{"id":"https://openalex.org/W2159638594","doi":"https://doi.org/10.1109/iccv.2009.5459389","title":"Is a detector only good for detection?","display_name":"Is a detector only good for detection?","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2159638594","doi":"https://doi.org/10.1109/iccv.2009.5459389","mag":"2159638594"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","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/A5101601486","display_name":"Quan Yuan","orcid":"https://orcid.org/0000-0002-8057-7867"},"institutions":[{"id":"https://openalex.org/I2800278093","display_name":"Sony Corporation (United States)","ror":"https://ror.org/05k91zb11","country_code":"US","type":"company","lineage":["https://openalex.org/I2800278093"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Quan Yuan","raw_affiliation_strings":["Sony Electronics, Inc., San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Sony Electronics, Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I2800278093"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042663603","display_name":"Stan Sclaroff","orcid":"https://orcid.org/0000-0002-0711-4313"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stan Sclaroff","raw_affiliation_strings":["Computer Science Department, Boston University, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Boston University, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101601486"],"corresponding_institution_ids":["https://openalex.org/I2800278093"],"apc_list":null,"apc_paid":null,"fwci":0.9842,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80038155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1066","last_page":"1073"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.7338355779647827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7086276412010193},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6646314859390259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6435277462005615},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.6378731727600098},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6208055019378662},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.6045352816581726},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.5151985287666321},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4931182563304901},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4902849495410919},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4870446026325226},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.465082585811615},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44716039299964905},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4130183756351471},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18624445796012878}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338355779647827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7086276412010193},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6646314859390259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6435277462005615},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.6378731727600098},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6208055019378662},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.6045352816581726},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.5151985287666321},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4931182563304901},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4902849495410919},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4870446026325226},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.465082585811615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44716039299964905},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4130183756351471},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18624445796012878},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv.2009.5459389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.2980","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.2980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bu.edu/techreports/pdf/2009-023-what-detectors-are-good-for.pdf","raw_type":"text"},{"id":"pmh:oai:open.bu.edu:2144/1747","is_oa":false,"landing_page_url":"https://hdl.handle.net/2144/1747","pdf_url":null,"source":{"id":"https://openalex.org/S4306402183","display_name":"OpenBU/Boston University Institutional Repository (Boston University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I111088046","host_organization_name":"Boston University","host_organization_lineage":["https://openalex.org/I111088046"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Technical Report"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1553313034","https://openalex.org/W1555563476","https://openalex.org/W1576520375","https://openalex.org/W1735394485","https://openalex.org/W1975846642","https://openalex.org/W1992401314","https://openalex.org/W1992825118","https://openalex.org/W2001619934","https://openalex.org/W2082308025","https://openalex.org/W2099355420","https://openalex.org/W2100852738","https://openalex.org/W2104577112","https://openalex.org/W2104908641","https://openalex.org/W2110764733","https://openalex.org/W2110889574","https://openalex.org/W2114171253","https://openalex.org/W2118373237","https://openalex.org/W2120954940","https://openalex.org/W2122246689","https://openalex.org/W2123737232","https://openalex.org/W2126553322","https://openalex.org/W2128066807","https://openalex.org/W2137659841","https://openalex.org/W2138451337","https://openalex.org/W2144409879","https://openalex.org/W2147717514","https://openalex.org/W2152926413","https://openalex.org/W2156175024","https://openalex.org/W2157239837","https://openalex.org/W2158268505","https://openalex.org/W2161969291","https://openalex.org/W2163176424","https://openalex.org/W2167008080","https://openalex.org/W2171188998","https://openalex.org/W3097096317","https://openalex.org/W3214102110","https://openalex.org/W4238359040","https://openalex.org/W6633174061","https://openalex.org/W6633210108","https://openalex.org/W6634442568","https://openalex.org/W6674902714","https://openalex.org/W6676875803","https://openalex.org/W6678557583","https://openalex.org/W6683380652"],"related_works":["https://openalex.org/W2181570714","https://openalex.org/W3033332270","https://openalex.org/W2901758161","https://openalex.org/W3204852000","https://openalex.org/W2336272890","https://openalex.org/W3211418293","https://openalex.org/W325114128","https://openalex.org/W3183843611","https://openalex.org/W4308999381","https://openalex.org/W4308999963"],"abstract_inverted_index":{"A":[0],"common":[1],"design":[2],"of":[3,30,82,97],"an":[4],"object":[5],"recognition":[6,36,118],"system":[7],"has":[8,155],"two":[9],"steps,":[10],"a":[11,16,27,68,75,87,94,132,144],"detection":[12,25,45,52,127,138],"step":[13,53],"followed":[14,32,46],"by":[15,26,33,47],"foreground":[17,59,99],"within-class":[18,60],"classification":[19,61],"step.":[20],"For":[21],"example,":[22],"consider":[23],"face":[24,34,117],"boosted":[28,88],"cascade":[29],"detectors":[31],"ID":[35],"via":[37,103],"one-vs-all":[38],"(OVA)":[39],"classifiers.":[40],"Another":[41],"example":[42],"is":[43,112,159],"human":[44],"pose":[48],"recognition.":[49],"Although":[50],"the":[51,58,79,83,120,166],"can":[54,63],"be":[55,64],"quite":[56],"fast,":[57],"process":[62],"slow":[65],"and":[66,128,136,139,158],"becomes":[67],"bottleneck.":[69],"In":[70],"this":[71],"work,":[72],"we":[73],"formulate":[74],"filter-and-refine":[76],"scheme,":[77],"where":[78],"binary":[80],"outputs":[81],"weak":[84],"classifiers":[85],"in":[86,114],"detector":[89],"are":[90],"used":[91],"to":[92],"identify":[93],"small":[95],"number":[96],"candidate":[98],"state":[100],"hypotheses":[101],"quickly":[102],"Hamming":[104,108],"distance":[105],"or":[106],"weighted":[107],"distance.":[109],"The":[110],"approach":[111,154],"evaluated":[113],"three":[115],"applications:":[116],"on":[119,131,143],"FRGC":[121],"V2":[122],"data":[123,134,147,151],"set,":[124],"hand":[125,133],"shape":[126],"parameter":[129],"estimation":[130,142],"set":[135],"vehicle":[137,146],"view":[140],"angle":[141],"multi-view":[145],"set.":[148],"On":[149],"all":[150],"sets,":[152],"our":[153],"comparable":[156],"accuracy":[157],"at":[160],"least":[161],"five":[162],"times":[163],"faster":[164],"than":[165],"brute":[167],"force":[168],"approach.":[169]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}