{"id":"https://openalex.org/W167289139","doi":null,"title":"Motion segmentation from clustering of sparse point features using spatially constrained mixture models","display_name":"Motion segmentation from clustering of sparse point features using spatially constrained mixture models","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W167289139","mag":"167289139"},"language":"en","primary_location":{"id":"pmh:oai:open.clemson.edu:all_dissertations-1417","doi":null,"is_oa":false,"landing_page_url":"https://open.clemson.edu/all_dissertations/417","pdf_url":null,"source":{"id":"https://openalex.org/S4377196397","display_name":"TigerPrints (Clemson University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8078737","host_organization_name":"Clemson University","host_organization_lineage":["https://openalex.org/I8078737"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"All Dissertations","raw_type":"text"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5109877540","display_name":"Stanley T. Birchfield","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stanley T. Birchfield","raw_affiliation_strings":["Clemson University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clemson University","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009892560","display_name":"Shrinivas J. Pundlik","orcid":"https://orcid.org/0000-0001-8766-7112","observed_orcids":["https://orcid.org/0000-0001-8766-7112"]},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shrinivas Pundlik","raw_affiliation_strings":["Clemson University"],"raw_orcid":"https://orcid.org/0000-0001-8766-7112","affiliations":[{"raw_affiliation_string":"Clemson University","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"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":0.9878000020980835,"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":0.9878000020980835,"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":0.0044999998062849045,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.002199999988079071,"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/motion-segmentation","display_name":"motion segmentation","score":0.9860000014305115},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"feature tracking","score":0.7239999771118164},{"id":"https://openalex.org/keywords/lucas-kanade","display_name":"Lucas-Kanade","score":0.8889999985694885},{"id":"https://openalex.org/keywords/incremental-clustering","display_name":"incremental clustering","score":0.5370000004768372},{"id":"https://openalex.org/keywords/multiple-moving-objects","display_name":"multiple moving objects","score":0.703000009059906},{"id":"https://openalex.org/keywords/occlusion","display_name":"occlusion","score":0.8119999766349792},{"id":"https://openalex.org/keywords/motion-blur","display_name":"motion blur","score":0.9350000023841858},{"id":"https://openalex.org/keywords/human-pose-estimation","display_name":"human pose estimation","score":0.8140000104904175},{"id":"https://openalex.org/keywords/motion-descriptors","display_name":"motion descriptors","score":0.7860000133514404},{"id":"https://openalex.org/keywords/human-walking","display_name":"human walking","score":0.7269999980926514},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"nearest neighbor search","score":0.7239999771118164},{"id":"https://openalex.org/keywords/real-time-video-processing","display_name":"real-time video processing","score":0.5270000100135803},{"id":"https://openalex.org/keywords/object-tracking","display_name":"object tracking","score":0.3070000112056732},{"id":"https://openalex.org/keywords/video-compression","display_name":"video