{"id":"https://openalex.org/W2171193535","doi":"https://doi.org/10.1109/cdc.2007.4434324","title":"A rank minimization approach to fast dynamic event detection and track matching in video sequences","display_name":"A rank minimization approach to fast dynamic event detection and track matching in video sequences","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2171193535","doi":"https://doi.org/10.1109/cdc.2007.4434324","mag":"2171193535"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2007.4434324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4434324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 46th IEEE Conference on Decision and Control","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/A5102847484","display_name":"Tao Ding","orcid":"https://orcid.org/0000-0001-8275-9907"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Ding","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074266892","display_name":"Mario Sznaier","orcid":"https://orcid.org/0000-0003-4439-3988"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mario Sznaier","raw_affiliation_strings":["Electrical and Comp. Engineering Department, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Comp. Engineering Department, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047038311","display_name":"Octavia Camps","orcid":"https://orcid.org/0000-0003-1945-9172"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Octavia Camps","raw_affiliation_strings":["Electrical and Comp. Engineering Department, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Comp. Engineering Department, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4122","last_page":"4127"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/image-stitching","display_name":"Image stitching","score":0.8213008642196655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7558450698852539},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6008948087692261},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.57233065366745},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5032112002372742},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4941292107105255},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4714276194572449},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.470750629901886},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.45213383436203003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3827930688858032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15527665615081787}],"concepts":[{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.8213008642196655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558450698852539},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6008948087692261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.57233065366745},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5032112002372742},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4941292107105255},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4714276194572449},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.470750629901886},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.45213383436203003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3827930688858032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15527665615081787},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2007.4434324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4434324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 46th IEEE Conference on Decision and Control","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.168.5171","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.168.5171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://robustsystems.ece.neu.edu/maryam/04434324.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1550510068","https://openalex.org/W1916337001","https://openalex.org/W2097350683","https://openalex.org/W2103824663","https://openalex.org/W2103876808","https://openalex.org/W2124734643","https://openalex.org/W2129560725","https://openalex.org/W2130103520","https://openalex.org/W2130576091","https://openalex.org/W2137043637","https://openalex.org/W2138280907","https://openalex.org/W2140235142","https://openalex.org/W2141720053","https://openalex.org/W2159669057","https://openalex.org/W2161374719","https://openalex.org/W2161406034","https://openalex.org/W2165428291","https://openalex.org/W2166061994","https://openalex.org/W2753461371","https://openalex.org/W6678646469","https://openalex.org/W6679388247"],"related_works":["https://openalex.org/W68020613","https://openalex.org/W1973382465","https://openalex.org/W2091466534","https://openalex.org/W4255291540","https://openalex.org/W3134240150","https://openalex.org/W4387591196","https://openalex.org/W4392793652","https://openalex.org/W4399199700","https://openalex.org/W172825421","https://openalex.org/W2944699522"],"abstract_inverted_index":{"This":[0],"paper":[1,61],"addresses":[2],"the":[3,47,60,81,89,98,101,106,118,123,127,130,138,146,165,191],"problems":[4],"of":[5,15,21,50,59,100,125,129,140,161],"track":[6,38],"stitching":[7],"and":[8,42,202],"dynamic":[9],"event":[10],"detection":[11],"in":[12,73,88,111,190],"a":[13,63,74,78,141,151,159,199],"sequence":[14,160],"frames.":[16],"The":[17,32,56],"input":[18],"data":[19],"consists":[20],"tracks,":[22],"possibly":[23],"fragmented":[24,168],"due":[25],"to":[26,29,35,85,97,104,115,136,150,171,182,198],"occlusion,":[27,41],"belonging":[28],"multiple":[30,172],"targets.":[31],"goals":[33,72],"are":[34],"(i)":[36],"establish":[37],"identity":[39],"across":[40],"(ii)":[43],"detect":[44,86],"points":[45,116],"where":[46,117],"motion":[48],"modalities":[49],"these":[51,71],"targets":[52,173],"undergo":[53],"substantial":[54],"changes.":[55],"main":[57,82],"result":[58],"is":[62,84],"simple,":[64],"computationally":[65,154],"inexpensive":[66],"approach":[67],"that":[68,158],"allows":[69],"achieving":[70],"unified":[75],"way.":[76],"Given":[77],"continuous":[79],"track,":[80],"idea":[83],"changes":[87,110],"dynamics":[90,119],"by":[91,177],"parsing":[92],"it":[93],"into":[94],"segments":[95],"according":[96],"complexity":[99,113,128,184],"model":[102,132],"required":[103],"explain":[105],"observed":[107,147],"data.":[108],"Intuitively,":[109],"this":[112,193],"correspond":[114],"change.":[120],"In":[121],"turn,":[122],"problem":[124,194],"estimating":[126,137],"underlying":[131],"can":[133,174,195],"be":[134,175,196],"reduced":[135,197],"rank":[139],"Hankel":[142],"matrix":[143],"constructed":[144],"from":[145],"data,":[148],"leading":[149],"simple":[152],"algorithm,":[153],"no":[155],"more":[156],"expensive":[157],"SVDs.":[162],"Proceeding":[163],"along":[164],"same":[166],"lines,":[167],"tracks":[169],"corresponding":[170,181],"linked":[176],"searching":[178],"for":[179],"sets":[180],"minimal":[183],"joint":[185],"models.":[186],"As":[187],"we":[188],"show":[189],"paper,":[192],"semi-definite":[200],"optimization":[201],"efficiently":[203],"solved.":[204]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
