{"id":"https://openalex.org/W4322710584","doi":"https://doi.org/10.1109/ipas55744.2022.10053017","title":"Combination of Object Tracking and Object Detection for Animal Recognition","display_name":"Combination of Object Tracking and Object Detection for Animal Recognition","publication_year":2022,"publication_date":"2022-12-05","ids":{"openalex":"https://openalex.org/W4322710584","doi":"https://doi.org/10.1109/ipas55744.2022.10053017"},"language":"en","primary_location":{"id":"doi:10.1109/ipas55744.2022.10053017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas55744.2022.10053017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS)","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/A5112821777","display_name":"Francis Williams","orcid":null},"institutions":[{"id":"https://openalex.org/I161548249","display_name":"Bangor University","ror":"https://ror.org/006jb1a24","country_code":"GB","type":"education","lineage":["https://openalex.org/I161548249"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Francis Williams","raw_affiliation_strings":["School of CSEE, Bangor University,Bangor,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of CSEE, Bangor University,Bangor,UK","institution_ids":["https://openalex.org/I161548249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039168231","display_name":"Ludmila I. Kuncheva","orcid":"https://orcid.org/0000-0002-0415-6964"},"institutions":[{"id":"https://openalex.org/I161548249","display_name":"Bangor University","ror":"https://ror.org/006jb1a24","country_code":"GB","type":"education","lineage":["https://openalex.org/I161548249"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ludmila I. Kuncheva","raw_affiliation_strings":["School of CSEE, Bangor University,Bangor,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of CSEE, Bangor University,Bangor,UK","institution_ids":["https://openalex.org/I161548249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639199","display_name":"Juan J. Rodr\u00edguez","orcid":"https://orcid.org/0000-0002-3291-2739"},"institutions":[{"id":"https://openalex.org/I46176106","display_name":"Universidad de Burgos","ror":"https://ror.org/049da5t36","country_code":"ES","type":"education","lineage":["https://openalex.org/I46176106"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan J. Rodr\u00edguez","raw_affiliation_strings":["Universidad de Burgos,Departamento de Ingenier&#x00ED;a Inform&#x00E1;tica,Burgos,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Burgos,Departamento de Ingenier&#x00ED;a Inform&#x00E1;tica,Burgos,Spain","institution_ids":["https://openalex.org/I46176106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061331935","display_name":"Samuel L. Hennessey","orcid":null},"institutions":[{"id":"https://openalex.org/I161548249","display_name":"Bangor University","ror":"https://ror.org/006jb1a24","country_code":"GB","type":"education","lineage":["https://openalex.org/I161548249"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Samuel L. Hennessey","raw_affiliation_strings":["School of CSEE, Bangor University,Bangor,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of CSEE, Bangor University,Bangor,UK","institution_ids":["https://openalex.org/I161548249"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7107,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71518399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"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":0.9979000091552734,"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":0.9979000091552734,"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":0.9939000010490417,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.7766596078872681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7301453948020935},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6859260201454163},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6488745212554932},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6344462037086487},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6135061383247375},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6050939559936523},{"id":"https://openalex.org/keywords/bespoke","display_name":"Bespoke","score":0.5579541921615601},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.554157555103302},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5082759261131287},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.47775569558143616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766596078872681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7301453948020935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6859260201454163},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6488745212554932},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6344462037086487},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6135061383247375},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6050939559936523},{"id":"https://openalex.org/C44210515","wikidata":"https://www.wikidata.org/wiki/Q16968978","display_name":"Bespoke","level":2,"score":0.5579541921615601},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.554157555103302},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5082759261131287},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.47775569558143616},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas55744.2022.10053017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas55744.2022.10053017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5430700880","display_name":null,"funder_award_id":"PID2020-119894GB-I00","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W149540474","https://openalex.org/W1595717062","https://openalex.org/W1980097476","https://openalex.org/W2078147285","https://openalex.org/W2099355420","https://openalex.org/W2113577207","https://openalex.org/W2136767008","https://openalex.org/W2161969291","https://openalex.org/W2291627510","https://openalex.org/W2901771398","https://openalex.org/W2963813458","https://openalex.org/W3043995050","https://openalex.org/W3118212025","https://openalex.org/W3124372372","https://openalex.org/W4288325606","https://openalex.org/W6680327459","https://openalex.org/W6696672603","https://openalex.org/W6764322716","https://openalex.org/W6798046461"],"related_works":["https://openalex.org/W4287991909","https://openalex.org/W4390721878","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852"],"abstract_inverted_index":{"While":[0],"methods":[1,37,50,63],"for":[2,9,66],"object":[3,35],"detection":[4,36],"and":[5,14,19,23,57,106,108],"tracking":[6],"are":[7],"well-developed":[8],"the":[10,55,58,84,89,92,102,111],"purposes":[11],"of":[12,79,88,104,116],"human":[13],"vehicle":[15],"identification,":[16],"animal":[17,42],"identification":[18],"re-identification":[20],"from":[21,91],"images":[22],"video":[24,60],"is":[25,29,114],"lagging":[26],"behind.":[27],"There":[28],"no":[30],"clarity":[31],"as":[32],"to":[33,100],"which":[34,51],"will":[38],"work":[39],"well":[40],"on":[41,70],"data.":[43],"Here":[44],"we":[45,82],"compare":[46],"two":[47,93],"state-of-the":[48],"art":[49],"output":[52],"bounding":[53],"boxes:":[54],"MMDetector":[56],"UniTrack":[59,107],"tracker.":[61],"Both":[62],"were":[64],"chosen":[65],"their":[67],"high":[68],"ranking":[69],"benchmark":[71],"data":[72],"sets.":[73],"Using":[74],"a":[75,97],"bespoke":[76],"pre-annotated":[77],"database":[78],"five":[80],"videos,":[81],"calculated":[83],"Average":[85],"Precision":[86],"(AP)":[87],"outputs":[90,103],"methods.":[94],"We":[95],"propose":[96],"combination":[98],"method":[99,113],"fuse":[101],"MMDetection":[105],"demonstrate":[109],"that":[110],"proposed":[112],"capable":[115],"outperforming":[117],"both.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