compression","score":0.3140000104904175}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8330159783363342},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7565383315086365},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.677238941192627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6583218574523926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6012348532676697},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43811365962028503},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4361411929130554},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4279840588569641},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.42217448353767395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4174574911594391},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4166336953639984},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:open.clemson.edu:all_dissertations-1417","doi":null,"is_oa":false,"landing_page_url":"https://open.clemson.edu/all_dissertations/417","pdf_url":null,"source":{"id":"https://openalex.org/S4377196397","display_name":"TigerPrints (Clemson University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8078737","host_organization_name":"Clemson University","host_organization_lineage":["https://openalex.org/I8078737"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"All Dissertations","raw_type":"text"},{"id":"pmh:oai:tigerprints.clemson.edu:all_dissertations-1417","doi":null,"is_oa":false,"landing_page_url":"https://tigerprints.clemson.edu/cgi/viewcontent.cgi?article=1417&context=all_dissertations","pdf_url":null,"source":{"id":"https://openalex.org/S4377196397","display_name":"TigerPrints (Clemson University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8078737","host_organization_name":"Clemson University","host_organization_lineage":["https://openalex.org/I8078737"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"All Dissertations","raw_type":"text"},{"id":"mag:167289139","doi":null,"is_oa":false,"landing_page_url":"https://tigerprints.clemson.edu/all_dissertations/417/","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":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W1508960934","https://openalex.org/W1516512487","https://openalex.org/W1541038318","https://openalex.org/W1560140077","https://openalex.org/W1570876803","https://openalex.org/W1579271636","https://openalex.org/W1597210564","https://openalex.org/W1608462934","https://openalex.org/W1771541921","https://openalex.org/W1950520880","https://openalex.org/W1950703464","https://openalex.org/W1966904454","https://openalex.org/W1969531469","https://openalex.org/W1978597204","https://openalex.org/W1987118352","https://openalex.org/W1992825118","https://openalex.org/W1997434187","https://openalex.org/W1999052676","https://openalex.org/W2010942916","https://openalex.org/W2033819227","https://openalex.org/W2035379092","https://openalex.org/W2049633694","https://openalex.org/W2049819452","https://openalex.org/W2056860348","https://openalex.org/W2063179889","https://openalex.org/W2082869876","https://openalex.org/W2097905551","https://openalex.org/W2099634219","https://openalex.org/W2102796633","https://openalex.org/W2104094303","https://openalex.org/W2107320053","https://openalex.org/W2107391920","https://openalex.org/W2111733996","https://openalex.org/W2111794548","https://openalex.org/W2113137767","https://openalex.org/W2114153925","https://openalex.org/W2114701396","https://openalex.org/W2115296699","https://openalex.org/W2116502739","https://openalex.org/W2117834610","https://openalex.org/W2118028373","https://openalex.org/W2118836531","https://openalex.org/W2118877769","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2124514145","https://openalex.org/W2125480112","https://openalex.org/W2125824324","https://openalex.org/W2129412583","https://openalex.org/W2130103520","https://openalex.org/W2130402300","https://openalex.org/W2130657708","https://openalex.org/W2132501666","https://openalex.org/W2135232519","https://openalex.org/W2135705692","https://openalex.org/W2136550140","https://openalex.org/W2136606146","https://openalex.org/W2137223622","https://openalex.org/W2140427427","https://openalex.org/W2141218264","https://openalex.org/W2141720053","https://openalex.org/W2142912032","https://openalex.org/W2143023146","https://openalex.org/W2143033699","https://openalex.org/W2143516773","https://openalex.org/W2144201100","https://openalex.org/W2145038268","https