{"id":"https://openalex.org/W2890276109","doi":"https://doi.org/10.1109/icip.2018.8451057","title":"A Robust and Fast Object Tracking Method Using a Dynamic Mask and an Adaptive Search","display_name":"A Robust and Fast Object Tracking Method Using a Dynamic Mask and an Adaptive Search","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890276109","doi":"https://doi.org/10.1109/icip.2018.8451057","mag":"2890276109"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5103733705","display_name":"Takuya Ogawa","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takuya Ogawa","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation"],"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058678583","display_name":"Kyota Higa","orcid":"https://orcid.org/0009-0008-0526-9662"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kyota Higa","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation"],"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015970754","display_name":"Kengo Makino","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kengo Makino","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation"],"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104078314","display_name":"Shoji Yachida","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoji Yachida","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation"],"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112744684","display_name":"Katsuhiko Takahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuhiko Takahashi","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation"],"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103733705"],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44634182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"3733","last_page":"3737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9930999875068665,"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/robustness","display_name":"Robustness (evolution)","score":0.8831489086151123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7634551525115967},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7563933730125427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6794053316116333},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.47623446583747864},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.44912293553352356},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.41093748807907104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2542116641998291},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.15527665615081787},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10057246685028076}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8831489086151123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7634551525115967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7563933730125427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6794053316116333},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.47623446583747864},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.44912293553352356},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.41093748807907104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2542116641998291},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.15527665615081787},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10057246685028076},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1807914171","https://openalex.org/W2000326692","https://openalex.org/W2016075127","https://openalex.org/W2023640470","https://openalex.org/W2031489346","https://openalex.org/W2034276366","https://openalex.org/W2124211486","https://openalex.org/W2147533695","https://openalex.org/W2158592639","https://openalex.org/W2165737454","https://openalex.org/W2343187456","https://openalex.org/W2477869242","https://openalex.org/W2599618732","https://openalex.org/W6638399501"],"related_works":["https://openalex.org/W2321069309","https://openalex.org/W4389065903","https://openalex.org/W2385949326","https://openalex.org/W1966005655","https://openalex.org/W3135795035","https://openalex.org/W2789220062","https://openalex.org/W2811496562","https://openalex.org/W2094665863","https://openalex.org/W2071984725","https://openalex.org/W2185534064"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,11,36,52,73,99,136],"robust":[4],"and":[5,14,22,33,65,131,151],"fast":[6,133],"object":[7],"tracking":[8],"method":[9,87,108],"using":[10,54],"dynamic":[12,25],"mask":[13,26],"an":[15,48],"adaptive":[16,45],"search":[17,46],"for":[18,39,61,146],"monitoring":[19,147],"suspicious":[20,149],"persons":[21,150],"objects.":[23,153],"The":[24,44],"removes":[27],"appearance":[28,93],"changes":[29,94],"such":[30],"as":[31],"deformation":[32],"occlusion":[34],"from":[35],"target":[37,53,60],"region":[38],"improving":[40,62],"robustness":[41,64,90,130],"of":[42,58,113,124],"tracking.":[43],"restricts":[47],"area":[49],"to":[50,78,91],"detect":[51],"spatial":[55],"temporal":[56],"consistency":[57],"the":[59,63,79,89,92,110,128,132,148,152],"processing":[66,111,134],"speed.":[67],"Two":[68],"experiments":[69],"were":[70],"conducted":[71],"with":[72,98,140],"dataset":[74],"which":[75,116],"is":[76,117],"open":[77],"public.":[80],"First":[81],"experimental":[82,103],"results":[83,104],"show":[84,105],"that":[85,106,123],"our":[86,107],"improves":[88],"by":[95],"1.2-2.7%":[96],"compared":[97],"conventional":[100,125],"method.":[101],"Second":[102],"achieves":[109],"speed":[112],"83.3":[114],"fps,":[115],"approximately":[118],"5.9-208.3":[119],"times":[120],"faster":[121],"than":[122],"methods.":[126],"With":[127],"high":[129],"speed,":[135],"real-time":[137],"surveillance":[138],"system":[139],"pan-tilt-zoom":[141],"cameras":[142],"can":[143],"be":[144],"developed":[145]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}