{"id":"https://openalex.org/W2138604104","doi":"https://doi.org/10.1109/icme.2003.1221249","title":"Object tracking using adaptive block matching","display_name":"Object tracking using adaptive block matching","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2138604104","doi":"https://doi.org/10.1109/icme.2003.1221249","mag":"2138604104"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2003.1221249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1221249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","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/A5026162799","display_name":"K. Hariharakrishnan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Hariharakrishnan","raw_affiliation_strings":["Multimedia Communications Laboratory, UIC, IL, USA","Multimedia Commun. Lab., UIC, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications Laboratory, UIC, IL, USA","institution_ids":[]},{"raw_affiliation_string":"Multimedia Commun. Lab., UIC, IL, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081723612","display_name":"Dan Schonfeld","orcid":"https://orcid.org/0000-0002-2772-4821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Schonfeld","raw_affiliation_strings":["Multimedia Communications Laboratory, UIC, IL, USA","Multimedia Commun. Lab., UIC, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Communications Laboratory, UIC, IL, USA","institution_ids":[]},{"raw_affiliation_string":"Multimedia Commun. Lab., UIC, IL, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109904004","display_name":"Philippe Raffy","orcid":null},"institutions":[{"id":"https://openalex.org/I2802964274","display_name":"Interface (United States)","ror":"https://ror.org/04nvtmr42","country_code":"US","type":"company","lineage":["https://openalex.org/I2802964274"]},{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Raffy","raw_affiliation_strings":["NeoMagic Corporation, CA, USA","Perceptual Interfaces & Reality Lab., Maryland Univ., College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NeoMagic Corporation, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Perceptual Interfaces & Reality Lab., Maryland Univ., College Park, MD, USA","institution_ids":["https://openalex.org/I66946132","https://openalex.org/I2802964274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021575235","display_name":"F. Yassa","orcid":null},"institutions":[{"id":"https://openalex.org/I2802964274","display_name":"Interface (United States)","ror":"https://ror.org/04nvtmr42","country_code":"US","type":"company","lineage":["https://openalex.org/I2802964274"]},{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F. Yassa","raw_affiliation_strings":["NeoMagic Corporation, CA, USA","Perceptual Interfaces & Reality Lab., Maryland Univ., College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NeoMagic Corporation, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Perceptual Interfaces & Reality Lab., Maryland Univ., College Park, MD, USA","institution_ids":["https://openalex.org/I66946132","https://openalex.org/I2802964274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"III","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.8201442956924438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8097668290138245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7224822640419006},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.6992555856704712},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6349443793296814},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6254570484161377},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.6220540404319763},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5825826525688171},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5625255107879639},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5179170966148376},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4709929823875427},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.46578139066696167},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.46092578768730164},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.452837198972702},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42686864733695984},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.41804227232933044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3721802532672882},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.34376758337020874},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19856059551239014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1773199439048767}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8201442956924438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8097668290138245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224822640419006},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.6992555856704712},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6349443793296814},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6254570484161377},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.6220540404319763},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5825826525688171},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5625255107879639},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5179170966148376},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4709929823875427},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.46578139066696167},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.46092578768730164},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.452837198972702},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42686864733695984},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.41804227232933044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3721802532672882},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.34376758337020874},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19856059551239014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1773199439048767},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2003.1221249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1221249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","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":20,"referenced_works":["https://openalex.org/W1578982614","https://openalex.org/W1987983010","https://openalex.org/W2017183134","https://openalex.org/W2039846678","https://openalex.org/W2104095591","https://openalex.org/W2106019631","https://openalex.org/W2110421183","https://openalex.org/W2129496427","https://openalex.org/W2131910503","https://openalex.org/W2142912032","https://openalex.org/W2146808563","https://openalex.org/W2153711628","https://openalex.org/W2154413888","https://openalex.org/W2155917807","https://openalex.org/W2164742238","https://openalex.org/W2167813720","https://openalex.org/W2171661814","https://openalex.org/W2751023760","https://openalex.org/W2753461371","https://openalex.org/W2912429777"],"related_works":["https://openalex.org/W1969136679","https://openalex.org/W1579940903","https://openalex.org/W2120898383","https://openalex.org/W2070879308","https://openalex.org/W4250500397","https://openalex.org/W2546764266","https://openalex.org/W2100145287","https://openalex.org/W1769856625","https://openalex.org/W2110459220","https://openalex.org/W1999265669"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2],"object-tracking":[3],"algorithm":[4,61,109],"that":[5],"predicts":[6],"the":[7,19,52,75,106,127,130],"object":[8,20,58],"contour":[9,27],"using":[10,22,29,90,113],"motion":[11,23,41,91],"vector":[12],"information.":[13],"Tracking":[14],"is":[15,48,95],"achieved":[16],"by":[17,26],"predicting":[18],"boundary":[21],"vectors,":[24],"followed":[25],"update,":[28],"occlusions/disocclusion":[30],"detection.":[31],"An":[32,44],"adaptive":[33],"block-based":[34],"approach":[35],"has":[36],"been":[37],"used":[38,49,56],"for":[39,57,62],"estimating":[40],"between":[42,54],"frames.":[43],"efficient":[45],"modulation":[46],"scheme":[47],"to":[50],"control":[51],"gap":[53],"frames":[55],"tracking.":[59],"The":[60,102],"detecting":[63],"occlusions":[64,86],"proceeds":[65],"in":[66,98],"two":[67],"steps.":[68],"First,":[69],"covered":[70,80],"regions":[71,81],"are":[72,82,110],"estimated":[73],"from":[74],"displaced":[76],"frame":[77],"difference.":[78],"These":[79],"classified":[83],"into":[84],"actual":[85],"and":[87,115],"false":[88],"alarms":[89],"characteristics.":[92],"Disocclusion":[93],"detection":[94],"also":[96],"performed":[97],"a":[99],"similar":[100],"manner.":[101],"immediate":[103],"applications":[104],"of":[105,129],"proposed":[107,131],"tracking":[108],"video":[111],"compression":[112],"MPEG-4":[114],"content":[116],"retrieval":[117],"based":[118],"on":[119],"standards":[120],"like":[121],"H.26L.":[122],"Preliminary":[123],"simulation":[124],"results":[125],"demonstrate":[126],"performance":[128],"algorithm.":[132]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
