{"id":"https://openalex.org/W4388950979","doi":"https://doi.org/10.1109/icccnt56998.2023.10307449","title":"Person Image Generation To Enhance The Input Training Image For Re-Identification","display_name":"Person Image Generation To Enhance The Input Training Image For Re-Identification","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388950979","doi":"https://doi.org/10.1109/icccnt56998.2023.10307449"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307449","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5075550082","display_name":"P S Anjali","orcid":null},"institutions":[{"id":"https://openalex.org/I133769559","display_name":"Government Medical College","ror":"https://ror.org/016je1253","country_code":"IN","type":"education","lineage":["https://openalex.org/I133769559"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjali P S","raw_affiliation_strings":["Government Engineering College,Department of Computer Science and Engineering,Thrissur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Government Engineering College,Department of Computer Science and Engineering,Thrissur,India","institution_ids":["https://openalex.org/I133769559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091296973","display_name":"K. Rahamathulla","orcid":null},"institutions":[{"id":"https://openalex.org/I133769559","display_name":"Government Medical College","ror":"https://ror.org/016je1253","country_code":"IN","type":"education","lineage":["https://openalex.org/I133769559"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahamathulla K","raw_affiliation_strings":["Government Engineering College,Department of Computer Science and Engineering,Thrissur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Government Engineering College,Department of Computer Science and Engineering,Thrissur,India","institution_ids":["https://openalex.org/I133769559"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103093312","display_name":"Kirtika Swaraj","orcid":"https://orcid.org/0000-0002-8508-3866"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swaraj K P","raw_affiliation_strings":["Government Engineering College Sreekrishnapuram,Department of Computer Science and Engineering,Palakkad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Government Engineering College Sreekrishnapuram,Department of Computer Science and Engineering,Palakkad,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14779346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"6"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9987999796867371,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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":0.7851120233535767},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7408862709999084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7060093283653259},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.66290682554245},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6273244619369507},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6101762652397156},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5737472176551819},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5525863766670227},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5286405682563782},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.43878331780433655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851120233535767},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7408862709999084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7060093283653259},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.66290682554245},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6273244619369507},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6101762652397156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5737472176551819},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5525863766670227},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5286405682563782},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.43878331780433655},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307449","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":24,"referenced_works":["https://openalex.org/W2508457857","https://openalex.org/W2890159224","https://openalex.org/W2914162688","https://openalex.org/W2962730651","https://openalex.org/W2962819541","https://openalex.org/W2962963674","https://openalex.org/W2963266880","https://openalex.org/W2964002510","https://openalex.org/W2998727641","https://openalex.org/W3021075672","https://openalex.org/W3036790102","https://openalex.org/W3081727869","https://openalex.org/W3106811106","https://openalex.org/W3126592333","https://openalex.org/W3138952662","https://openalex.org/W3177370829","https://openalex.org/W3214985077","https://openalex.org/W4285232958","https://openalex.org/W4291910336","https://openalex.org/W4295046489","https://openalex.org/W4313591742","https://openalex.org/W4361761834","https://openalex.org/W6738824914","https://openalex.org/W6754663736"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"The":[0],"process":[1],"of":[2,25,28,65,71],"recognizing":[3],"a":[4,12,37,42,86],"person":[5,53,89,103],"from":[6],"photos":[7],"or":[8],"videos":[9],"taken":[10],"with":[11],"different":[13],"camera":[14],"is":[15,45,58],"called":[16],"re-identification":[17,47,54],"(reID).":[18],"In":[19,82],"today\u2019s":[20],"world,":[21],"the":[22,63,66,69,75],"widespread":[23],"use":[24],"extensive":[26],"networks":[27],"CCTV":[29],"and":[30,74],"security":[31],"cameras":[32],"makes":[33],"it":[34],"difficult":[35],"for":[36,88],"human":[38,72],"operator":[39],"to":[40,62,77,100],"trace":[41],"person.":[43],"This":[44],"where":[46],"technology":[48],"comes":[49],"into":[50],"play.":[51],"However,":[52],"in":[55],"real-world":[56],"applications":[57],"very":[59],"challenging":[60],"due":[61],"size":[64],"existing":[67],"dataset,":[68],"lack":[70],"motions,":[73],"inability":[76],"supply":[78],"enough":[79],"training":[80],"samples.":[81],"this":[83],"paper,":[84],"proposed":[85],"method":[87],"image":[90],"generation":[91],"using":[92],"Generative":[93],"Adversarial":[94],"Networks":[95],"(GANs).":[96],"GANs":[97],"allow":[98],"us":[99],"build":[101],"additional":[102],"images":[104],"that":[105],"look":[106],"as":[107,109],"realistic":[108],"possible.":[110]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
