{"id":"https://openalex.org/W2104795665","doi":"https://doi.org/10.1109/lsp.2009.2030862","title":"Boosted Tracking in Video","display_name":"Boosted Tracking in Video","publication_year":2009,"publication_date":"2009-08-25","ids":{"openalex":"https://openalex.org/W2104795665","doi":"https://doi.org/10.1109/lsp.2009.2030862","mag":"2104795665"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2009.2030862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2009.2030862","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5063113865","display_name":"Giuseppe Boccignone","orcid":"https://orcid.org/0000-0002-5572-0924"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"G. Boccignone","raw_affiliation_strings":["Dipartimento di Scienze dellInformazione, Universit\u00e1 degli Studi di Milano, Milan, Italy","Dipt. di Sci. dellTnformazione, Univ. degli Studi di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze dellInformazione, Universit\u00e1 degli Studi di Milano, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]},{"raw_affiliation_string":"Dipt. di Sci. dellTnformazione, Univ. degli Studi di Milano, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041442022","display_name":"Paola Campadelli","orcid":"https://orcid.org/0000-0002-8219-4122"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"P. Campadelli","raw_affiliation_strings":["Dipartimento di Scienze dellInformazione, Universit\u00e1 degli Studi di Milano, Milan, Italy","Dipt. di Sci. dellTnformazione, Univ. degli Studi di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze dellInformazione, Universit\u00e1 degli Studi di Milano, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]},{"raw_affiliation_string":"Dipt. di Sci. dellTnformazione, Univ. degli Studi di Milano, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025252179","display_name":"Anna Ferrari","orcid":"https://orcid.org/0000-0001-5718-630X"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Ferrari","raw_affiliation_strings":["Dipartimento di Scienze dellInformazione, Universit\u00e1 degli Studi di Milano, Milan, Italy","Dipt. di Sci. dellTnformazione, Univ. degli Studi di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze dellInformazione, Universit\u00e1 degli Studi di Milano, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]},{"raw_affiliation_string":"Dipt. di Sci. dellTnformazione, Univ. degli Studi di Milano, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031026167","display_name":"Giuseppe Lipori","orcid":null},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Lipori","raw_affiliation_strings":["Dipartimento di Scienze dellInformazione, Universit\u00e1 degli Studi di Milano, Milan, Italy","Dipt. di Sci. dellTnformazione, Univ. degli Studi di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze dellInformazione, Universit\u00e1 degli Studi di Milano, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]},{"raw_affiliation_string":"Dipt. di Sci. dellTnformazione, Univ. degli Studi di Milano, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063113865"],"corresponding_institution_ids":["https://openalex.org/I189158943"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.13732643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"2","first_page":"129","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9962999820709229,"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/T10057","display_name":"Face and Expression Recognition","score":0.9882000088691711,"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/robustness","display_name":"Robustness (evolution)","score":0.8271366357803345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7206144332885742},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6547642946243286},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.63017737865448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6284748911857605},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5094838738441467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.442195862531662},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37996912002563477},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37638381123542786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3610954284667969},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08480042219161987}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8271366357803345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206144332885742},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6547642946243286},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.63017737865448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6284748911857605},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5094838738441467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.442195862531662},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37996912002563477},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37638381123542786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3610954284667969},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08480042219161987},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2009.2030862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2009.2030862","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1497719722","https://openalex.org/W1662558206","https://openalex.org/W1995903777","https://openalex.org/W2024046085","https://openalex.org/W2107985919","https://openalex.org/W2110744759","https://openalex.org/W2118143383","https://openalex.org/W2137401668","https://openalex.org/W2147953023","https://openalex.org/W2155511848","https://openalex.org/W2160367227","https://openalex.org/W2161406034","https://openalex.org/W3097096317","https://openalex.org/W6636987375"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W2060986072","https://openalex.org/W1566155057","https://openalex.org/W2052574922","https://openalex.org/W2065045110","https://openalex.org/W64588465","https://openalex.org/W3120641340","https://openalex.org/W2117825986","https://openalex.org/W3134067061"],"abstract_inverted_index":{"<para":[0],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[2],"We":[3],"discuss":[4],"how":[5],"a":[6,14,42],"probabilistic":[7],"interpretation":[8],"of":[9,16],"the":[10],"output":[11],"provided":[12],"by":[13,38],"cascade":[15],"boosted":[17],"classifiers":[18],"can":[19,35],"be":[20,36],"exploited":[21],"for":[22],"Bayesian":[23,43],"tracking":[24],"in":[25],"video":[26],"streams.":[27],"In":[28],"particular,":[29],"real-time":[30],"face":[31],"and":[32,58],"body":[33],"detection":[34],"achieved":[37],"relying":[39],"on":[40],"such":[41,48],"framework.":[44],"Results":[45],"show":[46],"that":[47],"integrated":[49],"approach":[50],"is":[51],"appealing":[52],"with":[53],"respect":[54],"both":[55],"to":[56],"robustness":[57],"computational":[59],"efficiency.":[60],"</para>":[61]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
