{"id":"https://openalex.org/W2891494479","doi":"https://doi.org/10.1109/icra.2018.8460680","title":"Constrained Confidence Matching for Planar Object Tracking","display_name":"Constrained Confidence Matching for Planar Object Tracking","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2891494479","doi":"https://doi.org/10.1109/icra.2018.8460680","mag":"2891494479"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2018.8460680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8460680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","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/A5100453676","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0003-2369-2129"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Wang","raw_affiliation_strings":["School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061469520","display_name":"Haibin Ling","orcid":"https://orcid.org/0000-0003-4094-8413"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibin Ling","raw_affiliation_strings":["Computer & Information Sciences Department, Temple University, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"Computer & Information Sciences Department, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111626122","display_name":"Congyan Lang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congyan Lang","raw_affiliation_strings":["School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085406955","display_name":"Songhe Feng","orcid":"https://orcid.org/0000-0002-5922-9358"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songhe Feng","raw_affiliation_strings":["School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033896100","display_name":"Yi Jin","orcid":"https://orcid.org/0000-0001-8408-3816"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Jin","raw_affiliation_strings":["School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010019122","display_name":"Yidong Li","orcid":"https://orcid.org/0000-0003-2965-6196"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidong Li","raw_affiliation_strings":["School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100453676"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.5223,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71028601,"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":"659","last_page":"666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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":0.825594425201416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8063249588012695},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7480635643005371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7135797739028931},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6289766430854797},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.6287838816642761},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5969054698944092},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5089015960693359},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4830525517463684},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.451065331697464},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.44109901785850525},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4310801029205322},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43044403195381165},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3044474422931671},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29592055082321167},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.2804672122001648},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12481597065925598}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.825594425201416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8063249588012695},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7480635643005371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135797739028931},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6289766430854797},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.6287838816642761},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5969054698944092},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5089015960693359},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4830525517463684},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.451065331697464},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44109901785850525},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4310801029205322},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43044403195381165},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3044474422931671},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29592055082321167},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2804672122001648},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12481597065925598},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2018.8460680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8460680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","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":53,"referenced_works":["https://openalex.org/W135449821","https://openalex.org/W1493819645","https://openalex.org/W1511840314","https://openalex.org/W1971616954","https://openalex.org/W1995903777","https://openalex.org/W2020412704","https://openalex.org/W2021930164","https://openalex.org/W2022879247","https://openalex.org/W2031489346","https://openalex.org/W2032982167","https://openalex.org/W2033413929","https://openalex.org/W2035379092","https://openalex.org/W2049981393","https://openalex.org/W2083978480","https://openalex.org/W2093027067","https://openalex.org/W2103876808","https://openalex.org/W2104303480","https://openalex.org/W2104520769","https://openalex.org/W2116023383","https://openalex.org/W2118877769","https://openalex.org/W2121299550","https://openalex.org/W2124211486","https://openalex.org/W2128118593","https://openalex.org/W2131711931","https://openalex.org/W2137750560","https://openalex.org/W2138451337","https://openalex.org/W2138478117","https://openalex.org/W2139047213","https://openalex.org/W2143715815","https://openalex.org/W2149115159","https://openalex.org/W2157364958","https://openalex.org/W2172803778","https://openalex.org/W2626225338","https://openalex.org/W2736812385","https://openalex.org/W2753461371","https://openalex.org/W3145130809","https://openalex.org/W4206771003","https://openalex.org/W6605435333","https://openalex.org/W6629301474","https://openalex.org/W6630542127","https://openalex.org/W6655125510","https://openalex.org/W6671505580","https://openalex.org/W6673644456","https://openalex.org/W6675699894","https://openalex.org/W6677293867","https://openalex.org/W6677548441","https://openalex.org/W6679312007","https://openalex.org/W6680524395","https://openalex.org/W6682634897","https://openalex.org/W6683296379","https://openalex.org/W6684048121","https://openalex.org/W6739607534","https://openalex.org/W6741415559"],"related_works":["https://openalex.org/W2012200063","https://openalex.org/W4320086059","https://openalex.org/W4210734798","https://openalex.org/W4312249400","https://openalex.org/W2405278583","https://openalex.org/W2985391290","https://openalex.org/W3093712048","https://openalex.org/W3015573086","https://openalex.org/W3159642117","https://openalex.org/W4214689724"],"abstract_inverted_index":{"Tracking":[0],"planar":[1,126],"objects":[2],"has":[3],"a":[4,27,43,53,92],"wide":[5],"range":[6],"of":[7,29,74,83],"applications":[8],"in":[9,72],"robotics.":[10],"Conventional":[11],"template":[12,58],"tracking":[13,142],"algorithms,":[14],"however,":[15],"often":[16],"fail":[17],"to":[18,32,96],"observe":[19],"fast":[20],"object":[21,34,99,127],"motion":[22,50,70,84,114],"or":[23],"drift":[24],"significantly":[25],"after":[26],"period":[28],"time,":[30],"due":[31],"drastic":[33],"appearance":[35,100],"change.":[36],"To":[37],"address":[38],"such":[39],"challenges,":[40],"we":[41,118],"propose":[42],"novel":[44,93],"constrained":[45],"confidence":[46],"matching":[47],"algorithm":[48,139],"for":[49,57],"estimation":[51,71],"and":[52,112,148],"robust":[54,141],"Kalman":[55,89],"filter":[56,90],"updating.":[59],"Integrated":[60],"with":[61,123],"an":[62],"accurate":[63,69],"occlusion":[64],"detector,":[65],"our":[66,104,138],"approach":[67],"achieves":[68,140],"presence":[73],"partial":[75],"occlusion,":[76],"by":[77],"excluding":[78],"occluded":[79],"pixels":[80],"from":[81],"computation":[82],"parameters.":[85],"Furthermore,":[86],"the":[87,98,120],"proposed":[88,121],"employs":[91],"control-input":[94],"model":[95],"handle":[97],"change,":[101],"which":[102],"brings":[103],"tracker":[105,122],"high":[106],"robustness":[107],"against":[108,144],"sudden":[109],"illumination":[110],"change":[111],"heavy":[113],"blur.":[115],"For":[116],"evaluation,":[117],"compare":[119],"several":[124],"state-of-the-art":[125],"trackers":[128],"on":[129,153],"two":[130],"public":[131],"benchmark":[132],"datasets.":[133,155],"Experimental":[134],"results":[135,143],"show":[136],"that":[137],"various":[145],"environmental":[146],"variations,":[147],"outperforms":[149],"baseline":[150],"algorithms":[151],"remarkably":[152],"both":[154]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
