{"id":"https://openalex.org/W4205565310","doi":"https://doi.org/10.1145/3503047.3503098","title":"Cell Tracking based on Multi-frame Detection and Feature Fusion","display_name":"Cell Tracking based on Multi-frame Detection and Feature Fusion","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4205565310","doi":"https://doi.org/10.1145/3503047.3503098"},"language":"en","primary_location":{"id":"doi:10.1145/3503047.3503098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503047.3503098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101660899","display_name":"Wanli Yang","orcid":"https://orcid.org/0000-0002-4184-5929"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanli Yang","raw_affiliation_strings":["School of Electronic and Information Engineering, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768288","display_name":"Huawei Li","orcid":"https://orcid.org/0000-0001-8082-4218"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455958","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0003-3462-8472"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110478871","display_name":"Dianle Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianle Zhou","raw_affiliation_strings":["School of Advanced Interdisciplinary Studies, National University of Defence Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Advanced Interdisciplinary Studies, National University of Defence Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0955,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41667199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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":0.9995999932289124,"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":0.9995999932289124,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7991042137145996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7513525485992432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6955610513687134},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6601734161376953},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6140758395195007},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5957072973251343},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5721590518951416},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5442282557487488},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5051589608192444},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.46094760298728943},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.43598055839538574}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7991042137145996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7513525485992432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6955610513687134},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6601734161376953},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6140758395195007},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5957072973251343},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5721590518951416},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5442282557487488},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5051589608192444},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.46094760298728943},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.43598055839538574},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503047.3503098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503047.3503098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","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":23,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2106655998","https://openalex.org/W2141273399","https://openalex.org/W2151538727","https://openalex.org/W2155296963","https://openalex.org/W2167510172","https://openalex.org/W2194775991","https://openalex.org/W2198296987","https://openalex.org/W2518013266","https://openalex.org/W2550458994","https://openalex.org/W2557641257","https://openalex.org/W2604272474","https://openalex.org/W2768621707","https://openalex.org/W2806940272","https://openalex.org/W2807373645","https://openalex.org/W2884436604","https://openalex.org/W2887556118","https://openalex.org/W2963163009","https://openalex.org/W2963574983","https://openalex.org/W2990598020","https://openalex.org/W2999418717","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W3165040664","https://openalex.org/W2350539780","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W4242386713","https://openalex.org/W2377883971","https://openalex.org/W2390520202"],"abstract_inverted_index":{"Cell":[0],"tracking":[1,58,88,108],"is":[2],"a":[3,35,55,87],"challenging":[4],"task":[5],"in":[6],"computer":[7],"vision":[8],"because":[9],"of":[10,13,41,94],"dramatic":[11],"changes":[12],"cell":[14,31,44,57,68,74,77],"morphology,":[15],"unregular":[16],"movement":[17],"pattern,":[18],"and":[19,26,76,82,98,114],"complex":[20],"physiological":[21],"phenomena":[22],"such":[23],"as":[24],"mitosis":[25,75],"apoptosis.":[27],"In":[28,50],"recent":[29],"years,":[30],"image":[32],"processing":[33],"benefits":[34],"lot":[36],"from":[37],"the":[38,92],"rapid":[39],"development":[40],"deep":[42,95,99],"learning:":[43],"detection,":[45],"segmentation,":[46],"classification,":[47],"especially":[48],"tracking.":[49],"this":[51],"paper,":[52],"we":[53,64,85],"propose":[54,65],"multiple":[56],"framework":[59,89],"based-on":[60],"multi-feature":[61],"fusion.":[62],"First,":[63],"an":[66],"improved":[67],"detection":[69],"algorithm,":[70],"which":[71],"can":[72],"detect":[73],"centroid":[78],"with":[79],"higher":[80],"efficiency":[81],"accuracy.":[83],"Second,":[84],"design":[86],"based":[90],"on":[91],"fusion":[93],"appearance":[96],"feature":[97],"motion":[100],"feature.":[101],"Experimental":[102],"results":[103],"show":[104],"that":[105],"our":[106],"proposed":[107],"method":[109,113],"outperforms":[110],"most":[111],"traditional":[112],"some":[115],"state-of-the-art":[116],"methods.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
