{"id":"https://openalex.org/W2119628306","doi":"https://doi.org/10.1109/cvpr.2009.5206506","title":"Shape of Gaussians as feature descriptors","display_name":"Shape of Gaussians as feature descriptors","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2119628306","doi":"https://doi.org/10.1109/cvpr.2009.5206506","mag":"2119628306"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206506","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5102057433","display_name":"Liyu Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liyu Gong","raw_affiliation_strings":["Intelligent and Distributed Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China","Intell. & Distrib. Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Intelligent and Distributed Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Intell. & Distrib. Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056778408","display_name":"Tianjiang Wang","orcid":"https://orcid.org/0000-0002-8664-4143"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjiang Wang","raw_affiliation_strings":["Intelligent and Distributed Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China","Intell. & Distrib. Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Intelligent and Distributed Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Intell. & Distrib. Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602877","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-4385-1134"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Intelligent and Distributed Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China","Intell. & Distrib. Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Intelligent and Distributed Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Intell. & Distrib. Comput. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102057433"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.9882,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.80372149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2366","last_page":"2371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9937000274658203,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/covariance","display_name":"Covariance","score":0.723423957824707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7017017006874084},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6600634455680847},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6444141268730164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639988124370575},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6299184560775757},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.6063764095306396},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5836657285690308},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5688672661781311},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.4711248576641083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47029468417167664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4467945396900177},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4185439646244049},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4119691252708435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39389240741729736},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.15856319665908813},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14773711562156677},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13164693117141724}],"concepts":[{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.723423957824707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7017017006874084},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6600634455680847},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6444141268730164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639988124370575},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6299184560775757},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.6063764095306396},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5836657285690308},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5688672661781311},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.4711248576641083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47029468417167664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4467945396900177},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4185439646244049},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4119691252708435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39389240741729736},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.15856319665908813},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14773711562156677},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13164693117141724},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2009.5206506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206506","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1549083695","https://openalex.org/W1574818812","https://openalex.org/W2015148749","https://openalex.org/W2116022929","https://openalex.org/W2120344048","https://openalex.org/W2121193292","https://openalex.org/W2125907508","https://openalex.org/W2132103241","https://openalex.org/W2143668817","https://openalex.org/W2159556349","https://openalex.org/W2160788267","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2165797462","https://openalex.org/W6632640995","https://openalex.org/W6634504512","https://openalex.org/W6683900692"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W1494268238","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W1992295166","https://openalex.org/W2143508933"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,15,34,45,64,84,107,117],"feature":[4,17],"descriptor":[5,18,82],"called":[6,21],"Shape":[7,22],"of":[8,23,33,94],"Gaussian":[9,77],"(SOG),":[10],"which":[11],"is":[12,83,98],"based":[13],"on":[14,111],"general":[16],"design":[19],"framework":[20],"Signal":[24],"Probability":[25],"Density":[26],"Function":[27],"(SOSPDF).":[28],"SOSPDF":[29,58,62,71],"takes":[30],"the":[31,92],"shape":[32],"signal's":[35],"probability":[36],"density":[37],"function":[38],"(pdf)":[39],"as":[40,72],"its":[41],"feature.":[42],"Under":[43],"such":[44],"view,":[46],"both":[47],"histogram":[48],"and":[49,97,151],"region":[50,95,136],"covariance":[51,69,96],"often":[52],"used":[53],"in":[54,126],"computer":[55],"vision":[56],"are":[57,152],"features.":[59],"Histogram":[60],"describes":[61,70],"by":[63],"discrete":[65],"approximation":[66],"way.":[67],"Region":[68],"an":[73],"incomplete":[74],"parameterized":[75,86],"multivariate":[76],"distribution.":[78],"Our":[79],"proposed":[80],"SOG":[81,124,143],"full":[85],"Gaussian,":[87],"so":[88],"it":[89],"has":[90],"all":[91],"advantages":[93],"more":[99,148],"effective.":[100],"Furthermore,":[101],"we":[102,115],"identify":[103],"that":[104,142],"SOGs":[105],"form":[106],"Lie":[108,112],"group.":[109],"Based":[110],"group":[113],"theory,":[114],"propose":[116],"distance":[118],"metric":[119],"for":[120],"SOG.":[121],"We":[122],"test":[123],"features":[125,144],"tracking":[127,132],"problem.":[128],"Experiments":[129],"show":[130],"better":[131],"results":[133,140],"compared":[134],"with":[135],"covariance.":[137],"Moreover,":[138],"experiment":[139],"indicate":[141],"attempt":[145],"to":[146],"harvest":[147],"useful":[149],"information":[150],"less":[153],"sensitive":[154],"against":[155],"noise.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}