{"id":"https://openalex.org/W2157890992","doi":"https://doi.org/10.1109/cvpr.2008.4587551","title":"Real time object tracking based on dynamic feature grouping with background subtraction","display_name":"Real time object tracking based on dynamic feature grouping with background subtraction","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2157890992","doi":"https://doi.org/10.1109/cvpr.2008.4587551","mag":"2157890992"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5084799095","display_name":"ZuWhan Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"ZuWhan Kim","raw_affiliation_strings":["California PATH, University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"California PATH, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084799095"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":17.3807,"has_fulltext":false,"cited_by_count":133,"citation_normalized_percentile":{"value":0.99407967,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.9294273853302002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7842578887939453},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7682723999023438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7343927025794983},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7061188220977783},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6931945085525513},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6754874587059021},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6318046450614929},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.5178790092468262},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5064688920974731},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46103763580322266},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.426454097032547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4142487049102783},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.18972596526145935},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.12002098560333252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0999898612499237}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.9294273853302002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7842578887939453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7682723999023438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7343927025794983},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7061188220977783},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6931945085525513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6754874587059021},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6318046450614929},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.5178790092468262},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5064688920974731},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46103763580322266},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.426454097032547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4142487049102783},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.18972596526145935},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.12002098560333252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0999898612499237},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2008.4587551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.408.9697","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.9697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/211.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W641020656","https://openalex.org/W1494930443","https://openalex.org/W1505531595","https://openalex.org/W1521365818","https://openalex.org/W1854505609","https://openalex.org/W1950703464","https://openalex.org/W2004010254","https://openalex.org/W2049633694","https://openalex.org/W2109258005","https://openalex.org/W2122868496","https://openalex.org/W2128768415","https://openalex.org/W2137479423","https://openalex.org/W2138922551","https://openalex.org/W2141473805","https://openalex.org/W2143340514","https://openalex.org/W2143373691","https://openalex.org/W2146944178","https://openalex.org/W2153534103","https://openalex.org/W3151739637","https://openalex.org/W6620980068","https://openalex.org/W6638896959","https://openalex.org/W6640676278"],"related_works":["https://openalex.org/W1987287817","https://openalex.org/W4405810158","https://openalex.org/W3100796443","https://openalex.org/W2123129869","https://openalex.org/W3094443322","https://openalex.org/W3031536623","https://openalex.org/W2615278000","https://openalex.org/W2318603563","https://openalex.org/W2360075875","https://openalex.org/W2965594636"],"abstract_inverted_index":{"Object":[0],"detection":[1,16,61],"and":[2,17,26,30,62,82],"tracking":[3,18,29,46],"has":[4],"various":[5],"application":[6,96],"areas":[7],"including":[8],"intelligent":[9],"transportation":[10,95],"systems.":[11],"We":[12,33,65],"introduce":[13],"an":[14,36],"object":[15],"approach":[19,73],"that":[20,74],"combines":[21],"the":[22,27,59],"background":[23,38,52],"subtraction":[24,39,53],"algorithm":[25,40],"feature":[28,45,60,71],"grouping":[31,63,72],"algorithm.":[32],"first":[34],"present":[35,67],"augmented":[37],"which":[41],"uses":[42],"a":[43,48,68,93],"low-level":[44],"as":[47],"cue.":[49],"The":[50],"resulting":[51],"cues":[54],"are":[55,97],"used":[56,77],"to":[57],"improve":[58],"result.":[64],"then":[66],"dynamic":[69],"multi-level":[70],"can":[75],"be":[76],"in":[78],"real":[79],"time":[80],"applications":[81],"also":[83],"provides":[84],"high-quality":[85],"trajectories.":[86],"Experimental":[87],"results":[88],"from":[89],"video":[90],"clips":[91],"of":[92],"challenging":[94],"presented.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":14}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
