{"id":"https://openalex.org/W2103439352","doi":null,"title":"Video Tracking Algorithm for UnmannedAerial Vehicle Surveillance","display_name":"Video Tracking Algorithm for UnmannedAerial Vehicle Surveillance","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2103439352","mag":"2103439352"},"language":"en","primary_location":{"id":"pmh:oai:DiVA.org:kth-98206","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98206","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98206","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022922186","display_name":"Olov Samuelsson","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Olov Samuelsson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5022922186"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/video-object-tracking","display_name":"video object tracking","score":0.8709999918937683},{"id":"https://openalex.org/keywords/particle-filtering","display_name":"particle filter","score":0.8180000185966492},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.9620000123977661},{"id":"https://openalex.org/keywords/edge-orientation-histogram","display_name":"edge orientation histogram","score":0.8700000047683716},{"id":"https://openalex.org/keywords/strong-classifier","display_name":"strong classifier","score":0.7580000162124634},{"id":"https://openalex.org/keywords/weak-classifiers","display_name":"weak classifiers","score":0.7919999957084656},{"id":"https://openalex.org/keywords/foreground-background-classification","display_name":"foreground-background classification","score":0.6380000114440918},{"id":"https://openalex.org/keywords/appearance-changes","display_name":"appearance changes","score":0.7540000081062317},{"id":"https://openalex.org/keywords/real-time-tracking","display_name":"real-time tracking","score":0.7429999709129333},{"id":"https://openalex.org/keywords/small-target-tracking","display_name":"small object tracking","score":0.6349999904632568},{"id":"https://openalex.org/keywords/partial-occlusion","display_name":"partial occlusion","score":0.6309999823570251},{"id":"https://openalex.org/keywords/target-detection","display_name":"target detection","score":0.30799999833106995},{"id":"https://openalex.org/keywords/target-representation","display_name":"target representation","score":0.7009999752044678},{"id":"https://openalex.org/keywords/observation-model","display_name":"observation model","score":0.6850000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5870712995529175},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.4538690745830536},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44104355573654175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3982992470264435},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3931199312210083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3582296371459961},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1196025013923645},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:DiVA.org:kth-98206","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98206","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},{"id":"mag:2103439352","doi":null,"is_oa":false,"landing_page_url":"http://kth.diva-portal.org/smash/get/diva2:535572/FULLTEXT01.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:DiVA.org:kth-98206","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98206","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W10518661","https://openalex.org/W410107069","https://openalex.org/W1483307070","https://openalex.org/W1601741105","https://openalex.org/W1677409904","https://openalex.org/W1766717923","https://openalex.org/W1970923953","https://openalex.org/W1977825281","https://openalex.org/W1988790447","https://openalex.org/W1995903777","https://openalex.org/W2000326692","https://openalex.org/W2006687482","https://openalex.org/W2012685872","https://openalex.org/W2020934227","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2085261163","https://openalex.org/W2093717447","https://openalex.org/W2111308925","https://openalex.org/W2111918405","https://openalex.org/W2115606256","https://openalex.org/W2118877769","https://openalex.org/W2119605622","https://openalex.org/W2119747362","https://openalex.org/W2120907774","https://openalex.org/W2122675580","https://openalex.org/W2128027845","https://openalex.org/W2131393045","https://openalex.org/W2139047213","https://openalex.org/W2147953023","https://openalex.org/W2151103935","https://openalex.org/W2159128898","https://openalex.org/W2160337655","https://openalex.org/W2161348917","https://openalex.org/W2161406034","https://openalex.org/W2164598857","https://openalex.org/W2167089254","https://openalex.org/W2187885606","https://openalex.org/W2293873019","https://openalex.org/W2571050459","https://openalex.org/W2613779721","https://openalex.org/W3040777582","https://openalex.org/W3097096317","https://openalex.org/W3210501713"],"related_works":["https://openalex.org/W2051382300","https://openalex.org/W6976331763","https://openalex.org/W2295373258","https://openalex.org/W2469469890","https://openalex.org/W2332251318","https://openalex.org/W1580265814","https://openalex.org/W2