{"id":"https://openalex.org/W2207128697","doi":null,"title":"Detecting Small Objects in Natural Scene using Depth Cue","display_name":"Detecting Small Objects in Natural Scene using Depth Cue","publication_year":2010,"publication_date":"2010-02-01","ids":{"openalex":"https://openalex.org/W2207128697","mag":"2207128697"},"language":"en","primary_location":{"id":"mag:2207128697","doi":null,"is_oa":false,"landing_page_url":"https://koasas.kaist.ac.kr/bitstream/10203/20279/1/fcv2010_revised_final.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","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/A5100611457","display_name":"Jaesik Park","orcid":"https://orcid.org/0000-0001-5541-409X","observed_orcids":["https://orcid.org/0000-0001-5541-409X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaesik Park","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052108818","display_name":"Yekeun Jeong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yekeun Jeong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055442307","display_name":"Chaehoon Park","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaehoon Park","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109038486","display_name":"In-So Kweon","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"In-So Kweon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.323,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81847786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"346","last_page":"350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.6596999764442444,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.6596999764442444,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.15279999375343323,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.1088000014424324,"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/small-object-detection","display_name":"small object detection","score":0.9980000257492065},{"id":"https://openalex.org/keywords/scale-ambiguity","display_name":"scale ambiguity","score":0.7459999918937683},{"id":"https://openalex.org/keywords/laser-rangefinder","display_name":"laser rangefinder","score":0.7749999761581421},{"id":"https://openalex.org/keywords/stereo-vision","display_name":"stereo vision","score":0.8349999785423279},{"id":"https://openalex.org/keywords/natural-images","display_name":"natural images","score":0.6600000262260437},{"id":"https://openalex.org/keywords/object-recognition","display_name":"object recognition","score":0.39399999380111694}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8137623071670532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7985504865646362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662200331687927},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7334352135658264},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6310808658599854},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5383485555648804},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4813443124294281},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.46437257528305054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3110601305961609},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1017138659954071},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2207128697","doi":null,"is_oa":false,"landing_page_url":"https://koasas.kaist.ac.kr/bitstream/10203/20279/1/fcv2010_revised_final.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"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":13,"referenced_works":["https://openalex.org/W988466463","https://openalex.org/W1591591591","https://openalex.org/W1888152088","https://openalex.org/W2033819227","https://openalex.org/W2056591618","https://openalex.org/W2092205991","https://openalex.org/W2110099550","https://openalex.org/W2123782500","https://openalex.org/W2125802042","https://openalex.org/W2151103935","https://openalex.org/W2157874720","https://openalex.org/W2167667767","https://openalex.org/W2168310177"],"related_works":["https://openalex.org/W3142604139","https://openalex.org/W2886922105","https://openalex.org/W7127988308","https://openalex.org/W7071524617","https://openalex.org/W4379619949","https://openalex.org/W4320027727","https://openalex.org/W4387462094","https://openalex.org/W3122799380","https://openalex.org/W7128685937","https://openalex.org/W3210378990"],"abstract_inverted_index":{"We":[0,144],"present":[1],"a":[2,63,97,103,130,149],"novel":[3],"object":[4,41,53,83,124,141,183],"detection":[5,44,184],"strategy":[6],"using":[7,115],"depth":[8,60,90],"cue":[9,61,91],"which":[10,106,152],"is":[11,84,174],"robust":[12],"to":[13,25,47,72,158,176],"small-sized":[14],"objects.":[15],"In":[16],"practical":[17],"cases,":[18],"the":[19,34,59,66,82,171,178],"target":[20,161],"objects":[21,162],"that":[22,170],"we":[23,127],"want":[24],"detect":[26],"often":[27],"appear":[28],"in":[29,119,151,163],"very":[30],"small":[31,87,182],"portion":[32],"of":[33,39,133,140,181],"input":[35],"images":[36],"and":[37,43,69],"most":[38],"previous":[40],"recognition":[42],"approaches":[45],"aiming":[46],"achieve":[48],"high":[49],"accuracy":[50],"for":[51,76,110],"several":[52,160],"databases":[54],"are":[55],"not":[56],"applicable.":[57],"Adopting":[58],"as":[62],"prior":[64],"removes":[65],"scale":[67],"ambiguity":[68],"allows":[70],"us":[71],"use":[73],"adaptive":[74],"scales":[75],"all":[77],"candidate":[78],"regions":[79],"even":[80],"when":[81,136],"seen":[85],"at":[86],"size.":[88],"The":[89,166],"can":[92,128],"be":[93],"easily":[94],"obtained":[95],"by":[96],"Laser":[98],"Range":[99],"Finder":[100],"(LRF)":[101],"or":[102],"stereo":[104],"camera":[105],"have":[107],"become":[108],"common":[109],"many":[111],"camera-based":[112],"configurations.":[113],"By":[114],"our":[116],"proposed":[117,172],"method":[118,173],"combination":[120],"with":[121,148],"any":[122],"other":[123],"detection/recognition":[125],"method,":[126],"expect":[129],"substantial":[131],"improvement":[132],"success":[134,179],"rate":[135,180],"an":[137,146,153],"insufficient":[138],"appearance":[139],"causes":[142],"trouble.":[143],"designed":[145],"experiment":[147],"scenario":[150],"indoor":[154],"mobile":[155],"robot":[156],"tries":[157],"find":[159],"general":[164],"environment.":[165],"experimental":[167],"result":[168],"demonstrates":[169],"effective":[175],"improve":[177],"tasks.":[185]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}