{"id":"https://openalex.org/W2793700966","doi":"https://doi.org/10.1109/rcar.2017.8311921","title":"Visual tracking and grasping of moving objects and its application to an industrial robot","display_name":"Visual tracking and grasping of moving objects and its application to an industrial robot","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2793700966","doi":"https://doi.org/10.1109/rcar.2017.8311921","mag":"2793700966"},"language":"en","primary_location":{"id":"doi:10.1109/rcar.2017.8311921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar.2017.8311921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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":null,"display_name":"Zhou Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhou Zhao","raw_affiliation_strings":["Research Center of Intelligent Robotics and National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Northwestern Polytechnical University, China","Research Center of Intelligent Robotics, Northwestern Polytechnical University, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Intelligent Robotics and National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Research Center of Intelligent Robotics, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091127758","display_name":"Panfeng Huang","orcid":"https://orcid.org/0000-0002-5132-9602"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Panfeng Huang","raw_affiliation_strings":["Research Center of Intelligent Robotics and National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Northwestern Polytechnical University, China","Research Center of Intelligent Robotics, Northwestern Polytechnical University, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Intelligent Robotics and National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Research Center of Intelligent Robotics, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073704186","display_name":"Lu Chen","orcid":"https://orcid.org/0000-0002-3612-8132"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Chen","raw_affiliation_strings":["Research Center of Intelligent Robotics and National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Northwestern Polytechnical University, China","Research Center of Intelligent Robotics, Northwestern Polytechnical University, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Intelligent Robotics and National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Research Center of Intelligent Robotics, Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.22633878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"555","last_page":"560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9984999895095825,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9929999709129333,"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/computer-vision","display_name":"Computer vision","score":0.7738015055656433},{"id":"https://openalex.org/keywords/industrial-robot","display_name":"Industrial robot","score":0.7393128871917725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7384177446365356},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.690523624420166},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.6829333305358887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658450722694397},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5604586601257324},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5604183077812195},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5464930534362793},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5424050688743591},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46532198786735535},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.42990168929100037},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4123062193393707}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7738015055656433},{"id":"https://openalex.org/C2776126113","wikidata":"https://www.wikidata.org/wiki/Q1128980","display_name":"Industrial robot","level":3,"score":0.7393128871917725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7384177446365356},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.690523624420166},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.6829333305358887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658450722694397},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5604586601257324},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5604183077812195},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5464930534362793},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5424050688743591},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46532198786735535},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.42990168929100037},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4123062193393707},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar.2017.8311921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar.2017.8311921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W1578889628","https://openalex.org/W1608265178","https://openalex.org/W1960404228","https://openalex.org/W1966264494","https://openalex.org/W2005660353","https://openalex.org/W2023640470","https://openalex.org/W2053365112","https://openalex.org/W2058156429","https://openalex.org/W2068865910","https://openalex.org/W2078445486","https://openalex.org/W2081967359","https://openalex.org/W2089961441","https://openalex.org/W2108177245","https://openalex.org/W2128068588","https://openalex.org/W2145640590","https://openalex.org/W2147533695","https://openalex.org/W2158592639","https://openalex.org/W2165037244","https://openalex.org/W6601205835","https://openalex.org/W6634419190"],"related_works":["https://openalex.org/W2373557848","https://openalex.org/W2088970451","https://openalex.org/W2157008402","https://openalex.org/W2592302855","https://openalex.org/W2891810947","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W4388689193"],"abstract_inverted_index":{"In":[0,40],"industrial":[1,15,21,38,140],"robots,":[2],"the":[3,13,20,27,52,56,79,83,87,105,108,116,119,123,134,139,151],"use":[4],"of":[5,71,107,150],"vision":[6],"sensors":[7],"is":[8,34,46,75,91,101,142,154],"indispensable,":[9],"which":[10],"can":[11],"enhance":[12],"robot's":[14],"intelligence":[16],"and":[17,29,50,59,82,115,122],"better":[18],"help":[19],"robot":[22,141],"accomplish":[23,94],"tasks.":[24,39],"But":[25],"achieving":[26],"accuracy":[28],"time":[30],"efficiency":[31],"together":[32],"still":[33],"a":[35,43,68,97,129],"challenge":[36],"in":[37,86,111,145],"this":[41],"paper,":[42],"new":[44],"method":[45,100,153],"presented":[47],"to":[48,77,103],"track":[49],"grasp":[51],"moving":[53,80,109,120],"object.":[54],"First,":[55],"high-resolution":[57],"depth":[58],"RGB":[60],"sensing":[61],"are":[62,125],"acquired":[63],"by":[64,128],"Kinect":[65],"v2.":[66],"Next,":[67],"tracking":[69,78,135],"algorithm":[70],"improved":[72],"spatio-temporal":[73],"context":[74],"applied":[76,102],"object,":[81],"gripper":[84,124],"position":[85],"base":[88],"coordinate":[89],"system":[90,136],"calculated.":[92],"To":[93],"grasping":[95,131],"tasks,":[96],"linear":[98],"prediction":[99],"predict":[104],"trajectory":[106],"object":[110,121],"three":[112],"dimension":[113],"space,":[114],"distance":[117],"between":[118],"constantly":[126],"decreased":[127],"simple":[130],"strategy.":[132],"Finally,":[133],"based":[137],"on":[138],"set":[143],"up":[144],"our":[146],"laboratory.":[147],"The":[148],"effectiveness":[149],"proposed":[152],"verified.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}