{"id":"https://openalex.org/W2995304823","doi":"https://doi.org/10.1109/tencon.2019.8929613","title":"Fish Detection and Tracking in Pisciculture Environment using Deep Instance Segmentation","display_name":"Fish Detection and Tracking in Pisciculture Environment using Deep Instance Segmentation","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995304823","doi":"https://doi.org/10.1109/tencon.2019.8929613","mag":"2995304823"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2019.8929613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","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":null,"display_name":"C.S. Arvind","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"C.S. Arvind","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088026268","display_name":"R Prajwal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R Prajwal","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074212117","display_name":"Prithvi Narayana Bhat","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prithvi Narayana Bhat","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016828975","display_name":"A. Sreedevi","orcid":"https://orcid.org/0009-0008-2388-6488"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A Sreedevi","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013333893","display_name":"K N Prabhudeva","orcid":null},"institutions":[{"id":"https://openalex.org/I244504473","display_name":"Karnataka Veterinary Animal and Fisheries Sciences University","ror":"https://ror.org/036p1cm16","country_code":"IN","type":"education","lineage":["https://openalex.org/I244504473"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K N Prabhudeva","raw_affiliation_strings":["Karnataka Veterinary, Animal and Fisheries Sciences University, Bidar, India"],"affiliations":[{"raw_affiliation_string":"Karnataka Veterinary, Animal and Fisheries Sciences University, Bidar, India","institution_ids":["https://openalex.org/I244504473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1628,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.86274603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"778","last_page":"783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9075000286102295,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6060192584991455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5810463428497314},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5598738789558411},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5554352402687073},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5478668808937073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.543129026889801},{"id":"https://openalex.org/keywords/fish-actinopterygii","display_name":"Fish <Actinopterygii>","score":0.5411005020141602},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5079651474952698},{"id":"https://openalex.org/keywords/fish-farming","display_name":"Fish farming","score":0.4324266314506531},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42671677470207214},{"id":"https://openalex.org/keywords/fish-pond","display_name":"Fish pond","score":0.41210219264030457},{"id":"https://openalex.org/keywords/fishery","display_name":"Fishery","score":0.39770516753196716},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3900188207626343},{"id":"https://openalex.org/keywords/aquaculture","display_name":"Aquaculture","score":0.3726004362106323},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3281218707561493},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.27589938044548035},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2579149007797241},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08857473731040955},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06434974074363708}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6060192584991455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5810463428497314},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5598738789558411},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5554352402687073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5478668808937073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.543129026889801},{"id":"https://openalex.org/C2909208804","wikidata":"https://www.wikidata.org/wiki/Q127282","display_name":"Fish <Actinopterygii>","level":2,"score":0.5411005020141602},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5079651474952698},{"id":"https://openalex.org/C141896089","wikidata":"https://www.wikidata.org/wiki/Q209894","display_name":"Fish farming","level":4,"score":0.4324266314506531},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42671677470207214},{"id":"https://openalex.org/C2993729017","wikidata":"https://www.wikidata.org/wiki/Q1265665","display_name":"Fish pond","level":3,"score":0.41210219264030457},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.39770516753196716},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3900188207626343},{"id":"https://openalex.org/C86909935","wikidata":"https://www.wikidata.org/wiki/Q188989","display_name":"Aquaculture","level":3,"score":0.3726004362106323},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3281218707561493},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.27589938044548035},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2579149007797241},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08857473731040955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06434974074363708},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2019.8929613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W603924398","https://openalex.org/W639708223","https://openalex.org/W1577571145","https://openalex.org/W1861492603","https://openalex.org/W2129370949","https://openalex.org/W2137619293","https://openalex.org/W2176692736","https://openalex.org/W2194775991","https://openalex.org/W2285976938","https://openalex.org/W2414372621","https://openalex.org/W2514087538","https://openalex.org/W2561796343","https://openalex.org/W2613718673","https://openalex.org/W2766648222","https://openalex.org/W2810962230","https://openalex.org/W2888728157","https://openalex.org/W2907325611","https://openalex.org/W2949888756","https://openalex.org/W2964253307","https://openalex.org/W4285719527","https://openalex.org/W4291752633","https://openalex.org/W6639102338","https://openalex.org/W6685621955","https://openalex.org/W6703518758","https://openalex.org/W6725924496"],"related_works":["https://openalex.org/W3080954774","https://openalex.org/W4293156170","https://openalex.org/W2080879661","https://openalex.org/W4281399622","https://openalex.org/W2062163837","https://openalex.org/W2788707668","https://openalex.org/W2995734327","https://openalex.org/W2162126475","https://openalex.org/W4385068379","https://openalex.org/W2004923956"],"abstract_inverted_index":{"This":[0],"study":[1,121],"presents":[2],"a":[3,83,97],"novel":[4],"approach":[5],"in":[6,12,15,25,54,77],"detecting":[7],"and":[8,22,39,62,72,117],"tracking":[9,108],"of":[10,20,66,70,174],"fish":[11,24,71,73,115,127,134,144],"pisciculture.":[13],"Pisciculture":[14],"general":[16],"involves":[17],"challenging":[18],"tasks":[19],"counting":[21],"monitoring":[23],"natural":[26,78],"or":[27],"nature":[28],"like,":[29],"man-made":[30],"habitats":[31,81],"such":[32,60],"as":[33],"inland":[34],"fisheries":[35],"for":[36,112],"breeding,":[37],"feeding":[38],"sorting":[40],"purposes.":[41],"These":[42],"are":[43,50,75,157],"presently":[44],"achieved":[45],"using":[46],"conventional":[47],"methods":[48],"that":[49],"inefficient":[51],"when":[52],"implemented":[53],"large-scale":[55],"commercial":[56],"productions.":[57],"To":[58],"overcome":[59],"difficulties":[61],"improve":[63],"the":[64,67],"efficiency":[65],"processes,":[68],"images":[69,132],"seeds":[74],"captured":[76],"murky":[79],"water":[80],"through":[82],"vision":[84],"sensor":[85],"on":[86,129,136,146,181],"board":[87],"an":[88,171],"unmanned":[89],"aerial":[90],"vehicle":[91],"(UAV).":[92],"In":[93],"this":[94],"research":[95],"paper,":[96],"deep":[98],"instance":[99],"segmentation":[100],"algorithm":[101,109],"called":[102],"Mask":[103],"R-CNN":[104],"along":[105,167],"with":[106,153,162,168,170],"GOTURN":[107],"is":[110,122],"employed":[111],"real":[113],"time":[114],"detection":[116,128,135,145],"tracking.":[118,154],"A":[119],"comparison":[120],"also":[123],"carried":[124],"out":[125],"(i)":[126],"high":[130,137,147],"resolution":[131,138,148],"(ii)":[133],"image":[139,149,163],"multi-region":[140,150,164],"parallel":[141,151,165],"processing":[142,152,166],"(iii)":[143],"The":[155],"results":[156],"found":[158],"to":[159],"be":[160],"accurate":[161],"tracking,":[169],"F1":[172],"score":[173],"0.91":[175],"at":[176],"16":[177],"frames":[178],"per":[179],"seconds":[180],"in-land":[182],"fishes":[183],"environment.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":7}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
