{"id":"https://openalex.org/W2136514602","doi":"https://doi.org/10.1109/icassp.2011.5946623","title":"Multiple instance tracking based on hierarchical maximizing bag's margin boosting","display_name":"Multiple instance tracking based on hierarchical maximizing bag's margin boosting","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2136514602","doi":"https://doi.org/10.1109/icassp.2011.5946623","mag":"2136514602"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5100386372","display_name":"Chunxiao Liu","orcid":"https://orcid.org/0000-0002-3307-9558"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxiao Liu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045183950","display_name":"Guijin Wang","orcid":"https://orcid.org/0000-0002-2131-3044"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guijin Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100298134","display_name":"Xinggang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinggang Lin","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077572659","display_name":"Bobo Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bobo Zeng","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17207471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"1193","last_page":"1196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996999979019165,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996999979019165,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9886999726295471,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9825999736785889,"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/boosting","display_name":"Boosting (machine learning)","score":0.8570038676261902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7104346752166748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6811060905456543},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6706013083457947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5646018981933594},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5530027151107788},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5463798642158508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4605258107185364},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45255011320114136},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34994396567344666},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11764854192733765}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8570038676261902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7104346752166748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811060905456543},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6706013083457947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5646018981933594},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5530027151107788},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5463798642158508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4605258107185364},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45255011320114136},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34994396567344666},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11764854192733765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2011.5946623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.983.4624","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.983.4624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202011/pdfs/0001193.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":14,"referenced_works":["https://openalex.org/W2000326692","https://openalex.org/W2024046085","https://openalex.org/W2033421762","https://openalex.org/W2136595724","https://openalex.org/W2146530891","https://openalex.org/W2150000644","https://openalex.org/W2154318594","https://openalex.org/W2163532725","https://openalex.org/W2166010828","https://openalex.org/W2167089254","https://openalex.org/W4231340930","https://openalex.org/W6680240620","https://openalex.org/W6683033130","https://openalex.org/W6684274140"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W2963610131","https://openalex.org/W2971551846"],"abstract_inverted_index":{"In":[0],"online":[1],"tracking,":[2],"the":[3,29,33,64,73,115,124],"tracker":[4,30],"evolves":[5],"to":[6,41,63,67,106],"reflect":[7],"variations":[8],"in":[9,50,98],"object":[10],"appearance":[11],"and":[12,101],"surroundings.":[13],"This":[14,77],"updating":[15],"process":[16],"is":[17,39,94],"formulated":[18],"as":[19],"a":[20,25,44,69,80,91],"supervised":[21],"learning":[22,65],"problem,":[23],"thus":[24],"slight":[26],"inaccuracy":[27],"of":[28,52,126],"will":[31],"degrade":[32],"updating.":[34],"Multiple":[35],"Instance":[36],"Learning":[37],"(MIL)":[38],"used":[40],"alleviate":[42],"such":[43],"problem":[45],"by":[46],"representing":[47],"training":[48],"samples":[49],"bags":[51],"image":[53],"patches":[54],"(or":[55],"called":[56],"instances).":[57],"Difficulties":[58],"are":[59,104],"then":[60],"passed":[61],"on":[62],"method":[66],"train":[68],"classifier":[70,108],"that":[71],"discovers":[72],"most":[74],"accurate":[75],"instance.":[76],"paper":[78],"proposes":[79],"Maximizing":[81],"Bag's":[82],"Margin":[83],"(MBM)":[84],"criteria":[85],"for":[86,96],"MIL.":[87],"Combined":[88],"with":[89,118],"MBM,":[90],"hierarchical":[92],"boosting":[93],"proposed":[95],"updating,":[97],"which":[99],"bag":[100],"instance":[102],"weights":[103],"introduced":[105],"guide":[107],"retrain":[109],"ing.":[110],"Our":[111],"approach":[112],"effectively":[113],"improves":[114],"updating's":[116],"efficiency":[117],"less":[119],"computation":[120],"cost.":[121],"Experiments":[122],"demonstrate":[123],"benefits":[125],"our":[127],"method.":[128]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
