{"id":"https://openalex.org/W2051771954","doi":"https://doi.org/10.1109/icnc.2014.6975967","title":"Mosaic method based on feature points detection and tracking for unmanned aerial vehicle videos","display_name":"Mosaic method based on feature points detection and tracking for unmanned aerial vehicle videos","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2051771954","doi":"https://doi.org/10.1109/icnc.2014.6975967","mag":"2051771954"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2014.6975967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2014.6975967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 10th International Conference on Natural Computation (ICNC)","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/A5115595137","display_name":"Guangyuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyuan Zhang","raw_affiliation_strings":["School of Information Science & Electronic Engineering, Shandong Jiaotong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science & Electronic Engineering, Shandong Jiaotong University, Jinan, China","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007120780","display_name":"Zhengfang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengfang Zhu","raw_affiliation_strings":["School of Information Science & Electronic Engineering, Shandong Jiaotong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science & Electronic Engineering, Shandong Jiaotong University, Jinan, China","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003247744","display_name":"Guannan Si","orcid":"https://orcid.org/0009-0004-4152-5994"},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guannan Si","raw_affiliation_strings":["School of Information Science & Electronic Engineering, Shandong Jiaotong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science & Electronic Engineering, Shandong Jiaotong University, Jinan, China","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009222019","display_name":"Xiaolin Wei","orcid":"https://orcid.org/0000-0002-3983-047X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolin Wei","raw_affiliation_strings":["Northern Heavy Industries Group Co. Ltd, Shenyang, China","Northern Heavy Industries Group Co. Ltd., Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northern Heavy Industries Group Co. Ltd, Shenyang, China","institution_ids":[]},{"raw_affiliation_string":"Northern Heavy Industries Group Co. Ltd., Shenyang, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"948","last_page":"952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.994700014591217,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7961593866348267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7807408571243286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7094148397445679},{"id":"https://openalex.org/keywords/corner-detection","display_name":"Corner detection","score":0.6022772789001465},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5835950374603271},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5738556385040283},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5358556509017944},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.519020676612854},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.48804962635040283},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.47645333409309387},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4564502239227295},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.44369930028915405},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.443217009305954},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.44067421555519104},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4287394881248474},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2320311963558197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17625468969345093}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7961593866348267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7807408571243286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7094148397445679},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.6022772789001465},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5835950374603271},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5738556385040283},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5358556509017944},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.519020676612854},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.48804962635040283},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.47645333409309387},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4564502239227295},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.44369930028915405},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.443217009305954},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.44067421555519104},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4287394881248474},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2320311963558197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17625468969345093},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2014.6975967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2014.6975967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 10th International Conference on Natural Computation (ICNC)","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":16,"referenced_works":["https://openalex.org/W1514015969","https://openalex.org/W1529283914","https://openalex.org/W1565206031","https://openalex.org/W1570212358","https://openalex.org/W2086908079","https://openalex.org/W2100417066","https://openalex.org/W2111308925","https://openalex.org/W2118877769","https://openalex.org/W2136113379","https://openalex.org/W2141489710","https://openalex.org/W2924518260","https://openalex.org/W6631692553","https://openalex.org/W6633567737","https://openalex.org/W6634080110","https://openalex.org/W6675049272","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W2384529544","https://openalex.org/W2362110088","https://openalex.org/W2119399348","https://openalex.org/W1565457536","https://openalex.org/W2900021640","https://openalex.org/W2006302445","https://openalex.org/W2185842017","https://openalex.org/W2083769516","https://openalex.org/W2534909612","https://openalex.org/W2110554513"],"abstract_inverted_index":{"This":[0],"paper":[1],"explains":[2],"and":[3,33,42,104],"implements":[4],"a":[5,27],"fast":[6,87],"image":[7,69,80,88],"mosaic":[8,89],"algorithm":[9,41,47,73],"for":[10,68,79,95],"unmanned":[11],"aerial":[12],"vehicle":[13],"(UAV)":[14],"sequence":[15],"images.":[16],"In":[17],"this":[18],"algorithm,":[19,32],"feature":[20,57],"points":[21,44],"between":[22,63],"images":[23,65,99],"are":[24,66],"matched":[25],"using":[26],"modified":[28],"Harris":[29],"corner":[30,43],"detection":[31],"then":[34],"an":[35,52],"improved":[36],"pyramid":[37],"Lucas-Kanade":[38],"optical":[39],"flow":[40],"matching":[45],"authentication":[46],"is":[48,77],"used":[49,78],"to":[50],"achieve":[51],"effective":[53],"match":[54],"of":[55,74],"the":[56,60,86,96],"points.":[58],"Next,":[59],"transformation":[61],"parameters":[62],"two":[64],"obtained":[67],"transformation.":[70],"Finally,":[71],"synthetic":[72],"gradually":[75],"progressive":[76],"fusion.":[81],"Experimental":[82],"results":[83,94],"show":[84],"that":[85],"method":[90],"can":[91],"get":[92],"good":[93],"proposed":[97],"video":[98],"which":[100],"existing":[101],"rotation,":[102],"translation":[103],"noise":[105],"distraction.":[106]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}