{"id":"https://openalex.org/W3120221035","doi":"https://doi.org/10.1145/3436369.3437442","title":"A Tracking Algorithm with Dynamic Response Fusion Mechanism","display_name":"A Tracking Algorithm with Dynamic Response Fusion Mechanism","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3120221035","doi":"https://doi.org/10.1145/3436369.3437442","mag":"3120221035"},"language":"en","primary_location":{"id":"doi:10.1145/3436369.3437442","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436369.3437442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition","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/A5079370922","display_name":"Zhanpeng Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhanpeng Gan","raw_affiliation_strings":["College of computer and Information Engineering, Xiamen University of Technology, CHN"],"affiliations":[{"raw_affiliation_string":"College of computer and Information Engineering, Xiamen University of Technology, CHN","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102302588","display_name":"Huarong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huarong Xu","raw_affiliation_strings":["College of computer and Information Engineering, Xiamen University of Technology, Xialong Engineering Technology Research Institute, CHN"],"affiliations":[{"raw_affiliation_string":"College of computer and Information Engineering, Xiamen University of Technology, Xialong Engineering Technology Research Institute, CHN","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091809505","display_name":"Yuanrong He","orcid":"https://orcid.org/0000-0003-0783-9733"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanrong He","raw_affiliation_strings":["College of computer and Information Engineering, Xiamen University of Technology, CHN"],"affiliations":[{"raw_affiliation_string":"College of computer and Information Engineering, Xiamen University of Technology, CHN","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065755950","display_name":"Wei Cao","orcid":"https://orcid.org/0000-0002-4559-184X"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Cao","raw_affiliation_strings":["College of computer and Information Engineering, Xiamen University of Technology, CHN"],"affiliations":[{"raw_affiliation_string":"College of computer and Information Engineering, Xiamen University of Technology, CHN","institution_ids":["https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079370922"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16456611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"369","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.7364714741706848},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7344479560852051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6197167038917542},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5969818830490112},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5513616800308228},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5489920377731323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5356241464614868},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.529621422290802},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45993971824645996},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4241604208946228},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.40825119614601135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3202623724937439}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364714741706848},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7344479560852051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6197167038917542},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5969818830490112},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5513616800308228},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5489920377731323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5356241464614868},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.529621422290802},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45993971824645996},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4241604208946228},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.40825119614601135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3202623724937439},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3436369.3437442","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3436369.3437442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition","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":9,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W2044986361","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2233847161","https://openalex.org/W2593873012","https://openalex.org/W2962864296","https://openalex.org/W3016952412","https://openalex.org/W4236060337"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2152662039","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W4388689193"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,25,44,57],"improve":[3],"the":[4,7,15,21,27,32,38,45,63,78],"accuracy":[5,84],"of":[6,29],"traditional":[8],"correlation":[9],"filtering":[10],"tracking":[11,33,70,75,83],"algorithm":[12],"(staple)":[13],"in":[14,49,62],"light":[16],"changing":[17],"scene,":[18],"we":[19,53],"introduce":[20],"dynamic":[22],"fusion":[23],"method":[24],"overcome":[26],"influence":[28],"illumination":[30],"on":[31,72],"accuracy,":[34],"and":[35,82],"dynamically":[36],"highlights":[37],"target":[39,74],"candidate":[40],"probability":[41],"area.":[42,65],"According":[43],"object":[46],"movement":[47],"characteristics":[48],"a":[50,55],"short":[51],"time,":[52],"use":[54],"mask":[56],"removes":[58],"some":[59],"redundant":[60],"points":[61],"search":[64],"Compared":[66],"with":[67],"other":[68,88],"common":[69],"algorithms":[71],"OTB-100":[73],"data":[76],"set,":[77],"average":[79],"success":[80],"rate":[81],"are":[85],"better":[86],"than":[87],"algorithms.":[89]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}