{"id":"https://openalex.org/W1980508392","doi":"https://doi.org/10.1109/tip.2012.2214049","title":"Video Object Tracking in the Compressed Domain Using Spatio-Temporal Markov Random Fields","display_name":"Video Object Tracking in the Compressed Domain Using Spatio-Temporal Markov Random Fields","publication_year":2012,"publication_date":"2012-08-17","ids":{"openalex":"https://openalex.org/W1980508392","doi":"https://doi.org/10.1109/tip.2012.2214049","mag":"1980508392","pmid":"https://pubmed.ncbi.nlm.nih.gov/22910117"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2012.2214049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2214049","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5012204259","display_name":"Sayed Hossein Khatoonabadi","orcid":"https://orcid.org/0000-0002-9927-9595"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"S. H. Khatoonabadi","raw_affiliation_strings":["School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada. skhatoon@sfu.ca","Sch. of Eng. Sci., Simon Fraser Univ. Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada. skhatoon@sfu.ca","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Sch. of Eng. Sci., Simon Fraser Univ. Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012187461","display_name":"Ivan V. Baji\u0107","orcid":"https://orcid.org/0000-0003-3154-5743"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"I. V. Bajic","raw_affiliation_strings":["The School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","Sch. of Eng. Sci., Simon Fraser Univ. Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"The School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"Sch. of Eng. Sci., Simon Fraser Univ. Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012204259"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":6.5892,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.97233426,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"300","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9988999962806702,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9977999925613403,"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":0.7590774893760681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7550344467163086},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6968144774436951},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.6815620064735413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6741480827331543},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5675286650657654},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5382030010223389},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.5247754454612732},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5205098986625671},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4505421221256256},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4111191928386688},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3544350564479828},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.35435521602630615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2515401542186737},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.17201995849609375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11716023087501526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06821823120117188}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7590774893760681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7550344467163086},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6968144774436951},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.6815620064735413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741480827331543},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5675286650657654},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5382030010223389},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.5247754454612732},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5205098986625671},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4505421221256256},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4111191928386688},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3544350564479828},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.35435521602630615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2515401542186737},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.17201995849609375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11716023087501526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06821823120117188},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2012.2214049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2214049","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:22910117","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22910117","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1519467492","https://openalex.org/W1554544485","https://openalex.org/W1583320998","https://openalex.org/W1591547988","https://openalex.org/W1848883107","https://openalex.org/W1983135677","https://openalex.org/W1986082760","https://openalex.org/W1990455767","https://openalex.org/W1991150677","https://openalex.org/W2001756381","https://openalex.org/W2004797183","https://openalex.org/W2020999234","https://openalex.org/W2021636086","https://openalex.org/W2022848066","https://openalex.org/W2033819227","https://openalex.org/W2041318605","https://openalex.org/W2062962093","https://openalex.org/W2094852479","https://openalex.org/W2095874886","https://openalex.org/W2106219841","https://openalex.org/W2111100097","https://openalex.org/W2114220616","https://openalex.org/W2121435253","https://openalex.org/W2123330025","https://openalex.org/W2129249398","https://openalex.org/W2130196291","https://openalex.org/W2132103241","https://openalex.org/W2133099404","https://openalex.org/W2134644497","https://openalex.org/W2139210474","https://openalex.org/W2139467041","https://openalex.org/W2140199336","https://openalex.org/W2140789035","https://openalex.org/W2141265025","https://openalex.org/W2158890580","https://openalex.org/W2159895943","https://openalex.org/W2161193411","https://openalex.org/W2162587881","https://openalex.org/W2209124607","https://openalex.org/W2465493330","https://openalex.org/W2498631646","https://openalex.org/W2790830920","https://openalex.org/W4229530126","https://openalex.org/W6630847381","https://openalex.org/W6638934898","https://openalex.org/W6646481633","https://openalex.org/W6679751828","https://openalex.org/W6680866351"],"related_works":["https://openalex.org/W2060632806","https://openalex.org/W1967654336","https://openalex.org/W2068497149","https://openalex.org/W2548508763","https://openalex.org/W2040149295","https://openalex.org/W2119827331","https://openalex.org/W2169116484","https://openalex.org/W1541334882","https://openalex.org/W1524157000","https://openalex.org/W30047234"],"abstract_inverted_index":{"Despite":[0],"the":[1,12,53,59,67,72,78,87,94,110,119,126,129,143,146,161,169],"recent":[2,170],"progress":[3],"in":[4,36,71,139,145],"both":[5,19],"pixel-domain":[6],"and":[7,22,55,75,82,103,160],"compressed-domain":[8],"video":[9,38],"object":[10,120],"tracking,":[11],"need":[13],"for":[14,32],"a":[15,30,41,65,114,155],"tracking":[16,33],"framework":[17],"with":[18,125],"reasonable":[20,23],"accuracy":[21],"complexity":[24],"still":[25],"exists.":[26],"This":[27],"paper":[28],"presents":[29],"method":[31,69,151],"moving":[34],"objects":[35],"H.264/AVC-compressed":[37],"sequences":[39],"using":[40],"spatio-temporal":[42],"Markov":[43],"random":[44],"field":[45],"(ST-MRF)":[46],"model.":[47],"An":[48],"ST-MRF":[49,130],"model":[50],"naturally":[51],"integrates":[52],"spatial":[54],"temporal":[56],"aspects":[57],"of":[58,112,128,157,168],"object's":[60,147],"motion.":[61,148],"Built":[62],"upon":[63],"such":[64],"model,":[66,131],"proposed":[68,150],"works":[70],"compressed":[73,88],"domain":[74],"uses":[76],"only":[77],"motion":[79,101,105],"vectors":[80],"(MVs)":[81],"block":[83,100,116],"coding":[84],"modes":[85],"from":[86,135],"bitstream":[89],"to":[90,118,137,141],"perform":[91],"tracking.":[92],"First,":[93],"MVs":[95],"are":[96],"preprocessed":[97],"through":[98],"intracoded":[99],"approximation":[102],"global":[104],"compensation.":[106],"At":[107],"each":[108],"frame,":[109],"decision":[111],"whether":[113],"particular":[115],"belongs":[117],"being":[121],"tracked":[122],"is":[123,133,152],"made":[124],"help":[127],"which":[132],"updated":[134],"frame":[136,138],"order":[140],"follow":[142],"changes":[144],"The":[149],"tested":[153],"on":[154],"number":[156],"standard":[158],"sequences,":[159],"results":[162],"demonstrate":[163],"its":[164],"advantages":[165],"over":[166],"some":[167],"state-of-the-art":[171],"methods.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":5}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}