392805659","https://openalex.org/W2760863472","https://openalex.org/W2997830553","https://openalex.org/W1991524756"],"abstract_inverted_index":{"On":[0],"behalf":[1],"of":[2,14,25,41,102,108,139,246,297,318,336],"Avia":[3,17],"Satcom":[4,18],"Co.,":[5,19],"Ltd.":[6,20],"we":[7,78,173,199,278,328,364,441],"have":[8,79,211,226],"conducted":[9],"research":[10],"in":[11,22,34,71,76,85,97,113,222,360,410,431,435],"the":[12,23,50,69,86,100,106,140,148,151,161,166,177,197,252,259,276,326,339,375,388,405,419,446],"eld":[13,87],"Computer":[15],"Vision.":[16],"is":[21,32,99,123,183,344,394],"stage":[24],"developing":[26,35],"an":[27,36,90,118],"Unmanned":[28],"Aerial":[29],"Vehicle":[30],"and":[31,66,88,131,192,204,217,282,314,348,426],"interested":[33],"algorithm":[37,91],"for":[38,92,146,387,467],"video":[39,93,115],"tracking":[40,70,96,411],"arbitrary":[42,58,412],"ground":[43],"objects.":[44,413],"The":[45,180,209,293,303],"key":[46],"requirements":[47,75],"imposed":[48],"on":[49,243],"tracker":[51,186,242,253,343,406,420],"are:":[52],"(1)":[53],"being":[54],"able":[55,367],"to":[56,159,175,214,219,228,287,356,368,444,462,483],"track":[57,61,433],"targets,":[59],"(2)":[60],"accurately":[62],"through":[63],"challenging":[64,249],"conditions":[65],"(3)":[67],"performing":[68],"real-time.":[72],"With":[73,338],"these":[74],"mind,":[77],"researched":[80],"what":[81,484],"has":[82,485],"been":[83,212,487],"done":[84],"proposed":[89],"tracking.":[94],"Video":[95,121],"general":[98],"process":[101],"estimating,":[103],"over":[104,372,456],"time,":[105,373],"location":[107,164],"one":[109],"or":[110,312],"multiple":[111],"objects":[112,425,472],"a":[114,137,184,223,244,284,316,332,385,396,465,480],"captured":[116],"by":[117],"analogue":[119],"camera.":[120],"Tracking":[122],"often":[124],"divided":[125],"into":[126,464],"Target":[127,129,132],"Representation,":[128],"Detection":[130],"Tracking.":[133],"First":[134],"you":[135,143,155],"create":[136],"model":[138],"target.":[141],"Then":[142],"implement":[144,176],"techniques":[145,158],"detecting":[147],"object":[149],"using":[150,473],"target":[152,163,198],"model.":[153,292],"Lastly,":[154],"use":[156],"dierent":[157],"predict":[160],"new":[162,334,340],"given":[165],"current":[167],"location.":[168],"After":[169],"comparing":[170],"some":[171,256,357],"trackers":[172],"chose":[174],"Particle":[178,181],"Filter.":[179],"Filter":[182],"robust":[185,216,347,430],"which":[187,399,476],"can":[188,306,349,400],"handle":[189,255,350],"partial":[190],"occlusion":[191],"non-Gaussian":[193],"distributions.":[194],"To":[195,274],"represent":[196],"used":[200],"Haar-like":[201],"rectangular":[202],"features":[203,210],"Edge":[205],"Orientation":[206],"Histograms":[207],"features.":[208,337],"shown":[213,227],"be":[215,401],"simple":[218],"calculate.":[220],"Moreover,":[221],"combination":[224],"they":[225],"serve":[229],"well":[230],"as":[231,309,429,479],"each":[232,236],"other":[233],"complements,":[234],"addressing":[235],"others":[237],"shortcomings.":[238],"We":[239,390,414,458],"tested":[240],"our":[241,280,290,342,361,452],"set":[245,335],"videos":[247],"with":[248,271,325,423],"scenarios.":[250],"Although":[251],"could":[254,477],"scenarios":[257,352],"if":[258],"parameters":[260],"were":[261,365],"tuned":[262],"correctly,":[263],"it":[264,322],"did":[265,415],"not":[266,366,428],"perform":[267],"satisfactory":[268,409],"when":[269],"dealing":[270],"appearance":[272,370,381],"changes.":[273],"address":[275],"issue":[277],"extended":[279],"approach":[281,341],"implemented":[283],"strong":[285,294,304],"classifier":[286,295,305,327],"help":[288],"aid":[289],"observation":[291],"consists":[296],"several":[298],"trained":[299],"weak":[300,453],"classi":[301,454],"ers.":[302],"classify":[307],"estimates":[308],"either":[310],"foreground":[311],"background":[313],"output":[315],"value":[317],"how":[319],"con":[320],"dent":[321],"is.":[323],"Along":[324],"also":[329,460],"de":[330],"ned":[331],"completely":[333],"significantly":[345],"more":[346],"all":[351],"well.":[353],"However,":[354],"due":[355],"minor":[358],"error":[359,398,447],"adaptive":[362],"procedure":[363],"learn":[369],"changes":[371,382],"only":[374],"initial":[376],"appearance.":[377],"Therefore,":[378],"any":[379],"larger":[380],"still":[383,407],"remain":[384],"challenge":[386],"tracker.":[389],"do":[391],"believe":[392],"this":[393],"just":[395],"coding":[397],"easily":[402],"fixed.":[403],"Nevertheless,":[404],"performs":[408],"however":[416],"find":[417],"that":[418,436],"had":[421],"difficulties":[422],"small":[424,470],"was":[427],"maintaining":[432],"lock":[434],"case.":[437],"For":[438],"future":[439],"work":[440],"would":[442,459],"like":[443,461],"investigate":[445],"preventing":[448],"us":[449],"from":[450],"adapting":[451],"ers":[455],"time.":[457],"look":[463],"technique":[466],"locating":[468],"extremely":[469],"moving":[471],"Background":[474],"Subtraction":[475],"act":[478],"good":[481],"complement":[482],"already":[486],"done.":[488]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-09-04T10:56:28.161419","created_date":"2016-06-24T00:00:00"}
