{"id":"https://openalex.org/W4379232150","doi":"https://doi.org/10.3390/sym15061194","title":"Multi-Object Detection and Tracking Using Reptile Search Optimization Algorithm with Deep Learning","display_name":"Multi-Object Detection and Tracking Using Reptile Search Optimization Algorithm with Deep Learning","publication_year":2023,"publication_date":"2023-06-02","ids":{"openalex":"https://openalex.org/W4379232150","doi":"https://doi.org/10.3390/sym15061194"},"language":"en","primary_location":{"id":"doi:10.3390/sym15061194","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15061194","pdf_url":"https://www.mdpi.com/2073-8994/15/6/1194/pdf?version=1685711355","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/6/1194/pdf?version=1685711355","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084211429","display_name":"Ramachandran Alagarsamy","orcid":"https://orcid.org/0000-0002-6417-6422"},"institutions":[{"id":"https://openalex.org/I4210119396","display_name":"Social Service Sericulture Project Trust","ror":"https://ror.org/02sb4r018","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210119396"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ramachandran Alagarsamy","raw_affiliation_strings":["Department of Electronics and Communication Engineering, SSM Institute of Engineering and Technology, Dindigul 624002, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, SSM Institute of Engineering and Technology, Dindigul 624002, India","institution_ids":["https://openalex.org/I4210119396"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061239404","display_name":"M. Dhamodaran","orcid":"https://orcid.org/0000-0001-9317-2917"},"institutions":[{"id":"https://openalex.org/I4387154466","display_name":"M. Kumarasamy College of Engineering","ror":"https://ror.org/03z0n5k81","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154466"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhamodaran Muneeswaran","raw_affiliation_strings":["Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur 639113, India"],"raw_orcid":"https://orcid.org/0000-0001-9317-2917","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur 639113, India","institution_ids":["https://openalex.org/I4387154466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084211429"],"corresponding_institution_ids":["https://openalex.org/I4210119396"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.3415,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5729369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":"6","first_page":"1194","last_page":"1194"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9635000228881836,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7682561874389648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.749726414680481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6612643599510193},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5850675702095032},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5824998617172241},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5794010758399963},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5294544100761414},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5039867758750916},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.502417802810669},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.4628327190876007},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4351252615451813},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4313291907310486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3302258253097534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7682561874389648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.749726414680481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6612643599510193},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5850675702095032},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5824998617172241},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5794010758399963},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5294544100761414},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5039867758750916},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.502417802810669},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4628327190876007},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4351252615451813},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4313291907310486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3302258253097534},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/sym15061194","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15061194","pdf_url":"https://www.mdpi.com/2073-8994/15/6/1194/pdf?version=1685711355","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2016e1c4e2a443d8ba1c734da17dee2c","is_oa":false,"landing_page_url":"https://doaj.org/article/2016e1c4e2a443d8ba1c734da17dee2c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 15, Iss 6, p 1194 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/sym15061194","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15061194","pdf_url":"https://www.mdpi.com/2073-8994/15/6/1194/pdf?version=1685711355","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379232150.