{"id":"https://openalex.org/W2155502733","doi":"https://doi.org/10.1109/coase.2007.4341822","title":"Window-Matching Techniques with Kalman Filtering for an Improved Object Visual Tracking","display_name":"Window-Matching Techniques with Kalman Filtering for an Improved Object Visual Tracking","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2155502733","doi":"https://doi.org/10.1109/coase.2007.4341822","mag":"2155502733"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2007.4341822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2007.4341822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Automation Science and Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5078484174","display_name":"Fl\u00e1vio de Barros Vidal","orcid":"https://orcid.org/0000-0002-6317-218X"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Flavio B. Vidal","raw_affiliation_strings":["Electrical Engineering Department, University of Brasilia, Brasilia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Brasilia, Brasilia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014484721","display_name":"Victor H. Casanova Alcalde","orcid":null},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Victor H. Casanova Alcalde","raw_affiliation_strings":["Electrical Engineering Department, University of Brasilia, Brasilia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Brasilia, Brasilia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150729083"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"829","last_page":"834"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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":0.9965000152587891,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9948999881744385,"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/kalman-filter","display_name":"Kalman filter","score":0.8216989636421204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7506232857704163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.717105507850647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7135836482048035},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6688781380653381},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.6035316586494446},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.601417064666748},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5451764464378357},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5065380334854126},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.49724534153938293},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.49448633193969727},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4733983278274536},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4533987045288086},{"id":"https://openalex.org/keywords/ball","display_name":"Ball (mathematics)","score":0.4414992332458496},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43495485186576843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35843202471733093},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23900365829467773},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14996924996376038}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8216989636421204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7506232857704163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.717105507850647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135836482048035},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6688781380653381},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.6035316586494446},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.601417064666748},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5451764464378357},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5065380334854126},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.49724534153938293},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.49448633193969727},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4733983278274536},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4533987045288086},{"id":"https://openalex.org/C122041747","wikidata":"https://www.wikidata.org/wiki/Q838611","display_name":"Ball (mathematics)","level":2,"score":0.4414992332458496},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43495485186576843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35843202471733093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23900365829467773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14996924996376038},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2007.4341822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2007.4341822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Automation Science and Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W160071448","https://openalex.org/W1651676304","https://openalex.org/W1997443231","https://openalex.org/W2000431725","https://openalex.org/W2031562988","https://openalex.org/W2075090895","https://openalex.org/W2078017485","https://openalex.org/W2101462865","https://openalex.org/W2103876808","https://openalex.org/W2105934661","https://openalex.org/W2130657708","https://openalex.org/W2145860405","https://openalex.org/W3003662786"],"related_works":["https://openalex.org/W2386156666","https://openalex.org/W2349207614","https://openalex.org/W1487824918","https://openalex.org/W2335246570","https://openalex.org/W1980446522","https://openalex.org/W1985706094","https://openalex.org/W2365415794","https://openalex.org/W2290997524","https://openalex.org/W2513707623","https://openalex.org/W1983394987"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,27,71,76],"development":[4],"and":[5,57],"application":[6],"of":[7,17,29],"an":[8,51],"algorithm":[9,20,42],"for":[10,46],"object":[11],"visual":[12],"tracking":[13,77],"from":[14],"a":[15,34,48,60,63],"sequence":[16],"images.":[18],"The":[19,41],"is":[21,43,67],"based":[22],"on":[23,50,62],"window-matching":[24],"techniques":[25],"using":[26],"sum":[28],"squared":[30],"differences":[31],"(SSD)":[32],"as":[33],"distance-similarity":[35],"measure,":[36],"but":[37],"adding":[38],"stochastic":[39],"filtering.":[40],"then":[44],"applied":[45],"tracking:":[47],"vehicle":[49],"urban":[52],"environment;":[53],"two":[54],"people":[55],"meeting":[56],"walking":[58],"together;":[59],"ball":[61],"ping-pong":[64],"game.":[65],"It":[66],"concluded":[68],"that":[69],"incorporating":[70],"Kalman":[72],"filtering":[73],"greatly":[74],"improves":[75],"performance.":[78]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}