{"id":"https://openalex.org/W3160498638","doi":"https://doi.org/10.1109/icpr48806.2021.9412291","title":"SynDHN: Multi-Object Fish Tracker Trained on Synthetic Underwater Videos","display_name":"SynDHN: Multi-Object Fish Tracker Trained on Synthetic Underwater Videos","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3160498638","doi":"https://doi.org/10.1109/icpr48806.2021.9412291","mag":"3160498638"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5012725992","display_name":"Mygel Andrei M. Martija","orcid":"https://orcid.org/0000-0001-5260-4429"},"institutions":[{"id":"https://openalex.org/I103911934","display_name":"University of the Philippines System","ror":"https://ror.org/02hqkr514","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Mygel Andrei M. Martija","raw_affiliation_strings":["University of the Philippines"],"affiliations":[{"raw_affiliation_string":"University of the Philippines","institution_ids":["https://openalex.org/I103911934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005869214","display_name":"Prospero C. Naval","orcid":"https://orcid.org/0000-0001-7140-1707"},"institutions":[{"id":"https://openalex.org/I103911934","display_name":"University of the Philippines System","ror":"https://ror.org/02hqkr514","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Prospero C. Naval","raw_affiliation_strings":["University of the Philippines"],"affiliations":[{"raw_affiliation_string":"University of the Philippines","institution_ids":["https://openalex.org/I103911934"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012725992"],"corresponding_institution_ids":["https://openalex.org/I103911934"],"apc_list":null,"apc_paid":null,"fwci":0.3447,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59344783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8841","last_page":"8848"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9976999759674072,"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":0.9976999759674072,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9947999715805054,"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/T11019","display_name":"Image Enhancement Techniques","score":0.963699996471405,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8530528545379639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7748019695281982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7207083106040955},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6701849102973938},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6390748620033264},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6227470636367798},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5922625064849854},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5860474705696106},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.54363614320755},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5359358191490173},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5321917533874512},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5272029042243958},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4961133897304535},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4700077176094055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3657873868942261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09222736954689026},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08678048849105835},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0668599009513855}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8530528545379639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7748019695281982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7207083106040955},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6701849102973938},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6390748620033264},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6227470636367798},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5922625064849854},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5860474705696106},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.54363614320755},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5359358191490173},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5321917533874512},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5272029042243958},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4961133897304535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4700077176094055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3657873868942261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09222736954689026},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08678048849105835},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0668599009513855},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335589","display_name":"Philippine Council for Industry, Energy, and Emerging Technology Research and Development","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1514923623","https://openalex.org/W1590686026","https://openalex.org/W2023951840","https://openalex.org/W2067191022","https://openalex.org/W2105934661","https://openalex.org/W2111644456","https://openalex.org/W2124351162","https://openalex.org/W2124781496","https://openalex.org/W2150066425","https://openalex.org/W2161969291","https://openalex.org/W2194775991","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2288141044","https://openalex.org/W2291627510","https://openalex.org/W2295615964","https://openalex.org/W2297365371","https://openalex.org/W2402606673","https://openalex.org/W2511791013","https://openalex.org/W2576219629","https://openalex.org/W2579024533","https://openalex.org/W2590070167","https://openalex.org/W2596030096","https://openalex.org/W2598634450","https://openalex.org/W2613718673","https://openalex.org/W2766105287","https://openalex.org/W2895071559","https://openalex.org/W2908783938","https://openalex.org/W2920942303","https://openalex.org/W2925763461","https://openalex.org/W2944299331","https://openalex.org/W2953920664","https://openalex.org/W2962803115","https://openalex.org/W2963351448","https://openalex.org/W2963834878","https://openalex.org/W2963857746","https://openalex.org/W2964238416","https://openalex.org/W2971306974","https://openalex.org/W2981393651","https://openalex.org/W3003490096","https://openalex.org/W3009419647","https://openalex.org/W3016298629","https://openalex.org/W3016920400","https://openalex.org/W3034679090","https://openalex.org/W3035442500","https://openalex.org/W3035727180","https://openalex.org/W3104218139","https://openalex.org/W4287814520","https://openalex.org/W6620707391","https://openalex.org/W6696672603","https://openalex.org/W6712737577","https://openalex.org/W6725558437"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2005801347","https://openalex.org/W2372385138","https://openalex.org/W2186640231","https://openalex.org/W4315498985","https://openalex.org/W2965594636","https://openalex.org/W2912550626"],"abstract_inverted_index":{"In":[0],"this":[1,77,95],"paper,":[2],"we":[3,89,98],"seek":[4],"to":[5,50,59,127,169],"extend":[6],"multi-object":[7,19],"tracking":[8,20,26,87,130,173],"research":[9],"on":[10,162],"a":[11,66,91,116,163],"relatively":[12],"less":[13],"explored":[14],"domain,":[15],"that":[16,158],"of,":[17],"underwater":[18,171],"in":[21],"the":[22,45,81,109,120,129,137],"wild.":[23],"Multi-object":[24],"fish":[25,35,60],"is":[27,65,115],"an":[28,56,69,100],"important":[29],"task":[30,138],"because":[31],"it":[32,53],"can":[33,54],"provide":[34],"monitoring":[36],"systems":[37],"with":[38,73],"richer":[39],"information":[40],"(e.g.":[41],"multiple":[42],"views":[43],"of":[44,68,119,132,139],"same":[46],"fish)":[47],"as":[48],"compared":[49],"detections":[51],"and":[52,103,149,174],"be":[55],"invaluable":[57],"input":[58],"behavior":[61],"analysis.":[62],"However,":[63],"there":[64],"lack":[67],"annotated":[70],"benchmark":[71],"dataset":[72],"enough":[74],"samples":[75],"for":[76,83,152],"task.":[78],"To":[79],"circumvent":[80],"need":[82],"manual":[84],"ground":[85],"truth":[86],"annotation,":[88],"craft":[90],"synthetic":[92,96,164],"dataset.":[93],"Using":[94],"dataset,":[97,165],"train":[99],"integrated":[101],"detector":[102,143],"tracker":[104],"called":[105],"SynDHN.":[106],"SynDHN":[107,166],"uses":[108],"Deep":[110],"Hungarian":[111,121],"Network":[112],"(DHN),":[113],"which":[114],"differentiable":[117],"approximation":[118],"assignment":[122],"algorithm.":[123],"We":[124,145],"repurpose":[125],"DHN":[126],"become":[128],"component":[131],"our":[133,178],"algorithm":[134],"by":[135],"performing":[136],"affinity":[140,153],"estimation":[141],"between":[142],"predictions.":[144],"consider":[146],"both":[147],"spatial":[148],"appearance":[150],"features":[151],"estimation.":[154],"Our":[155],"results":[156],"show":[157],"despite":[159],"being":[160],"trained":[161],"generalizes":[167],"well":[168],"real":[170],"video":[172],"performs":[175],"better":[176],"against":[177],"baseline":[179],"algorithms.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
