex.org/W2122378993","https://openalex.org/W2125447566","https://openalex.org/W2126791727","https://openalex.org/W2140405352","https://openalex.org/W2153635508","https://openalex.org/W2165797462","https://openalex.org/W2169495281","https://openalex.org/W2216569943","https://openalex.org/W2329594350","https://openalex.org/W2345613122","https://openalex.org/W2407545225","https://openalex.org/W2432402544","https://openalex.org/W2586899202","https://openalex.org/W2590973145","https://openalex.org/W2625961748","https://openalex.org/W2735680049","https://openalex.org/W2763949715","https://openalex.org/W2782920692","https://openalex.org/W2788659973","https://openalex.org/W2962963674","https://openalex.org/W2965099462","https://openalex.org/W2971740503","https://openalex.org/W3100555577","https://openalex.org/W4247111735","https://openalex.org/W6636494156"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2913302899","https://openalex.org/W3204901196","https://openalex.org/W2123144113","https://openalex.org/W3106568383","https://openalex.org/W2083362030"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}