{"id":"https://openalex.org/W1968929962","doi":"https://doi.org/10.1109/robio.2013.6739825","title":"Real-time compressive tracking with motion estimation","display_name":"Real-time compressive tracking with motion estimation","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1968929962","doi":"https://doi.org/10.1109/robio.2013.6739825","mag":"1968929962"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2013.6739825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5065342667","display_name":"Jiayun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiayun Wu","raw_affiliation_strings":["National University of Singapore and she is now with CETC 29, Cheng Du, China","29th Res. Inst., CETC, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore and she is now with CETC 29, Cheng Du, China","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"29th Res. Inst., CETC, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102845020","display_name":"Daquan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daquan Chen","raw_affiliation_strings":["CETC 29, Cheng Du, China","29th Res. Inst., CETC, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CETC 29, Cheng Du, China","institution_ids":[]},{"raw_affiliation_string":"29th Res. Inst., CETC, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112111530","display_name":"Yi Rui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Yi","raw_affiliation_strings":["CETC 29, Cheng Du, China","29th Res. Inst., CETC, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CETC 29, Cheng Du, China","institution_ids":[]},{"raw_affiliation_string":"29th Res. Inst., CETC, Chengdu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5525,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68349837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"2374","last_page":"2379"},"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":0.995199978351593,"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/T11448","display_name":"Face recognition and analysis","score":0.9908999800682068,"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":0.8224218487739563},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7363896369934082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.719866156578064},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7193291187286377},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6377942562103271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6186233758926392},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.584492564201355},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5761488676071167},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.4882259666919708},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.4695209860801697},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4457356929779053},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.44071701169013977},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4133402407169342},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.33384013175964355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2496049404144287},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.22100162506103516}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8224218487739563},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7363896369934082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.719866156578064},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7193291187286377},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6377942562103271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6186233758926392},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.584492564201355},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5761488676071167},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.4882259666919708},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.4695209860801697},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4457356929779053},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.44071701169013977},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4133402407169342},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.33384013175964355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2496049404144287},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.22100162506103516},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2013.6739825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":22,"referenced_works":["https://openalex.org/W1807914171","https://openalex.org/W1968104963","https://openalex.org/W2000326692","https://openalex.org/W2002406878","https://openalex.org/W2016309246","https://openalex.org/W2030449718","https://openalex.org/W2037757210","https://openalex.org/W2089961441","https://openalex.org/W2098854771","https://openalex.org/W2109579504","https://openalex.org/W2113577207","https://openalex.org/W2129812935","https://openalex.org/W2139047213","https://openalex.org/W2150000644","https://openalex.org/W2154209944","https://openalex.org/W2162919312","https://openalex.org/W2165037244","https://openalex.org/W2613779721","https://openalex.org/W2753461371","https://openalex.org/W6638399501","https://openalex.org/W6677384362","https://openalex.org/W6684332838"],"related_works":["https://openalex.org/W2062103941","https://openalex.org/W4211133619","https://openalex.org/W1995980025","https://openalex.org/W1522562297","https://openalex.org/W1501297619","https://openalex.org/W2051456680","https://openalex.org/W2134551409","https://openalex.org/W2053820737","https://openalex.org/W2122957754","https://openalex.org/W3145278978"],"abstract_inverted_index":{"Visual":[0],"tracking":[1,24,84],"is":[2,53,110],"challenging":[3],"due":[4],"to":[5,38],"appearance":[6,21,81,103],"changes":[7],"caused":[8],"by":[9,67,85],"motion,":[10],"illumination,":[11],"occlusion":[12],"and":[13,34,59],"pose,":[14],"among":[15],"others.":[16],"For":[17],"these":[18,57],"local":[19,32],"changes,":[20],"model":[22,82],"based":[23,83,104],"algorithms,":[25],"such":[26],"as":[27],"MILtracker":[28],"[8],":[29],"have":[30,64],"adopted":[31],"features":[33],"most":[35],"recently":[36],"extended":[37],"compressive":[39],"domain,":[40],"namely":[41],"Compressive":[42],"Tracking":[43],"[13],":[44],"for":[45],"the":[46,50,74,100,108],"real-time":[47],"performance.":[48],"However,":[49],"motion":[51,63,75,87,96,112],"information":[52,76],"missed":[54],"out":[55],"from":[56],"trackers":[58,105],"assumptions":[60],"on":[61],"target":[62,109],"been":[65,78],"made":[66],"predefined":[68],"search":[69],"radii.":[70],"In":[71],"this":[72],"paper,":[73],"has":[77],"integrated":[79],"into":[80],"introducing":[86],"estimator,":[88],"i.e.,":[89],"particle":[90],"filters.":[91],"The":[92],"experiments":[93],"show":[94],"that":[95],"estimator":[97],"could":[98],"improve":[99],"performance":[101],"of":[102],"especially":[106],"when":[107],"with":[111],"variety.":[113]},"counts_by_year":[{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
