{"id":"https://openalex.org/W1787710096","doi":null,"title":"Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection","display_name":"Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W1787710096","mag":"1787710096"},"language":"en","primary_location":{"id":"mag:3146736267","doi":null,"is_oa":false,"landing_page_url":"http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006290574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Information Fusion","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5065503067","display_name":"Marco San Biagio","orcid":"https://orcid.org/0000-0002-6155-3878","observed_orcids":["https://orcid.org/0000-0002-6155-3878","https://orcid.org/0000-0001-6537-2049"]},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco San Biagio","raw_affiliation_strings":["Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6155-3878","affiliations":[{"raw_affiliation_string":"Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108373386","display_name":"Marco Crocco","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Crocco","raw_affiliation_strings":["Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033671063","display_name":"Marco Cristani","orcid":"https://orcid.org/0000-0002-0523-6042","observed_orcids":["https://orcid.org/0000-0002-0523-6042"]},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Cristani","raw_affiliation_strings":["Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0523-6042","affiliations":[{"raw_affiliation_string":"Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029018070","display_name":"Samuele Martelli","orcid":"https://orcid.org/0000-0002-2193-2419","observed_orcids":["https://orcid.org/0000-0002-2193-2419"]},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Samuele Martelli","raw_affiliation_strings":["Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"raw_orcid":"https://orcid.org/0000-0002-2193-2419","affiliations":[{"raw_affiliation_string":"Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007242502","display_name":"Vittorio Murino","orcid":"https://orcid.org/0000-0002-8645-2328","observed_orcids":["https://orcid.org/0000-0002-8645-2328","https://orcid.org/0000-0003-3926-8875"]},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vittorio Murino","raw_affiliation_strings":["Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"raw_orcid":"https://orcid.org/0000-0002-8645-2328","affiliations":[{"raw_affiliation_string":"Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I30771326"],"apc_list":null,"apc_paid":null,"fwci":0.4436,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.55920128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2223","last_page":"2229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.5684000253677368,"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":0.5684000253677368,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.271699994802475,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.04560000076889992,"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/pedestrian-detection","display_name":"pedestrian detection","score":0.9369999766349792},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.9480000138282776},{"id":"https://openalex.org/keywords/thermal-infrared-imaging","display_name":"thermal infrared imaging","score":0.7289999723434448},{"id":"https://openalex.org/keywords/visible-light-imaging","display_name":"visible imaging","score":0.7009999752044678},{"id":"https://openalex.org/keywords/riemannian-manifolds","display_name":"Riemannian manifolds","score":0.8640000224113464},{"id":"https://openalex.org/keywords/early-fusion","display_name":"feature-level fusion","score":0.8270000219345093},{"id":"https://openalex.org/keywords/local-binary-pattern","display_name":"local binary pattern","score":0.7179999947547913},{"id":"https://openalex.org/keywords/tangent-space-projection","display_name":"tangent space projection","score":0.7480000257492065},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.6830000281333923}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6775896549224854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6343413591384888},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6117344498634338},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5459380149841309},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4875735640525818},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4755170941352844},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.45075365900993347},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4480118751525879},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4228697717189789},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23617064952850342},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.179534912109375},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:3146736267","doi":null,"is_oa":false,"landing_page_url":"http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006290574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Information Fusion","raw_type":null},{"id":"mag:1787710096","doi":null,"is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/document/6290574/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Information Fusion","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1481035327","https://openalex.org/W1541438145","https://openalex.org/W1558610543","https://openalex.org/W1627528019","https://openalex.org/W1809870575","https://openalex.org/W1975838245","https://openalex.org/W1992825118","https://openalex.org/W2020811516","https://openalex.org/W2024046085","https://openalex.org/W2031454541","https://openalex.org/W2056952330","https://openalex.org/W2096112371","https://openalex.org/W2116022929","https://openalex.org/W2134146732","https://openalex.org/W2139212933","https://openalex.org/W2142898461","https://openalex.org/W2143635852","https://openalex.org/W2145142957","https://openalex.org/W2150464218","https://openalex.org/W2158449659","https://openalex.org/W2160127501","https://openalex.org/W2160767978","https://openalex.org/W2161969291","https://openalex.org/W2165715042","https://openalex.org/W2168952643","https://openalex.org/W2533895753"],"related_works":["https://openalex.org/W1499203018","https://openalex.org/W3176159061","https://openalex.org/W4285099087","https://openalex.org/W4379795552","https://openalex.org/W4390112015","https://openalex.org/W3118570274","https://openalex.org/W4413080760","https://openalex.org/W4394827148","https://openalex.org/W7135016916","https://openalex.org/W4385881392"],"abstract_inverted_index":{"In":[0],"Computer":[1],"Vision,":[2],"automated":[3],"pedestrian":[4],"detection":[5,40],"is":[6,145],"surely":[7],"one":[8],"of":[9,51,55,62,135],"the":[10,39,63,91,114,118,122,128,133,164,177,188],"hottest":[11],"topics,":[12],"with":[13,42],"important":[14],"applications":[15],"in":[16,132],"surveillance":[17],"and":[18,33,59,67,78,107,152,168,191],"security.":[19],"To":[20],"this":[21],"end,":[22],"information":[23,119],"integration":[24],"from":[25,57,121],"different":[26,184],"imaging":[27],"modalities,":[28,124],"such":[29],"as":[30,98,125,127,181,183],"thermal":[31,58],"infrared":[32],"visible":[34,60],"spectrum,":[35],"can":[36],"significantly":[37,176],"improve":[38],"rate":[41],"respect":[43],"to":[44],"monomodal":[45],"stategies.":[46],"A":[47],"common":[48],"scheme":[49,87],"consists":[50],"extracting":[52],"two":[53],"sets":[54],"features,":[56],"images":[61],"same":[64,115],"scene":[65],"respectively,":[66],"stacking":[68],"them":[69],"together":[70],"into":[71,155],"a":[72,85,109,142,148,156],"single":[73,178],"feature":[74,190],"set,":[75],"ignoring":[76],"possible":[77],"meaningful":[79],"inter-media":[80],"dependencies.":[81],"Here":[82],"we":[83],"propose":[84],"fusion":[86,185],"which":[88,139],"acts":[89],"at":[90,113,187],"feature-level,":[92],"taking":[93],"standard":[94],"pixel":[95],"characteristics":[96],"(such":[97],"first/second":[99],"order":[100],"spatial":[101],"derivatives":[102],"or":[103],"Local":[104],"Binary":[105],"Pattern)":[106],"designing":[108],"composite":[110],"descriptor":[111],"that,":[112],"time,":[116],"encodes":[117],"coming":[120],"separate":[123],"well":[126,182],"cross-modal":[129],"mutual":[130],"relationships":[131],"form":[134],"covariances.":[136],"The":[137],"descriptor,":[138],"lies":[140],"on":[141,163],"Riemannian":[143],"manifold,":[144],"projected":[146],"onto":[147],"Euclidean":[149],"tangent":[150],"space":[151],"then":[153],"fed":[154],"Support":[157],"Vector":[158],"Machine":[159],"classifier.":[160],"Experiments":[161],"performed":[162],"OTCBVS":[165],"dataset":[166],"[1],":[167],"validated":[169],"statistically,":[170],"demonstrate":[171],"that":[172],"our":[173],"method":[174],"outperforms":[175],"modality":[179],"policies":[180],"schemes":[186],"pixel,":[189],"decision":[192],"level.":[193]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2016-06-24T00:00:00"}
