{"id":"https://openalex.org/W1937875076","doi":"https://doi.org/10.1109/iscas.2015.7168813","title":"A novel visual object tracking algorithm using multiple spatial context models and Bayesian Kalman filter","display_name":"A novel visual object tracking algorithm using multiple spatial context models and Bayesian Kalman filter","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1937875076","doi":"https://doi.org/10.1109/iscas.2015.7168813","mag":"1937875076"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2015.7168813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2015.7168813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5052592014","display_name":"Xueyu Wei","orcid":"https://orcid.org/0000-0003-0109-3360"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"X. G. Wei","raw_affiliation_strings":["Dept. Electrical and Electronic Engineering The University of Hong Kong, Hong Kong, China","Dept. Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical and Electronic Engineering The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Dept. Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328857","display_name":"Shuai Zhang","orcid":"https://orcid.org/0000-0002-0348-3840"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuai Zhang","raw_affiliation_strings":["Dept. Electrical and Electronic Engineering The University of Hong Kong, Hong Kong, China","Dept. Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical and Electronic Engineering The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Dept. Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057049452","display_name":"S. C. Chan","orcid":"https://orcid.org/0000-0001-7212-4182"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"S. C. Chan","raw_affiliation_strings":["Dept. Electrical and Electronic Engineering The University of Hong Kong, Hong Kong, China","Dept. Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical and Electronic Engineering The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Dept. Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052592014"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56459691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1034","last_page":"1037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9764999747276306,"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":0.9617999792098999,"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":0.792315661907196},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7701379060745239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7299895882606506},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.7187027335166931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7088841199874878},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6754562854766846},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6079318523406982},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5313255190849304},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5306645035743713},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.44118013978004456},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4277290999889374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3339194655418396}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.792315661907196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7701379060745239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299895882606506},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.7187027335166931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7088841199874878},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6754562854766846},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6079318523406982},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5313255190849304},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5306645035743713},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.44118013978004456},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4277290999889374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3339194655418396},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2015.7168813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2015.7168813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W2027519371","https://openalex.org/W2098941887","https://openalex.org/W2124211486","https://openalex.org/W2132103241","https://openalex.org/W2139047213","https://openalex.org/W2165037244","https://openalex.org/W2177190793","https://openalex.org/W3099788219","https://openalex.org/W6601205835","https://openalex.org/W6684332838"],"related_works":["https://openalex.org/W2565094479","https://openalex.org/W2390829436","https://openalex.org/W1989791859","https://openalex.org/W602859758","https://openalex.org/W2006439817","https://openalex.org/W1971289376","https://openalex.org/W2379101322","https://openalex.org/W1992553864","https://openalex.org/W2776207444","https://openalex.org/W2726447019"],"abstract_inverted_index":{"Appearance":[0],"modelling":[1],"and":[2,38,61,83],"tracking":[3,55],"strategy":[4,56],"are":[5],"two":[6],"fundamental":[7],"problems":[8],"in":[9],"visual":[10],"object":[11,20],"tracking.":[12,44],"In":[13],"this":[14],"paper,":[15],"the":[16,19,54,64],"appearance":[17],"of":[18,29,63],"is":[21,51],"modeled":[22],"by":[23],"a":[24,46],"spatial":[25,40],"context":[26],"based":[27],"bag":[28],"multiple":[30,36],"models":[31],"(BMM).":[32],"The":[33],"BMM":[34],"keeps":[35],"hypotheses":[37],"utilizes":[39],"information":[41],"to":[42,57],"perform":[43],"Furthermore,":[45],"novel":[47],"Bayesian":[48],"Kalman":[49],"filter":[50],"used":[52],"as":[53],"handle":[58,75],"fast":[59,84],"movement":[60],"acceleration":[62],"tracked":[65],"object.":[66],"Experimental":[67],"results":[68],"show":[69],"that":[70],"our":[71],"method":[72],"can":[73],"successfully":[74],"complex":[76],"scenarios":[77],"with":[78],"complicated":[79],"background,":[80],"long-term":[81],"occlusion":[82],"movement.":[85]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}