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W823554741","https://openalex.org/W2080249853","https://openalex.org/W2118345389","https://openalex.org/W2124781496","https://openalex.org/W2511791013","https://openalex.org/W2803704088","https://openalex.org/W2972589823","https://openalex.org/W3035442500","https://openalex.org/W3084173793","https://openalex.org/W3086436251","https://openalex.org/W3095753995","https://openalex.org/W3104778224","https://openalex.org/W3110144974","https://openalex.org/W3127935603","https://openalex.org/W3135650890","https://openalex.org/W3138483437","https://openalex.org/W3154571917","https://openalex.org/W3165926952","https://openalex.org/W3167949052","https://openalex.org/W3188558905","https://openalex.org/W3207452968","https://openalex.org/W3211145438","https://openalex.org/W4206377969","https://openalex.org/W4221145330","https://openalex.org/W4226546914","https://openalex.org/W4282829178","https://openalex.org/W4286904999","https://openalex.org/W4291939769","https://openalex.org/W4296483163","https://openalex.org/W4307122090","https://openalex.org/W4312473433","https://openalex.org/W4312689495","https://openalex.org/W4313072323","https://openalex.org/W4313252567","https://openalex.org/W4313408215","https://openalex.org/W4315647380","https://openalex.org/W4317243195"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W2971551846","https://openalex.org/W2965594636","https://openalex.org/W2164674712"],"abstract_inverted_index":{"Multiple-Object":[0],"Tracking":[1,39],"(MOT)":[2],"has":[3],"become":[4],"more":[5],"popular":[6],"because":[7,27],"of":[8,28,78,118,165,202,245,255],"its":[9],"commercial":[10],"and":[11,35,51,87,92,97,116,137,148,158,172,235],"academic":[12],"potential.":[13],"Though":[14],"various":[15],"techniques":[16],"were":[17],"devised":[18],"for":[19,223,238],"managing":[20],"this":[21,57,122],"issue,":[22],"it":[23],"becomes":[24],"a":[25,61,75,125,163,184,211],"challenge":[26],"factors":[29],"such":[30,68],"as":[31,69,210],"severe":[32],"object":[33,46,135,168,170,173,188,242],"occlusions":[34],"abrupt":[36],"appearance":[37],"changes.":[38],"presents":[40],"the":[41,45,53,95,107,112,119,150,176,179,193,199,203,206,215,240,246,253,256],"optimal":[42],"outcomes":[43,244],"whenever":[44],"moves":[47],"uniformly":[48],"without":[49],"occlusion":[50],"in":[52,65],"same":[54],"direction.":[55],"However,":[56],"is":[58,208,221],"generally":[59],"not":[60],"real":[62],"scenario,":[63],"particularly":[64],"complicated":[66],"scenes":[67],"dance":[70],"events":[71],"or":[72],"sporting":[73],"where":[74],"greater":[76],"number":[77],"players":[79],"are":[80,100],"tracked,":[81],"moving":[82],"quickly,":[83],"varying":[84],"their":[85],"speed":[86],"direction,":[88],"along":[89],"with":[90,131,154],"distance":[91],"position":[93,155],"from":[94],"camera":[96],"activity":[98],"they":[99],"executing.":[101],"In":[102],"dynamic":[103],"scenes,":[104],"MOT":[105],"remains":[106],"main":[108],"difficulty":[109],"due":[110],"to":[111,146],"symmetrical":[113],"shape,":[114],"structure,":[115],"size":[117],"objects.":[120],"Therefore,":[121],"study":[123],"develops":[124],"new":[126],"reptile":[127],"search":[128],"optimization":[129],"algorithm":[130],"deep":[132],"learning-based":[133],"multiple":[134],"detection":[136,189,243],"tracking":[138],"(RSOADL\u2013MODT)":[139],"techniques.":[140],"The":[141,249],"presented":[142,180],"RSOADL\u2013MODT":[143,181,247,257],"model":[144],"intends":[145],"recognize":[147],"track":[149],"objects":[151],"that":[152],"exist":[153],"estimation,":[156],"tracking,":[157],"action":[159],"recognition.":[160],"It":[161],"follows":[162],"series":[164],"processes,":[166],"namely":[167],"detection,":[169],"classification,":[171],"tracking.":[174],"At":[175],"initial":[177],"stage,":[178],"technique":[182],"applies":[183],"path-augmented":[185],"RetinaNet-based":[186],"(PA\u2013RetinaNet)":[187],"module,":[190],"which":[191],"improves":[192],"feature":[194],"extraction":[195],"process.":[196],"To":[197],"improvise":[198],"network":[200,218],"potentiality":[201],"PA\u2013RetinaNet":[204],"method,":[205],"RSOA":[207],"utilized":[209],"hyperparameter":[212],"optimizer.":[213],"Finally,":[214],"quasi-recurrent":[216],"neural":[217],"(QRNN)":[219],"classifier":[220],"exploited":[222],"classification":[224],"procedures.":[225],"A":[226],"wide-ranging":[227],"experimental":[228],"validation":[229],"process":[230],"takes":[231],"place":[232],"on":[233],"DanceTrack":[234],"MOT17":[236],"datasets":[237],"examining":[239],"effectual":[241],"algorithm.":[248],"simulation":[250],"values":[251],"confirmed":[252],"enhancements":[254],"method":[258],"over":[259],"other":[260],"DL":[261],"approaches.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}