{"id":"https://openalex.org/W1908451628","doi":"https://doi.org/10.1109/cvpr.2015.7299193","title":"On pairwise costs for network flow multi-object tracking","display_name":"On pairwise costs for network flow multi-object tracking","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1908451628","doi":"https://doi.org/10.1109/cvpr.2015.7299193","mag":"1908451628"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5110608528","display_name":"Visesh Chari","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Visesh Chari","raw_affiliation_strings":["WILLOW project-team, ENS/INRIAICNRS UMR, Paris, France","Inria and \u00c9cole Normale Sup\u00e9rieure,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WILLOW project-team, ENS/INRIAICNRS UMR, Paris, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Inria and \u00c9cole Normale Sup\u00e9rieure,Paris,France","institution_ids":["https://openalex.org/I29607241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051076050","display_name":"Simon Lacoste-Julien","orcid":"https://orcid.org/0000-0001-6485-6180"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Simon Lacoste-Julien","raw_affiliation_strings":["SIERRA project-team, ENS/INRIAICNRS UMR, Paris, France","Inria and \u00c9cole Normale Sup\u00e9rieure,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIERRA project-team, ENS/INRIAICNRS UMR, Paris, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Inria and \u00c9cole Normale Sup\u00e9rieure,Paris,France","institution_ids":["https://openalex.org/I29607241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087781064","display_name":"Ivan Laptev","orcid":"https://orcid.org/0000-0001-7072-3325"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ivan Laptev","raw_affiliation_strings":["WILLOW project-team, ENS/INRIAICNRS UMR, Paris, France","Inria and \u00c9cole Normale Sup\u00e9rieure,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WILLOW project-team, ENS/INRIAICNRS UMR, Paris, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Inria and \u00c9cole Normale Sup\u00e9rieure,Paris,France","institution_ids":["https://openalex.org/I29607241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025398783","display_name":"Josef \u0160ivic","orcid":"https://orcid.org/0000-0002-2554-5301"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Josef Sivic","raw_affiliation_strings":["WILLOW project-team, ENS/INRIAICNRS UMR, Paris, France","Inria and \u00c9cole Normale Sup\u00e9rieure,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WILLOW project-team, ENS/INRIAICNRS UMR, Paris, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Inria and \u00c9cole Normale Sup\u00e9rieure,Paris,France","institution_ids":["https://openalex.org/I29607241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":126,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5537","last_page":"5545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9854000210762024,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7214544415473938},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.654573917388916},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5022468566894531},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46760785579681396},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.46600231528282166},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4101959466934204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36098212003707886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12239295244216919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214544415473938},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.654573917388916},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5022468566894531},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46760785579681396},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.46600231528282166},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4101959466934204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36098212003707886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12239295244216919},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7299193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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":36,"referenced_works":["https://openalex.org/W905619","https://openalex.org/W95926497","https://openalex.org/W100367037","https://openalex.org/W1762430620","https://openalex.org/W1966136723","https://openalex.org/W1977545325","https://openalex.org/W1995903777","https://openalex.org/W2013603106","https://openalex.org/W2016135469","https://openalex.org/W2031489346","https://openalex.org/W2035153336","https://openalex.org/W2061773916","https://openalex.org/W2083049794","https://openalex.org/W2107733398","https://openalex.org/W2111644456","https://openalex.org/W2120340025","https://openalex.org/W2122088301","https://openalex.org/W2122244345","https://openalex.org/W2124541566","https://openalex.org/W2125105611","https://openalex.org/W2127084114","https://openalex.org/W2130258433","https://openalex.org/W2134905085","https://openalex.org/W2138302688","https://openalex.org/W2147221461","https://openalex.org/W2171243491","https://openalex.org/W2532516272","https://openalex.org/W2610857016","https://openalex.org/W4250735956","https://openalex.org/W4293052541","https://openalex.org/W6600043445","https://openalex.org/W6603954746","https://openalex.org/W6604004975","https://openalex.org/W6659566489","https://openalex.org/W6675864661","https://openalex.org/W6677999991"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844"],"abstract_inverted_index":{"Multi-object":[0],"tracking":[1,124],"has":[2],"been":[3],"recently":[4],"approached":[5],"with":[6,69,99],"the":[7,38,65,79],"min-cost":[8,80],"network":[9,31,81],"flow":[10,32,82],"optimization":[11],"techniques.":[12],"Such":[13],"methods":[14,33,125],"simultaneously":[15],"resolve":[16],"multiple":[17],"object":[18,42,52],"tracks":[19],"in":[20,64,126],"a":[21,89,95],"video":[22,128],"and":[23,62,119],"enable":[24],"modeling":[25],"of":[26,50,108,116],"dependencies":[27],"among":[28],"tracks.":[29],"Min-cost":[30],"also":[34],"fit":[35],"well":[36],"within":[37],"\u201ctracking-by-detection\u201d":[39],"paradigm":[40],"where":[41],"trajectories":[43],"are":[44],"obtained":[45],"by":[46],"connecting":[47],"per-frame":[48],"outputs":[49],"an":[51,100],"detector.":[53],"Object":[54],"detectors,":[55],"however,":[56],"often":[57],"fail":[58],"due":[59],"to":[60,74,78,87],"occlusions":[61],"clutter":[63],"video.":[66],"To":[67],"cope":[68],"such":[70,88],"situations,":[71],"we":[72,93],"propose":[73],"add":[75],"pairwise":[76,117],"costs":[77,118],"framework.":[83],"While":[84],"integer":[85],"solutions":[86],"problem":[90],"become":[91],"NP-hard,":[92],"design":[94],"convex":[96],"relaxation":[97],"solution":[98],"efficient":[101],"rounding":[102],"heuristic":[103],"which":[104],"empirically":[105],"gives":[106],"certificates":[107],"small":[109],"suboptimality.":[110],"We":[111],"evaluate":[112],"two":[113],"particular":[114],"types":[115],"demonstrate":[120],"improvements":[121],"over":[122],"recent":[123],"real-world":[127],"sequences.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
