{"id":"https://openalex.org/W1908755996","doi":"https://doi.org/10.5220/0004689304410447","title":"Dense Segmentation of Textured Fruits in Video Sequences","display_name":"Dense Segmentation of Textured Fruits in Video Sequences","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1908755996","doi":"https://doi.org/10.5220/0004689304410447","mag":"1908755996"},"language":"en","primary_location":{"id":"doi:10.5220/0004689304410447","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004689304410447","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004689304410447","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023209744","display_name":"Waqar S. Qureshi","orcid":"https://orcid.org/0000-0003-0176-8145"},"institutions":[{"id":"https://openalex.org/I312958679","display_name":"National University of Science and Technology","ror":"https://ror.org/02kesvt12","country_code":"ZW","type":"education","lineage":["https://openalex.org/I312958679"]}],"countries":["ZW"],"is_corresponding":true,"raw_author_name":"Waqar S. Qureshi","raw_affiliation_strings":["School of Mechanical and Manufacturing Engineering, National University of Science and Technology, Islamabad (Pakistan)"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Manufacturing Engineering, National University of Science and Technology, Islamabad (Pakistan)","institution_ids":["https://openalex.org/I312958679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111504348","display_name":"Shin'ichi Satoh","orcid":null},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin","raw_affiliation_strings":["Multimedia Lab, National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Multimedia Lab, National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035778658","display_name":"Matthew N. Dailey","orcid":"https://orcid.org/0000-0002-7191-3558"},"institutions":[{"id":"https://openalex.org/I38538140","display_name":"Asian Institute of Technology","ror":"https://ror.org/0403qcr87","country_code":"TH","type":"education","lineage":["https://openalex.org/I38538140"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Matthew N. Dailey","raw_affiliation_strings":["School of Engineering and Technology, Asian Institute of Technology,Pathumthani,Thailand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, Asian Institute of Technology,Pathumthani,Thailand","institution_ids":["https://openalex.org/I38538140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019117213","display_name":"Mongkol Ekpanyapong","orcid":"https://orcid.org/0000-0002-0192-6249"},"institutions":[{"id":"https://openalex.org/I38538140","display_name":"Asian Institute of Technology","ror":"https://ror.org/0403qcr87","country_code":"TH","type":"education","lineage":["https://openalex.org/I38538140"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Mongkol Ekpanyapong","raw_affiliation_strings":["School of Engineering and Technology, Asian Institute of Technology,Pathumthani,Thailand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, Asian Institute of Technology,Pathumthani,Thailand","institution_ids":["https://openalex.org/I38538140"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023209744"],"corresponding_institution_ids":["https://openalex.org/I312958679"],"apc_list":null,"apc_paid":null,"fwci":1.8323,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86316971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"441","last_page":"447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9883000254631042,"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":0.984000027179718,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8203345537185669},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7308353185653687},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6970124840736389},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6462306380271912},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6138938665390015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6105217337608337},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5923327207565308},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5480400323867798},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.502326488494873},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4817640781402588},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4623791575431824},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4112658202648163},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3179478645324707},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23913845419883728}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8203345537185669},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7308353185653687},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6970124840736389},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6462306380271912},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6138938665390015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6105217337608337},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5923327207565308},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5480400323867798},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.502326488494873},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4817640781402588},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4623791575431824},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4112658202648163},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3179478645324707},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23913845419883728},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004689304410447","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004689304410447","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004689304410447","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004689304410447","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1703908","https://openalex.org/W1508404128","https://openalex.org/W1970487713","https://openalex.org/W2066941820","https://openalex.org/W2080629029","https://openalex.org/W2102889695","https://openalex.org/W2108417695","https://openalex.org/W2115125487","https://openalex.org/W2145792835","https://openalex.org/W2545985378"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"Autonomous":[0],"monitoring":[1],"of":[2,38,102,118,127,134,137,143,168],"fruit":[3,14,81,108],"crops":[4],"based":[5,23,84],"on":[6,24,85],"mobile":[7],"camera":[8],"sensors":[9],"requires":[10],"methods":[11,22],"to":[12,69,130],"segment":[13],"regions":[15],"from":[16,172],"the":[17,36,71,103,146,173],"background":[18],"in":[19,32],"images.":[20],"Previous":[21],"color":[25],"and":[26,61,91,92,120,139,159],"shape":[27],"cues":[28],"have":[29],"been":[30],"successful":[31],"some":[33],"cases,":[34],"but":[35],"detection":[37,113,132],"textured":[39,80,107,169],"green":[40,43,170],"fruits":[41,171],"among":[42],"plant":[44],"material":[45],"remains":[46],"a":[47,79,111,115,121,131],"challenging":[48],"problem.":[49],"A":[50],"recently":[51],"proposed":[52,104],"method":[53,83],"uses":[54],"sparse":[55,148],"keypoint":[56,58,62],"detection,":[57],"descriptor":[59,63],"computation,":[60],"classification":[64,95,162],"followed":[65],"by":[66],"morphological":[67],"techniques":[68],"fill":[70],"gaps":[72],"between":[73],"positively":[74],"classified":[75],"keypoints.":[76],"We":[77,151],"propose":[78],"segmentation":[82,109,167],"super-pixel":[86,154],"oversegmentation,":[87,155],"dense":[88,156],"SIFT":[89,157],"descriptors,":[90,158],"bag-of-visual-word":[93,160],"histogram":[94,161],"within":[96],"each":[97],"super-pixel.":[98],"An":[99],"empirical":[100],"evaluation":[101],"technique":[105],"for":[106,145,165],"yields":[110],"96:67%":[112],"rate,":[114],"per-pixel":[116],"accuracy":[117,136],"97:657%,":[119],"per":[122],"frame":[123],"false":[124,140],"alarm":[125,141],"rate":[126,133,142],"0:645%,":[128],"compared":[129],"90:0%,":[135],"84:94%,":[138],"0:887%":[144],"baseline":[147],"keypoint-based":[149],"method.":[150],"conclude":[152],"that":[153],"are":[163],"effective":[164],"in-field":[166],"background.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}