://openalex.org/W2146484478","https://openalex.org/W2147689624","https://openalex.org/W2151158914","https://openalex.org/W2152057784","https://openalex.org/W2152246431","https://openalex.org/W2153383835","https://openalex.org/W2154504070","https://openalex.org/W2156594793","https://openalex.org/W2157145630","https://openalex.org/W2158578792","https://openalex.org/W2163449381","https://openalex.org/W2165400892","https://openalex.org/W2165715280","https://openalex.org/W2166623283","https://openalex.org/W2166732304","https://openalex.org/W2167075312","https://openalex.org/W2183998037","https://openalex.org/W2293430386","https://openalex.org/W2294052718","https://openalex.org/W2520166144","https://openalex.org/W2533739470","https://openalex.org/W2542468035","https://openalex.org/W2751023760"],"related_works":["https://openalex.org/W2150414161","https://openalex.org/W2151155403","https://openalex.org/W18558538","https://openalex.org/W2006868018","https://openalex.org/W7100884389","https://openalex.org/W7100665078","https://openalex.org/W2486413034","https://openalex.org/W2523792911","https://openalex.org/W2406418791","https://openalex.org/W2949955785"],"abstract_inverted_index":{"Motion":[0],"is":[1,132,171,208,243,283,328,370,397,402,472,477,522,545,554,562,575,598,634,649,671,677],"one":[2,149],"of":[3,48,61,70,107,123,148,168,176,253,271,274,286,308,353,360,394,407,410,421,428,464,501,512,542,550,571,594,608,622,690],"the":[4,49,54,58,62,77,90,95,108,119,152,165,174,177,192,241,265,272,281,284,293,302,305,318,358,405,418,422,429,454,459,465,510,513,517,532,548,569,572,582,591,595,609,617,620,623,653,681,688,691],"strongest":[5],"cues":[6,535],"available":[7],"for":[8,249,267,363,388,453,559],"segmentation.":[9,365,552,684],"While":[10],"motion":[11,41,111,167,175,211,306,348,364,369,415,423,456,519],"segmentation":[12,112,212,544,570,614,692],"finds":[13],"wide":[14],"ranging":[15],"applications":[16],"in":[17,127,163,202,245,304,313,324,469,527,547,694],"object":[18],"detection,":[19],"tracking,":[20,390],"surveillance,":[21],"robotics,":[22],"image":[23,56,87,128,543,633,665],"and":[24,31,76,121,156,227,247,327,338,347,391,431,436,445,474,488,507,561,619,641,664,676],"video":[25,29],"compression,":[26],"scene":[27,63],"reconstruction,":[28],"editing,":[30],"so":[32],"on,":[33],"it":[34],"faces":[35],"various":[36,332,426,443,499],"challenges":[37],"such":[38],"as":[39,94,372,439,441,636,656,673],"accurate":[40,567],"recovery":[42],"from":[43,154,336,458,629],"noisy":[44],"data,":[45],"varying":[46],"complexity":[47],"models":[50,362],"required":[51],"to":[52,79,186,210,232,238,260,315,330,381,479,490,524,564,605,625,651,679],"describe":[53],"computed":[55],"motion,":[57],"dynamic":[59],"nature":[60,246],"that":[64,104,288,341,376],"may":[65],"include":[66],"a":[67,161,169,221,228,309,373,378,408,449,480,555,637,642],"large":[68],"number":[69,252,273,409],"independently":[71,147,344],"moving":[72,339,345],"objects":[73,254,346],"undergoing":[74],"occlusions,":[75],"need":[78,266],"make":[80],"high-level":[81],"decisions":[82],"while":[83,199],"dealing":[84],"with":[85,118,357,504],"long":[86],"sequences.":[88,129],"Keeping":[89],"sparse":[91,124,142,214,411],"point":[92,125,135,215,234],"features":[93,126,136,143,201,294],"pivotal":[96],"point,":[97],"this":[98,158,354,475],"thesis":[99,159,355],"presents":[100,160],"three":[101],"distinct":[102],"approaches":[103],"address":[105],"some":[106],"above":[109],"mentioned":[110],"challenges.":[113],"The":[114,180,205,218,276,321,350,366,399,611,632,668,685],"first":[115],"part":[116,207,352],"deals":[117,356],"detection":[120],"tracking":[122,183,189,196,200],"A":[130,297,385,413],"framework":[131,226],"proposed":[133,612],"where":[134],"can":[137,432],"be":[138,261,290,382,565],"tracked":[139,146],"jointly.":[140],"Traditionally,":[141],"have":[144],"been":[145],"another.":[150],"Combining":[151],"ideas":[153],"Lucas-Kanade":[155,194],"Horn-Schunck,":[157],"technique":[162],"which":[164],"estimated":[166],"feature":[170,182,216],"influenced":[172],"by":[173,280,586,600],"neighboring":[178],"features.":[179,235],"joint":[181],"algorithm":[184,231,242,282,648,693],"leads":[185],"an":[187,250,268,540,674],"improved":[188],"performance":[190],"over":[191,311,485],"standard":[193],"based":[195,520,534,645,683],"approach,":[197],"especially":[198],"untextured":[203],"regions.":[204],"second":[206],"related":[209],"using":[213,404,662],"trajectories.":[217],"approach":[219,322,387,521,615],"utilizes":[220],"spatially":[222],"constrained":[223],"mixture":[224],"model":[225,380],"greedy":[229],"EM":[230],"group":[233,310],"In":[236,515],"contrast":[237],"previous":[239],"work,":[240],"incremental":[244],"allows":[248],"arbitrary":[251],"traveling":[255],"at":[256],"different":[257],"relative":[258],"speeds":[259],"segmented,":[262],"thus":[263],"eliminating":[264],"explicit":[269],"initialization":[270],"groups.":[275],"primary":[277],"parameter":[278],"used":[279,557,678],"amount":[285],"evidence":[287],"must":[289],"accumulated":[291],"before":[292],"are":[295,536],"grouped.":[296],"statistical":[298],"goodness-of-fit":[299],"test":[300],"monitors":[301],"change":[303],"parameters":[307],"time":[312,326],"order":[314],"automatically":[316],"update":[317],"reference":[319],"frame.":[320],"works":[323],"real":[325],"able":[329,523],"segment":[331,626],"challenging":[333],"sequences":[334,500],"captured":[335],"still":[337],"cameras":[340],"contain":[342],"multiple":[343,470,486,505],"blur.":[349],"third":[351],"use":[359],"specialized":[361],"articulated":[367,395,435],"human":[368,400,466],"chosen":[371],"representative":[374],"example":[375],"requires":[377],"complex":[379],"accurately":[383],"described.":[384],"motion-based":[386],"segmentation,":[389],"pose":[392,444,494],"estimation":[393],"bodies":[396],"presented.":[398],"body":[401],"represented":[403],"trajectories":[406],"points.":[412],"novel":[414],"descriptor":[416,457],"encodes":[417],"spatial":[419],"relationships":[420],"vectors":[424],"representing":[425],"parts":[427],"person":[430],"discriminate":[433],"between":[434,442],"non-articulated":[437],"motions,":[438],"well":[440],"view":[446],"angles.":[447],"Furthermore,":[448],"nearest":[450],"neighbor":[451],"search":[452],"closest":[455],"labeled":[460],"training":[461],"data":[462],"consisting":[463],"gait":[467],"cycle":[468],"views":[471],"performed,":[473],"distance":[476],"fed":[478],"Hidden":[481],"Markov":[482,638],"Model":[483],"defined":[484],"poses":[487],"viewpoints":[489,506],"obtain":[491],"temporally":[492],"consistent":[493],"estimates.":[495],"Experimental":[496],"results":[497,686],"on":[498],"walking":[502],"subjects":[503],"scale":[508],"demonstrate":[509],"effectiveness":[511,689],"approach.":[514],"particular,":[516],"purely":[518],"track":[525],"people":[526],"night-time":[528],"sequences,":[529],"even":[530],"when":[531,581],"appearance":[533,618],"not":[537],"available.":[538],"Finally,":[539],"application":[541],"presented":[546],"context":[549],"iris":[551,573,583,597,613,627,669,697],"Iris":[553],"widely":[556],"biometric":[558],"recognition":[560],"known":[563],"highly":[566],"if":[568],"region":[574],"near":[576],"perfect.":[577],"Non-ideal":[578],"situations":[579],"arise":[580],"undergoes":[584],"occlusion":[585],"eyelashes":[587],"or":[588,590,603,660],"eyelids,":[589],"overall":[592],"quality":[593],"segmented":[596],"affected":[599],"illumination":[601],"changes,":[602],"due":[604],"out-of-plane":[606],"rotation":[607],"eye.":[610],"combines":[616],"geometry":[621],"eye":[624],"regions":[628],"non-ideal":[630,696],"images.":[631,698],"modeled":[635,672],"random":[639],"field,":[640],"graph":[643],"cuts":[644],"energy":[646],"minimization":[647],"applied":[650],"label":[652],"pixels":[654],"either":[655],"eyelashes,":[657],"pupil,":[658],"iris,":[659],"background":[661],"texture":[663],"intensity":[666],"information.":[667],"shape":[670],"ellipse":[675],"refine":[680],"pixel":[682],"indicate":[687],"handling":[695]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}