{"id":"https://openalex.org/W2608091131","doi":"https://doi.org/10.1109/icmcs.2016.7905537","title":"A fast object recognition and categorization technique for robot grasping using the visual bag of words","display_name":"A fast object recognition and categorization technique for robot grasping using the visual bag of words","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2608091131","doi":"https://doi.org/10.1109/icmcs.2016.7905537","mag":"2608091131"},"language":"en","primary_location":{"id":"doi:10.1109/icmcs.2016.7905537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmcs.2016.7905537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 5th International Conference on Multimedia Computing and Systems (ICMCS)","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/A5004376785","display_name":"Mohamed Hannat","orcid":"https://orcid.org/0009-0004-9967-3391"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohamed Hannat","raw_affiliation_strings":["LIMIARF, FSR, Mohammed V University B.P.1014 RP, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIMIARF, FSR, Mohammed V University B.P.1014 RP, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017763102","display_name":"Nabila Zrira","orcid":"https://orcid.org/0000-0002-9876-9744"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Nabila Zrira","raw_affiliation_strings":["LIMIARF, FSR, Mohammed V University B.P.1014 RP, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIMIARF, FSR, Mohammed V University B.P.1014 RP, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059199765","display_name":"Youn\u00e8s Raoui","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Younes Raoui","raw_affiliation_strings":["LIMIARF, FSR, Mohammed V University B.P.1014 RP, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIMIARF, FSR, Mohammed V University B.P.1014 RP, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110301503","display_name":"El Houssine Bouyakhf","orcid":null},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"El Houssine Bouyakhf","raw_affiliation_strings":["LIMIARF, FSR, Mohammed V University B.P.1014 RP, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIMIARF, FSR, Mohammed V University B.P.1014 RP, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.507,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75335703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"173","last_page":"178"},"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9944999814033508,"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":0.8125447630882263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.777384877204895},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6874837279319763},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.650481104850769},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6331688165664673},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6175995469093323},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6092131733894348},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6029148697853088},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5717107653617859},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5495567917823792},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5227206349372864},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41569340229034424}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8125447630882263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777384877204895},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6874837279319763},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.650481104850769},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6331688165664673},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6175995469093323},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6092131733894348},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6029148697853088},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5717107653617859},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5495567917823792},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5227206349372864},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41569340229034424},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmcs.2016.7905537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmcs.2016.7905537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 5th International Conference on Multimedia Computing and Systems (ICMCS)","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":35,"referenced_works":["https://openalex.org/W62865938","https://openalex.org/W994308206","https://openalex.org/W1625255723","https://openalex.org/W1676552347","https://openalex.org/W1677409904","https://openalex.org/W1970900230","https://openalex.org/W1999412262","https://openalex.org/W1999931200","https://openalex.org/W2032791227","https://openalex.org/W2052154341","https://openalex.org/W2087347434","https://openalex.org/W2100905558","https://openalex.org/W2111308925","https://openalex.org/W2119605622","https://openalex.org/W2123504458","https://openalex.org/W2123681887","https://openalex.org/W2124386111","https://openalex.org/W2124404372","https://openalex.org/W2127218421","https://openalex.org/W2131846894","https://openalex.org/W2132311402","https://openalex.org/W2141362318","https://openalex.org/W2145862222","https://openalex.org/W2147277317","https://openalex.org/W2153635508","https://openalex.org/W2154422044","https://openalex.org/W2162915993","https://openalex.org/W2168951883","https://openalex.org/W2171706135","https://openalex.org/W2171896402","https://openalex.org/W3146079624","https://openalex.org/W6602580471","https://openalex.org/W6636494156","https://openalex.org/W6674977914","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2573606541","https://openalex.org/W2912559722"],"abstract_inverted_index":{"We":[0,15],"present":[1],"in":[2],"this":[3],"paper":[4],"a":[5,39,91],"real-time":[6,66],"method":[7],"for":[8],"visual":[9,34,95],"categorization":[10],"to":[11,32,77],"do":[12,58],"robot":[13,87],"grasping.":[14],"describe":[16],"an":[17,80,108],"object":[18,59,81,105],"database":[19],"with":[20,27,70,90],"SURF":[21],"feature":[22],"points":[23],"which":[24],"we":[25,37,57],"quantify":[26],"the":[28,47,50,62,71,98,104],"Kmeans":[29],"clustering":[30],"algorithm":[31],"make":[33],"words.":[35],"Then,":[36],"train":[38],"Support":[40],"Vector":[41],"Machine":[42],"classifier":[43],"having":[44],"as":[45],"entries":[46],"distribution":[48],"of":[49,52,100,103,110],"bag":[51],"features":[53],"extracted":[54],"earlier.":[55],"Likewise,":[56],"recognition":[60,106,111],"using":[61,85,93],"SVM":[63],"algorithm.":[64],"The":[65,74],"implementation":[67],"is":[68],"done":[69],"OpenCV":[72],"GPU.":[73],"application":[75],"aims":[76],"pick":[78],"up":[79],"and":[82,114],"drop":[83],"it":[84],"our":[86,94,101],"manipulator":[88],"equipped":[89],"camera":[92],"system.":[96],"Finally,":[97],"results":[99],"experiments":[102],"show":[107],"average":[109],"between":[112],"95%":[113],"100%.":[115]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}